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• Robustness Verification of Tree-based Models
• On the Structure of Ordered Latent Trait Models
• DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
• Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models
• UniDual: A Unified Model for Image and Video Understanding
• Loop-erased partitioning of a graph
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• Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks
• Non-Coherent Rate Splitting for the MISO BC with Magnitude CSIT
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• Deep Learning-Based Automatic Downbeat Tracking: A Brief Review
• Propagation of chaos for a General Balls into Bins dynamics
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• Learning to combine Grammatical Error Corrections
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• Selection of Waveform Parameters Using Machine Learning for 5G and Beyond
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• The role of ego vision in view-invariant action recognition
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• GLTR: Statistical Detection and Visualization of Generated Text
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• On the performance of various parallel GMRES implementations on CPU and GPU clusters
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• Enhanced Optimization with Composite Objectives and Novelty Pulsation
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• Video Modeling with Correlation Networks
• Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
• Structural Decompositions for End-to-End Relighting
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• On the Leaders’ Graphical Characterization for Controllability of Path Related Graphs
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• The regulator problem for the one-dimensional Schrodinger equation via the backstepping approach
• Optimal Convergence for Stochastic Optimization with Multiple Expectation Constraints
• Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis
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• GSI: GPU-friendly Subgraph Isomorphism
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• Convergence in Density of Splitting AVF Scheme for Stochastic Langevin Equation
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• Defending against Adversarial Attacks through Resilient Feature Regeneration
• Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation
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• Linear Optimization of Polynomials and Rational Functions over Boxes
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• On statistical Calderón problems
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• apricot: Submodular selection for data summarization in Python
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• Chauffeuring a Crashed Robot from a Disk
• Context-driven Active and Incremental Activity Recognition
• A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation
• Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration
• Closed-loop adaptive control of extreme events in a turbulent flow
• Computing Exact Guarantees for Differential Privacy
• DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks
• Approximate Identification of the Optimal Epidemic Source in Complex Networks
• A Tree Pattern Matching Algorithm for XML Queries with Structural Preferences
• Polyak Steps for Adaptive Fast Gradient Method
• Robust subgaussian estimation of a mean vector in nearly linear time
• Maximum nullity and zero forcing of circulant graphs
• CoAPI: An Efficient Two-Phase Algorithm Using Core-Guided Over-Approximate Cover for Prime Compilation of Non-Clausal Formulae
• Unsupervised Representation Learning of DNA Sequences
• Improving Relation Extraction by Pre-trained Language Representations
• Limit theory for unbiased and consistent estimators of statistics of random tessellations
• Shared-Private Bilingual Word Embeddings for Neural Machine Translation
• Optimal algebraic Breadth-First Search for sparse graphs
• A comparison principle between rough and non-rough Heston models – with applications to the volatility surface
• Word-based Domain Adaptation for Neural Machine Translation
• Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation
• Invariant Schreier decorations of unimodular random networks
• HPILN: A feature learning framework for cross-modality person re-identification
• Spreading linear triple systems and expander triple systems
• A deep learning approach for automated detection of geographic atrophy from color fundus photographs
• Structured Variational Inference in Continuous Cox Process Models
• Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface with Discrete Phase Shifts
• Random walk on the simple symmetric exclusion process
• Subdivision of Maps of Digital Images
• Analyzing Social Media Data to Understand Consumers’ Information Needs on Dietary Supplements
• Ego-Pose Estimation and Forecasting as Real-Time PD Control
• Mean Field Games for Multi-agent Systems with Multiplicative Noises
• Modelling the spatial extent and severity of extreme European windstorms
• Correlation bounds, mixing and m-dependence under random time-varying network distances with an application to Cox-Processes
• Singularities and radical initial ideals
• Fighting Quantization Bias With Bias
• Lightweight Parallel Foundations: a model-compliant communication layer
• Multimodal End-to-End Autonomous Driving
• Recurrent Kernel Networks
• A conjecture of Verstraëte on vertex-disjoint cycles
• Hypercontractivity, and Lower Deviation Estimates in Normed Spaces
• Building a Production Model for Retrieval-Based Chatbots
• The varying importance of extrinsic factors in the success of startup fundraising: competition at early-stage and networks at growth-stage
• Hierarchical Event-triggered Learning for Cyclically Excited Systems with Application to Wireless Sensor Networks
• Finite Markov chains coupled to general Markov processes and an application to metastability
• Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data
• Sunklodas’ approach to normal approximation for time-dependent dynamical systems
• Data-to-text Generation with Entity Modeling
• Inferring phenotypic trait evolution on large trees with many incomplete measurements
• Machine Learning Prediction of Accurate Atomization Energies of Organic Molecules from Low-Fidelity Quantum Chemical Calculations
• Zooming Cautiously: Linear-Memory Heuristic Search With Node Expansion Guarantees
• Ensemble Pruning via Margin Maximization
• Evolving Losses for Unlabeled Video Representation Learning
• Learning Word Embeddings with Domain Awareness
• Disentangled State Space Representations

