Showing 1–20 of 73 results
/ Date/ Name
Sep 11, 2020Learning an Interpretable Graph Structure in Multi-Task LearningMay 31, 2022Principle of Relevant Information for Graph SparsificationJan 21, 2023The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision MakingOct 12, 2021Gated Information Bottleneck for Generalization in Sequential EnvironmentsOct 12, 2021Information Theoretic Structured Generative ModelingMay 5, 2020Measuring the Discrepancy between Conditional Distributions: Methods, Properties and ApplicationsNov 29, 2018Simple stopping criteria for information theoretic feature selectionJun 10, 2025InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation AnalysisAug 23, 2018Multivariate Extension of Matrix-based Renyi's α-order Entropy FunctionalJan 25, 2021Measuring Dependence with Matrix-based Entropy FunctionalFeb 7, 2025Deep Dynamic Probabilistic Canonical Correlation AnalysisDec 28, 2025Multimodal Functional Maximum Correlation for Emotion RecognitionJul 21, 2020Interpretable Fault Detection using Projections of Mutual Information MatrixJan 31, 2021Deep Deterministic Information Bottleneck with Matrix-based Entropy FunctionalMar 30, 2018Understanding Autoencoders with Information Theoretic ConceptsApr 18, 2018Understanding Convolutional Neural Networks with Information Theory: An Initial ExplorationApr 27, 2024Cauchy-Schwarz Divergence Information Bottleneck for RegressionApr 15, 2026Continual Learning for fMRI-Based Brain Disorder Diagnosis via Functional Connectivity Matrices Generative ReplayMay 12, 2020Modularizing Deep Learning via Pairwise Learning With KernelsNov 2, 2020Modular-Relatedness for Continual Learning