• Highly Scalable and Flexible Model for Effective Aggregation of Context-based Data in Generic IIoT Scenarios
• Representing and Using Knowledge with the Contextual Evaluation Model
• Unsupervised and Supervised Principal Component Analysis: Tutorial
• A new approach for open-end sequential change point monitoring
• An Analysis of Emotion Communication Channels in Fan Fiction: Towards Emotional Storytelling
• StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks
• Covariance in Physics and Convolutional Neural Networks
• Practical Deep Learning with Bayesian Principles
• Cross-Lingual Training for Automatic Question Generation
• Removing Rain in Videos: A Large-scale Database and A Two-stream ConvLSTM Approach
• Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
• Contextual Relabelling of Detected Objects
• (Pen-) Ultimate DNN Pruning
• Multidimensional Outlier Detection in Temporal Interaction Networks: An Application to Political Communication on Twitter
• ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling
• Combining Generative and Discriminative Models for Hybrid Inference
• An End-to-End Learning-based Cost Estimator
• Localizing Catastrophic Forgetting in Neural Networks
• Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
• Combining Reinforcement Learning and Configuration Checking for Maximum k-plex Problem
• Model predictive control with stage cost shaping inspired by reinforcement learning
• Quaternion Collaborative Filtering for Recommendation
• Multi-Frequency Vector Diffusion Maps
• Generating Question-Answer Hierarchies
• Toward a Characterization of Loss Functions for Distribution Learning
• Classical Policy Gradient: Preserving Bellman’s Principle of Optimality
• Deep Semi-Supervised Anomaly Detection
• Visualizing and Measuring the Geometry of BERT
• A novel approach to model exploration for value function learning
• FSPool: Learning Set Representations with Featurewise Sort Pooling
• Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy
• One-Shot Neural Architecture Search via Compressive Sensing
• Negative binomial-reciprocal inverse Gaussian distribution: Statistical properties with applications
• Comparison of block-based and hybrid-based programming environments in transferring programming skills to text-based environment
• A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access
• Modeling e-Learners’ Cognitive and Metacognitive Strategy in Comparative Question Solving
• Unsupervised Temporal Clustering to Monitor the Performance of Alternative Fueling Infrastructure
• Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing?
• The Architectural Implications of Facebook’s DNN-based Personalized Recommendation
• Ease-of-Teaching and Language Structure from Emergent Communication
• Uniform Minors in Maximally Recoverable Codes
• Bridging the Gap between Training and Inference for Neural Machine Translation
• The emerging sectoral diversity of startup ecosystems
• On Berge-Ramsey problems
• Asymptotic normality for random simplices and convex bodies in high dimensions
• Introducing languid particle dynamics to a selection of PSO variants
• Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling
• The Open Vault Challenge — Learning how to build calibration-free interactive systems by cracking the code of a vault
• The route to chaos in routing games: Population increase drives period-doubling instability, chaos & inefficiency with Price of Anarchy equal to one
• Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN)
• Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric
• A note on eigenvalues estimates for one-dimensional diffusion operators
• 3D Integration: Another Dimension Toward Hardware Security
• Fine-Grained Entity Typing in Hyperbolic Space
• Derivational Morphological Relations in Word Embeddings
• On the distribution of runners on a circle
• Degree-based Outlier Detection within IP Traffic Modelled as a Link Stream
• Symbol Message Passing Decoding of Nonbinary Low-Density Parity-Check Codes
• STN-Homography: estimate homography parameters directly
• Hierarchical Bayesian myocardial perfusion quantification
• Criticality of measures on 2-d Ising configurations: from square to hexagonal graphs
• Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
• Assouad spectrum thresholds for some random constructions
• Measuring the compositionality of noun-noun compounds over time
• Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains
• Cylindric Hecke characters and Gromov-Witten invariants via the asymmetric six-vertex model
• On typical encodings of multivariate ergodic sources
• GIBBONR: An R package for the detection and classification of acoustic signals using machine learning
• Estimation and Tracking of a Moving Target by Unmanned Aerial Vehicles
• Nearly $k$-distance sets
• Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers
• Flexibly Fair Representation Learning by Disentanglement
• On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks
• Acceleration Based Iterative Learning Control for Pugachev’s Cobra Maneuver with Quadrotor Tail-sitter VTOL UAVs
• Circular automata synchronize with high probability
• The first order statistics of backscatter from the fractal branching vasculature
• Hamiltonian descent for composite objectives
• Bad Global Minima Exist and SGD Can Reach Them
• The ${[46,9,20]_2}$ code is unique
• Theta operators, refined Delta conjectures, and coinvariants
• When Does Label Smoothing Help?
• $e$-positivity of vertical strip LLT polynomials
• Scaling Autoregressive Video Models
• An Inverse Optimization Approach to Measuring Clinical Pathway Concordance
• A Bayesian approach for the analysis of error rate studies in forensic science
• Near Neighbor: Who is the Fairest of Them All?
• An Extensible Interactive Interface for Agent Design
• An Efficient Characterization of Submodular Spanning Tree Games
• Onset of synchronization in networks of second-order Kuramoto oscillators with delayed coupling: Exact results and application to phase-locked loops
• A Unifying Optimal Control Framework for Online Job Scheduling with General Cost Functions
• Energy Predictive Models with Limited Data using Transfer Learning
• A Class of Distributed Event-Triggered Average Consensus Algorithms for Multi-Agent Systems
• Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections
• Does Object Recognition Work for Everyone?
• How a Single Paper Affects the Impact Factor: Implications for Scholarly Publishing
• Exponential integrability and exit times of diffusions on sub-Riemannian and RCD*(K,N) spaces
• Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions
• Bargmann-Fock percolation is noise sensitive
• Failures detection at directional drilling using real-time analogues search
• A dual process for the coupled Wright-Fisher diffusion
• Ranking and synchronization from pairwise measurements via SVD
• A method for the classification of chimera states of coupled oscillators and its application for creating a neural network information converter
• Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network
• Stochastic Bandits with Context Distributions
• An Introduction to Variational Autoencoders
• Training large-scale ANNs on simulated resistive crossbar arrays
• A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent
• Synthesis of control Lyapunov functions and stabilizing feedback strategies using exit-time optimal control
• Unsupervised Co-Learning on $\mathcal{G}$-Manifolds Across Irreducible Representations
• Adaptive Gradient-Based Meta-Learning Methods
• The Contextuality-by-Default View of the Sheaf-Theoretic Approach to Contextuality
• Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization
• A Class of Random Recursive Tree Algorithms with Deletion
• Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild
• 3D-RelNet: Joint Object and Relational Network for 3D Prediction
• A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis
• On the definition of informative vs. ignorable nuisance process
• Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
• Residual Flows for Invertible Generative Modeling
• DeepMDP: Learning Continuous Latent Space Models for Representation Learning
• Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
• Mesh R-CNN
• Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
• The correlation function of a queue with Levy and Markov additive input
• Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP
• Mr and Professor
• Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies
• Active Deep Decoding of Linear Codes
• Syntactically Supervised Transformers for Faster Neural Machine Translation
• From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences
• Flat Hybrid Automata as a Class of Reachable Systems: Introductory Theory and Examples
• Some statistics about Tropical Sandpile Model
• Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
• V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
• Segment Integrated Gradients: Better attributions through regions
• From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation
• Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
• Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
• Detection and Tracking of Multiple Mice Using Part Proposal Networks
• A simplicial complex spliting associativity
• How to make a pizza: Learning a compositional layer-based GAN model
• Deep Compositional Spatial Models
• Quasi-automatic semigroups
• Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
• Multi-scale guided attention for medical image segmentation
• Figure Captioning with Reasoning and Sequence-Level Training
• Recognizing American Sign Language Manual Signs from RGB-D Videos
• Learning Clustered Representation for Complex Free Energy Landscapes
• Diffusion on dynamic contact networks with indirect transmission links
• Does Generative Face Completion Help Face Recognition?
• Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer
• Distributed bilayered control for transient frequency safety and system stability in power grids
• Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images
• Deep Spherical Quantization for Image Search

• Neural Bug Finding: A Study of Opportunities and Challenges
• Smart Contract Design Meets State Machine Synthesis: Case Studies
• Learning Software Configuration Spaces: A Systematic Literature Review
• Transwarp Conduit: Interoperable Blockchain Application Framework
• Linear and Quadratic Discriminant Analysis: Tutorial
• An Effective Algorithm for Learning Single Occurrence Regular Expressions with Interleaving
• Learning to Rank for Plausible Plausibility
• A Passage-Based Approach to Learning to Rank Documents
• GOT: An Optimal Transport framework for Graph comparison
• Artificial Intelligence in Clinical Health Care Applications: Viewpoint
• Diameter-based Interactive Structure Search
• Don’t Paint It Black: White-Box Explanations for Deep Learning in Computer Security
• Can Graph Neural Networks Help Logic Reasoning?
• Combining Physics-Based Domain Knowledge and Machine Learning using Variational Gaussian Processes with Explicit Linear Prior
• Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework
• Variational Pretraining for Semi-supervised Text Classification
• Robust real-time monitoring of high-dimensional data streams
• Deep Q-Learning for Directed Acyclic Graph Generation
• SParC: Cross-Domain Semantic Parsing in Context
• Automated Machine Learning: State-of-The-Art and Open Challenges
• Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm
• Self-Activation Influence Maximization
• Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning
• Private Deep Learning with Teacher Ensembles
• A Tunable Loss Function for Classification
• How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
• A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance
• Deep Reinforcement Learning for Multi-objective Optimization
• Enhancing Multi-model Inference with Natural Selection
• Multi-view Knowledge Graph Embedding for Entity Alignment
• Query-efficient Meta Attack to Deep Neural Networks
• Uncertainty-guided Continual Learning with Bayesian Neural Networks
• Clustered Reinforcement Learning
• Using anomaly detection to support classification of fast running (packaging) processes
• Estimation with informative missing data in the low-rank model with random effects
• Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
• Ihara Zeta Entropy
• What you need is a more professional teacher
• Boosting Operational DNN Testing Efficiency through Conditioning
• Artificial Intelligence helps making Quality Assurance processes leaner
• Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data
• Synchronized Wavelength-Swept Signal Transmission and its Ability to Evade Optical Reflection Crosstalk
• Prediction of Workplace Injuries
• Automated Classification of Seizures against Nonseizures: A Deep Learning Approach
• A copula-based bivariate integer-valued autoregressive process with application
• Locally Heavy Hyperplanes in Multiarrangements
• Large-Scale Multi-Label Text Classification on EU Legislation
• Automated Activity Recognition of Construction Equipment Using a Data Fusion Approach
• On Low Complexity RLL Code for Visible Light Communication
• On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations
• Exact enumeration approach to first-passage time distribution of non-Markov random walks
• Unbiased estimators for the variance of MMD estimators
• Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
• Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition
• A Guidance Law for Terminal Phase Exo-Atmospheric Interception Against a Maneuvering Target using Angle-Only Measurements Optimized using Reinforcement Meta-Learning
• A Games-in-Games Approach to Mosaic Command and Control Design of Dynamic Network-of-Networks for Secure and Resilient Multi-Domain Operations
• Typical dynamics and fluctuation analysis of slow-fast systems driven by fractional Brownian motion
• Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning
• Cubic-Spline Flows
• Building a Computer Mahjong Player via Deep Convolutional Neural Networks
• Triangles in $K_s$-saturated graphs with minimum degree $t$
• Anticipation in collaborative music performance using fuzzy systems: a case study
• Kirkman Systems that Attain the Upper Bound on the Minimum Block Sum, for Access Balancing in Distributed Storage
• Locally optimal designs for generalized linear models within the family of Kiefer $Φ_k$-criteria
• A novel characterization and new simple tests of multivariate independence using copulas
• A systematic framework for natural perturbations from videos
• Joint Synchronization, Phase Noise and Compressive Channel Estimation in Hybrid Frequency-Selective mmWave MIMO Systems
• Group divisible designs with block size four and type $g^u b^1 (gu/2)^1$
• Estimating Feature-Label Dependence Using Gini Distance Statistics
• Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
• Memories of initial states and density imbalance in dynamics of interacting disordered systems
• Nail Polish Try-On: Realtime Semantic Segmentation of Small Objects for Native and Browser Smartphone AR Applications
• Signaletic operads
• Quantum Algorithms for Solving Dynamic Programming Problems
• Weighted Irrigation Plans
• Updating the Wassenaar Debate Once Again: Surveillance, Intrusion Software, and Ambiguity
• Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings
• ECH capacities, Ehrhart theory, and toric varieties
• Adaptation Across Extreme Variations using Unlabeled Domain Bridges
• Extracting Symptoms and their Status from Clinical Conversations
• A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings
• Energy and Policy Considerations for Deep Learning in NLP
• Complex Evolution Recurrent Neural Networks (ceRNNs)
• General Purpose Incremental Covariance Update and Efficient Belief Space Planning via Factor-Graph Propagation Action Tree
• Optimal control of infinite-dimensional Piecewise Deterministic Markov Processes: a BSDE approach. Application to the control of an excitable cell membrane
• Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior
• Butterfly Transform: An Efficient FFT Based Neural Architecture Design
• Quasi-invariance of fractional Gaussian fields nonlinear wave equation with polynomial nonlinearity
• Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking
• Sidewalk and Toronto: Critical Systems Heuristics and the Smart City
• Bayesian Wavelet-packet Historical Functional Linear Models
• Robustness and Tractability for Non-convex M-estimators
• Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm
• An Imitation Learning Approach to Unsupervised Parsing
• A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control
• Investigation of Cyber Attacks on a Water Distribution System
• Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation
• Enhancing Gradient-based Attacks with Symbolic Intervals
• Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
• Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian
• Random sequential adsorption of Platonic and Archimedean solids
• Progressive NAPSAC: sampling from gradually growing neighborhoods
• A neural network based policy iteration algorithm with global $H^2$-superlinear convergence for stochastic games on domains
• Implied and Realized Volatility: A Study of Distributions and the Distribution of Difference
• Low rank plus sparse decomposition of synthetic aperture radar data for target imaging and tracking
• Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated Market Response
• Greed is Not Always Good: On Submodular Maximization over Independence Systems
• Highly Parallelized Data-driven MPC for Minimal Intervention Shared Control
• DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
• DOT: Gene-set analysis by combining decorrelated association statistics
• Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection
• Improved low-count quantitative PET reconstruction with a variational neural network
• Context Attentive Document Ranking and Query Suggestion
• OutdoorSent: Can Semantic Features Help Deep Learning in Sentiment Analysis of Outdoor Images?
• On the graphical stability of hybrid solutions with non-matching jump times: Extended Paper
• MNIST-C: A Robustness Benchmark for Computer Vision
• Towards Business Partnership Recommendation Using User Opinion on Facebook
• Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
• Syntax-Infused Variational Autoencoder for Text Generation
• On the Convergence of SARAH and Beyond
• One Additional Qubit is Enough: Encoded Embeddings for Boolean Components in Quantum Circuits
• Efficient Subsampled Gauss-Newton and Natural Gradient Methods for Training Neural Networks
• Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
• Survey on Publicly Available Sinhala Natural Language Processing Tools and Research
• All Terminal Reliability Roots of Smallest Modulus
• Intelligent Reflecting Surface Assisted Multi-User MISO Communication
• Explain Yourself! Leveraging Language Models for Commonsense Reasoning
• Context-Aware Visual Policy Network for Fine-Grained Image Captioning
• Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
• Omnidirectional Scene Text Detection with Sequential-free Box Discretization
• Blockwise Based Detection of Local Defects
• Non-Linear Estimation of Convolutionally Encoded Sequences
• Distributed Optimal Load Frequency Control Considering Nonsmooth Cost Functions
• Selecting Biomarkers for building optimal treatment selection rules using Kernel Machines
• A General $\mathcal{O}(n^2)$ Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM
• Generative Model-Based Ischemic Stroke Lesion Segmentation
• Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks
• Passive Multi-Target Tracking Using the Adaptive Birth Intensity PHD Filter
• Obstructed Target Tracking in Urban Environments
• SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks
• Learning to regularize with a variational autoencoder for hydrologic inverse analysis
• Indirect interactions influence contact network structure and diffusion dynamics
• Comprehensive Personalized Ranking Using One-Bit Comparison Data
• A partial order and cluster-similarity metric on rooted phylogenetic trees
• Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation
• Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
• Zorro: A Model Agnostic System to Price Consumer Data
• Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network
• Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing
• One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis
• Amortized Inference of Variational Bounds for Learning Noisy-OR
• Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
• Shift-of-Perspective Identification Within Legal Cases
• Nonconvex Approach for Sparse and Low-Rank Constrained Models with Dual Momentum
• Complete Dictionary Learning via $\ell^4$-Norm Maximization over the Orthogonal Group
• Primal-Dual Block Frank-Wolfe
• GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling
• Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants
• Should Adversarial Attacks Use Pixel p-Norm?
• Robust Neural Machine Translation with Doubly Adversarial Inputs
• Fault Diagnosis of Rotary Machines using Deep Convolutional Neural Network with three axis signal input
• Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences
• Joint Optimization of Cooperative Communication and Computation in Two-Way Relay MEC Systems
• Quantum Distributed Algorithm for the All-Pairs Shortest Path Problem in the CONGEST-CLIQUE Model
• Unsupervised Pivot Translation for Distant Languages
• ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
• Optimized Deployment of Millimeter Wave Networks for In-venue Regions with Stochastic Users’ Orientation
• CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data
• Anytime Lane-Level Intersection Estimation Based on Trajectories
• Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos
• Gradual Machine Learning for Aspect-level Sentiment Analysis
• Counterfactual Inference for Consumer Choice Across Many Product Categories
• Likelihood Ratios for Out-of-Distribution Detection
• Market Implementation of Multiple-Arrival Multiple-Deadline Differentiated Energy Services
• Optimal Resource Procurement and the Price of Causality
• Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck

On the Use of Information Retrieval to Automate the Detection of Third-Party Java Library Migration at the Method Level
Adroitness: An Android-based Middleware for Fast Development of High-performance Apps
Architectural Middleware that Supports Building High-performance, Scalable, Ubiquitous, Intelligent Personal Assistants
Revisiting Hyper-Parameter Tuning for Search-based Test Data Generation
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
An Introduction to Deep Morphological Networks
Reinforcement Learning When All Actions are Not Always Available
Foundations of Constructive Probability Theory
Risks from Learned Optimization in Advanced Machine Learning Systems
Data Sketching for Faster Training of Machine Learning Models
On Testing Marginal versus Conditional Independence
Invariant Tensor Feature Coding
Fair Near Neighbor Search: Independent Range Sampling in High Dimensions
Enumeration of Distinct Support Vectors for Interactive Decision Making
Baby steps towards few-shot learning with multiple semantics
Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples
Detecting linear trend changes and point anomalies in data sequences
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis
Enhancing interoperable datasets with virtual links
Interpretable and Differentially Private Predictions
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter
An Information-Theoretical Approach to the Information Capacity and Cost-Effectiveness Evaluation of Color Palettes
IoT-Enabled Distributed Data Processing for Precision Agriculture
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks
Dimensional crossover in the aging dynamics of spin glasses in a film geometry
Shellings from relative shellings, with an application to NP-completeness
Counting independent sets in unbalanced bipartite graphs
Bayesian Active Learning With Abstention Feedbacks
5G Downlink Multi-Beam Signal Design for LOS Positioning
On General Lattice Quantization Noise
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain
Solution of the Kolmogorov equation for TASEP
Scalable Spatial Scan Statistics for Trajectories
Visual Fixations Duration as an Indicator of Skill Level in eSports
On Benjamini-Hochberg procedure applied to mid p-values
Natural Gas Flow Solvers using Convex Relaxation
Optimal auction duration: A price formation viewpoint
An optimization framework for resilient batch estimation in Cyber-Physical Systems
High-resolution estimates of the foreign-born population and international migration for the United States
Nonlinear Equivalent Resistance-based Maximum Power Point Tracking (MPPT)
Memory-assisted Statistically-ranked RF Beam Training Algorithm for Sparse MIMO
Monopulse-based THz Beam Tracking for Indoor Virtual Reality Applications
A Best Possible Result for the Square of a 2-Block to be Hamiltonian
Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction
Manifold-regression to predict from MEG/EEG brain signals without source modeling
Distributed Training with Heterogeneous Data: Bridging Median and Mean Based Algorithms
Geo-Aware Networks for Fine Grained Recognition
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
Fréchet random forests
On the computability properties of topological entropy: a general approach
Balanced Ranking with Diversity Constraints
The simple exclusion process on finite connected graphs
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat
Going Deep: Models for Continuous-TimeWithin-Play Valuation of Game Outcomesin American Football with Tracking Data
Generalized Linear Rule Models
Entity-Centric Contextual Affective Analysis
Visual Story Post-Editing
4.5 GHz Lithium Niobate MEMS Filters with 10% Fractional Bandwidth for 5G Front-ends
Indirect Inference for Locally Stationary Models
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
Lifelong Learning with a Changing Action Set
Simulation of Programmable Matter Systems Using Active Tile-Based Self-Assembly
RIP-based performance guarantee for low-tubal-rank tensor recovery
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection
Learning to Compose and Reason with Language Tree Structures for Visual Grounding
Global Optimality Guarantees For Policy Gradient Methods
Learning Deep Transformer Models for Machine Translation
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology
Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
A Sustainable Multi-modal Multi-layer Emotion-aware Service at the Edge
The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing
Turán number of disjoint triangles in 4-partite graphs
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
Opportunistic NOMA-based Low-Latency Uplink Transmissions
Discriminative Few-Shot Learning Based on Directional Statistics
Infant Contact-less Non-Nutritive Sucking Pattern Quantification via Facial Gesture Analysis
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks
Proper disconnection of graphs
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation
Fusion of Mobile Device Signal Data Attributes Enables Multi-Protocol Entity Resolution and Enhanced Large-Scale Tracking
How Many Impulses Redux
Improving Textual Network Embedding with Global Attention via Optimal Transport
Detecting Kissing Scenes in a Database of Hollywood Films
Probabilistic hypergraph grammars for efficient molecular optimization
Compact Approximation for Polynomial of Covariance Feature
Variational Spectral Graph Convolutional Networks
Spatial automatic subgroup analysis for areal data with repeated measures
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
GRAM: Scalable Generative Models for Graphs with Graph Attention Mechanism
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
OpenEI: An Open Framework for Edge Intelligence
Non-Wire Alternatives: an Additional Value Stream for Distributed Energy Resources
A Survey of Behavior Learning Applications in Robotics — State of the Art and Perspectives
Deep learning based unsupervised concept unification in the embedding space
Terminology-based Text Embedding for Computing Document Similarities on Technical Content
A semi-implicit relaxed Douglas-Rachford algorithm (sir-DR) for Ptychograhpy
pCAMP: Performance Comparison of Machine Learning Packages on the Edges
Data-driven Thresholding in Denoising with Spectral Graph Wavelet Transform
David and Goliath: Privacy Lobbying in the European Union
Farm land weed detection with region-based deep convolutional neural networks
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks
Genetic Random Weight Change Algorithm for the Learning of Multilayer Neural Networks
A Robust Roll Angle Estimation Algorithm Based on Gradient Descent
AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework
Corn leaf detection using Region based convolutional neural network
On Colourability of Polygon Visibility Graphs
Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection
Training Temporal Word Embeddings with a Compass
Towards Document Image Quality Assessment: A Text Line Based Framework and A Synthetic Text Line Image Dataset
Empirical Risk Minimization under Random Censorship: Theory and Practice
Consistency regularization and CutMix for semi-supervised semantic segmentation
Expectation Propagation Detector for Extra-Large Scale Massive MIMO
Neural Learning of Online Consumer Credit Risk
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity
Approximate Inference Turns Deep Networks into Gaussian Processes
Evaluating Geospatial RDF stores Using the Benchmark Geographica 2
Human Activity Recognition with Convolutional Neural Netowrks
Dynamic monopolistic competition with sluggish adjustment of entry and exit
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron
Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts
Maximizing Energy Battery Efficiency in Swarm Robotics
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions
Efficient, Lexicon-Free OCR using Deep Learning
Efficient Codebook and Factorization for Second Order Representation Learning
Generating Multi-Sentence Abstractive Summaries of Interleaved Texts
A Model-free Approach to Linear Least Squares Regression with Exact Probabilities and Applications to Covariate Selection
Distributed Weighted Matching via Randomized Composable Coresets
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
Machine Learning and System Identification for Estimation in Physical Systems
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation
Visual Confusion Label Tree For Image Classification
Correlation of a macroscopic dent in a wedge with mixed boundary conditions
Symmetries of shamrocks IV: The self-complementary case
Last-iterate convergence rates for min-max optimization
Resonance graphs of catacondensed even ring systems
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images
Evaluating Explainers via Perturbation
Multi-way Encoding for Robustness
Renewal Time Points for Hawkes Processes
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage
Imitation Learning for Non-Autoregressive Neural Machine Translation
Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion
An Interposer-Based Root of Trust: Seize the Opportunity for Secure System-Level Integration of Untrusted Chiplets
The FRENK Datasets of Socially Unacceptable Discourse in Slovene and English
Infinite paths on a random environment of $\mathbb{Z}^2$ with bounded and recurrent sums
KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning
Modern Random Access for Beyond-5G Systems: a Multiple-Relay ALOHA Perspective
The Language of Dialogue Is Complex
Neural Legal Judgment Prediction in English
Adapting Neural Networks for the Estimation of Treatment Effects
Gradient-Based Neural DAG Learning
Finding Friend and Foe in Multi-Agent Games
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions

A Hybrid Algorithm for Metaheuristic Optimization
An Introduction to a New Text Classification and Visualization for Natural Language Processing Using Topological Data Analysis
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference
On the Realization of Compositionality in Neural Networks
Relational Reasoning using Prior Knowledge for Visual Captioning
Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees
Inference robust to outliers with l1-norm penalization
Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures
How Large Are Lions? Inducing Distributions over Quantitative Attributes
Entropic regularization of continuous optimal transport problems
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG
Architecture Selection via the Trade-off Between Accuracy and Robustness
KarNet: An Efficient Boolean Function Simplifier
What do AI algorithms actually learn? – On false structures in deep learning
Generative Adversarial Networks: A Survey and Taxonomy
Bayesian Optimization of Composite Functions
In-memory hyperdimensional computing
Streaming Variational Monte Carlo
Collaborative Translational Metric Learning
Hamiltonian Neural Networks
A Study of Feature Extraction techniques for Sentiment Analysis
Sequential Neural Networks as Automata
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers
Open Sesame: Getting Inside BERT’s Linguistic Knowledge
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets
Understanding Distributional Ambiguity via Non-robust Chance Constraint
The Computational Structure of Unintentional Meaning
Grounded Human-Object Interaction Hotspots from Video (Extended Abstract)
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training
Nonatomic Aggregative Games with Infinitely Many Types
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance
Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Need for Critical Cyber Defence, Security Strategy and Privacy Policy in Bangladesh – Hype or Reality?
On some properties of symplectic Grothendieck polynomials
Conical Kakeya and Nikodym Sets in Finite Fields
Information Competing Process for Learning Diversified Representations
Optimal Unsupervised Domain Translation
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue
On a version of the spectral excess theorem
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification
Example-Guided Style Consistent Image Synthesis from Semantic Labeling
On the $r$-shifted central triangles of a Riordan array
Riemannian Trust Region Method for Haplotype Assembly
Color Constancy Convolutional Autoencoder
Estimating Real Log Canonical Thresholds
Face Parsing with RoI Tanh-Warping
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching
Exploiting Offset-guided Network for Pose Estimation and Tracking
Characteristic Parameters and Special Trapezoidal Words
End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On
Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks
The Classical Capacity of a Quantum Erasure Queue-Channel
State-aware Re-identification Feature for Multi-target Multi-camera Tracking
NNE: A Dataset for Nested Named Entity Recognition in English Newswire
HighRES: Highlight-based Reference-less Evaluation of Summarization
Reconfigurable Atomic Transaction Commit (Extended Version)
Relational Word Embeddings
Autonomous Reinforcement Learning of Multiple Interrelated Tasks
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Bifurcation analysis of a TaO memristor model
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs
Detecting Ghostwriters in High Schools
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks
SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference
Extinction time of logistic branching processes in a Brownian environment
Semi- and Weakly-supervised Human Pose Estimation
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Consensus of fractional-order multi-agent systems: Matrix inequality approach
Selective Style Transfer for Text
Options as responses: Grounding behavioural hierarchies in multi-agent RL
Evaluating Discourse in Structured Text Representations
MISO is Making a Comeback With Better Proofs and Rates
Scenario approach for minmax optimization with emphasis on the nonconvex case: positive results and caveats
Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks
L-SVRG and L-Katyusha with Arbitrary Sampling
The $Λ$-invariant and topological pathways to influence sub-micron strength and crystal plasticity
Partial and semi-partial measures of spatial associations for multivariate lattice data
Self-planting: digging holes in rough landscapes
PCA-driven Hybrid network design for enabling Intelligence at the Edge
How multilingual is Multilingual BERT?
Performance Requirements of Advanced Healthcare Services over Future Cellular Systems
Embedded hyper-parameter tuning by Simulated Annealing
Convergence of the solutions of the MFG discounted Hamilton-Jacobi equation
The Alon-Tarsi number of subgraphs of a planar graph
A numerical measure of the instability of Mapper-type algorithms
Higher-order moment portfolio optimization via difference-of-convex programming and sums-of-squares
Randomized Channel Sparsifying Hybrid Precoding for FDD Massive MIMO Systems
Quasi-automatic groups are asynchronously automatic
Text-based Editing of Talking-head Video
Cross-Domain Cascaded Deep Feature Translation
Adversarial Training Generalizes Data-dependent Spectral Norm Regularization
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue
Successive minimum spanning trees
Visual Tree Convolutional Neural Network in Image Classification
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains
Localization in Aerial Imagery with Grid Maps using LocGAN
Enumeration of planar Tangles
Natural Vocabulary Emerges from Free-Form Annotations
Training Neural Response Selection for Task-Oriented Dialogue Systems
Optimal coding and the origins of Zipfian laws
Task-Guided Pair Embedding in Heterogeneous Network
Mixture of hidden Markov models for accelerometer data
Towards Task and Architecture-Independent Generalization Gap Predictors
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking
Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach
Disentangling neural mechanisms for perceptual grouping
How much can the eigenvalues of a random Hermitian matrix fluctuate?
GAMMA: A General Agent Motion Prediction Model for Autonomous Driving
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation
Distribution Network Marginal Costs – Part I: A Novel AC OPF Including Transformer Degradation
Distribution Network Marginal Costs — Part II: Case Study Based Numerical Findings
Pitfalls in the Evaluation of Sentence Embeddings
Effective LHC measurements with matrix elements and machine learning
Robust exploration in linear quadratic reinforcement learning
Edge State Transfer
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
Finding Syntactic Representations in Neural Stacks
A Nonlinear Acceleration Method for Iterative Algorithms
Motivo: fast motif counting via succinct color coding and adaptive sampling
Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems
Sparse Representation Classification via Screening for Graphs
On Provisioning Cellular Networks for Distributed Inference
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
KERMIT: Generative Insertion-Based Modeling for Sequences
Transferable Neural Projection Representations
Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games
Covariate-Powered Empirical Bayes Estimation
A combinatorial criterion for macroscopic circles in planar triangulations
The Dirichlet problem for orthodiagonal maps
Confidence Regions in Wasserstein Distributionally Robust Estimation
Self-Attentional Models for Lattice Inputs
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Higher-Order Accelerated Methods for Faster Non-Smooth Optimization
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
Off-Policy Evaluation via Off-Policy Classification
Encoding Invariances in Deep Generative Models
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Resilient State Estimation for Discrete-Time Linear Systems
Towards Lossless Encoding of Sentences
Detecting Syntactic Change Using a Neural Part-of-Speech Tagger
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning
4-D Scene Alignment in Surveillance Video
Power Law Public Goods Game for Personal Information Sharing in News Comments
Learning dynamic polynomial proofs
A Differentially Private Incentive Design for Traffic Offload to Public Transportation
Stochastic Gradients for Large-Scale Tensor Decomposition
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
A Multi-Pass GAN for Fluid Flow Super-Resolution
Reinforcement Learning with Low-Complexity Liquid State Machines
Legislative effectiveness hangs in the balance: Studying balance and polarization through partitioning signed networks
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future

A new version of the free Coursera course “Process Mining: Data Science in Action” will start on November 28th 2016. The course is highly relevant for anyone that wants to improve his/her analytical skills. The focus is on data science methods applied to event data, e.g., for BPM, CRM, ERP, CEP, and (Lean) Six Sigma. A data scientist without Process Mining training is ill-equipped to uncover the organization’s real processes, analyze compliance, diagnose bottlenecks and improve processes. The next generation of process analysts, managers and auditors will depend on this new technology!

Over 100.000 people have registered for earlier versions of the course in the last two years. Many participants of the “Process Mining: Data Science in Action” course got “hooked to the magic of analyzing event data”. Participants that completed the course learned to automatically discover real processes, check conformance, and analyze performance. Also the new course provides access to software and real-life data sets. Hence, there are many good reasons to join this new Process Mining course.

>> Register via http://www.coursera.org/learn/procmin/ <<<

On demand

Since April 2016 the course is running in on-demand mode on the Coursera platform. Through the on-demand mode you can always revisit the course to refresh your process mining knowledge. This allows you to take the course at any point in time. Moreover, we are able to create special instances of the course to support web lectures at universities (e.g., flipped classrooms) and for in-company training. If you are interested, send a CSV file with two columns (name and e-mail address) to j.c.a.m.buijs@tue.nl.

New book on Process Mining

We are also happy to announce the availability of the new process mining book “Process Mining: Data Science in Action” (written by Wil van der Aalst, see http://www.springer.com/gp/book/9783662498507). The updated version of the course that will go live on November 28 aligns well with the new book. Participants have free access to selected parts of the book. Moreover, Springer also kindly offers the participants of this MOOC a substantial discount on both the electronic and paper version of the new book.

Win a signed copy of the new book!

To celebrate the launch of the new book and updated course, we will select five students of the November 28 session that passed the honors track (e.g. made all week quizzes, final quiz, tool quiz and peer assignment) and will send them a free hard-copy of the book signed by the author.

The uptake of Process Mining

Since the first book on Process Mining in 2011, we have witnessed a rapidly growing interest in process mining. Today, Process Mining is the primary approach to make BPM truly data-driven. The attention for Big Data and the uptake of Data Science strengthen this development. Process Mining is where Data Science and Process Science meet! The growth on Process Mining has been accelerating during 2015 and 2016. Currently, there are about 25 software vendors offering process mining tools. Next to Disco (Fluxicon’s tool is used in the course next to the open-source tool ProM), tools like Celonis Process Mining, ProcessGold Enterprise Platform, Minit, myInvenio, Signavio Process Intelligence, QPR ProcessAnalyzer, LANA Process Mining, Rialto Process, Icris Process Mining Factory, Worksoft Analyze & Process Mining for SAP, SNP Business Process Analysis, webMethods Process Performance Manager, and Perceptive Process Mining are now available. The availability and application of these tools illustrate the uptake of Process Mining.

We are looking forward to see you, and your colleagues and friends, in the new Process Mining MOOC on Coursera. Visit http://www.coursera.org/learn/procmin/. Please help us to spread the message and let more people experience the amazing capabilities of Process Mining!

Hope to see you in our course,

Wil van der Aalst

Joos Buijs

and the rest of the process mining team

Are you aware that “Business Intelligence” and “(Advanced) Analytics” are actually completely different?

This should resolve the confusion for people who think that it´s actually the same, maybe because they are told so suggested by renaming of former “Business Intelligence” solutions, departments etc. to “Analytics”.

If one thinks that it´s just another name (“old wine in a new bottle”) he might not spend the time to find out that there is actually a difference and therefore he might not be aware of the new opportunities there are to innovate in his area and to really improve applications and solutions.

The information below is just a basic list of terminology to give you a quick start on this. Please be motivated to dig deeper.

“The analysis of all kinds of data using sophisticated quantitative methods (for example, statistics, descriptive and predictive data mining, simulation and optimization) to produce insights that traditional approaches to business intelligence (BI) – such as query and reporting – are unlikely to discover.”

(Gartner, Magic Quadrant for Advanced Analytics Platforms, Gareth Herschel | Alexander Linden | Lisa Kart, 19 February 2014)

https://rapidminer.com/resources/advanced-analytics-introduction/

Analytics / Advanced Analytics / Data Science / (Predictive Analytics)

Data Mining

Data mining (the analysis step of the “knowledge discovery in databases” process, or KDD), an interdisciplinary subfield of computer science is the computational process of discovering patterns in large data sets (“big data”) involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.

Machine Learning

Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions.

Predictive Modeling

Predictive modeling leverages statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place.

Business Intelligence / Management Information Systems

Business Reporting

Business reporting or enterprise reporting is “the public reporting of operating and financial data by a business enterprise,” or “the regular provision of information to decision-makers within an organization to support them in their work.” Reporting is a fundamental part of the larger movement towards improved business intelligence and knowledge management. Often implementation involves extract, transform, and load (ETL) procedures in coordination with a data warehouse and then using one or more reporting tools.

Dashboard

In management information systems, a dashboard is “an easy to read, often single page, real-time user interface, showing a graphical presentation of the current status (snapshot) and historical trends of an organization’s or computer appliances key performance indicators to enable instantaneous and informed decisions to be made at a glance.” In real-world terms, “dashboard” is another name for “progress report” or “report.” Often, the “dashboard” is displayed on a web page that is linked to a database which allows the report to be constantly updated.

Mashup

A mashup, in web development, is a web page, or web application, that uses content from more than one source to create a single new service displayed in a single graphical interface.

“Data Analytics & R” – Blog is setup and running. The link to the blog is
“http://advanceddataanalytics.net/ “.

For the name I decided to use “Data Analytics & R”, due to a community I am also running having the same title and because I will mainly talk about “Data Analytics” and: “R”, because R is a good choice to start and to get informed about the latest publications and to have a first look at the related algorithms and run them on your own data. You can treat “Data Analytics” as an abbreviation for “Data Science, Data Mining, Machine Learning, Statistical Learning, Statistics, Analytics Modeling, Business Analytics, Knowledge Discovery (KDD), Soft Computing, Data Aggregation, Econometrics, Visualization & related Programming“. This means: Everything needed to derive something out of your data, with whatever tool or programming language necessary or appropriate to achieve this.

Thank you WordPress,

Michael

P.S. Let me apologize here in the beginning for my english. It is not as good as it should be.