Shujian Yu

Entropy, June, 2023

Multiscale principle of relevant information for hyperspectral image classification.

[BibT_eX]

[DOI]

Yantao Wei

Luis G. Sánchez Giraldo

Mach. Learn., April, 2023

Gated information bottleneck for generalization in sequential environments.

[BibT_eX]

[DOI]

Francesco Alesiani

Xi Yu

Knowl. Inf. Syst., February, 2023

MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2023

Continual Invariant Risk Minimization.

[BibT_eX]

[DOI]

Francesco Alesiani

Mathias Niepert

CoRR, 2023

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making.

[BibT_eX]

[DOI]

CoRR, 2023

CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis.

[BibT_eX]

[DOI]

Kaizhong Zheng

CoRR, 2023

Identification of Predictive Subnetwork for Brain Network-Based Psychiatric Diagnosis: An Information-Theoretic Perspective.

[BibT_eX]

[DOI]

Kaizhong Zheng

Proceedings of the IEEE International Conference on Acoustics, 2023

Sequential Invariant Information Bottleneck.

[BibT_eX]

[DOI]

Yichen Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

Towards a More Stable and General Subgraph Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Higher-Order Organization in the Human Brain From Matrix-Based Rényi's Entropy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study.

[BibT_eX]

[DOI]

Luis Pedro Silvestrin

Mark Hoogendoorn

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Causal Recurrent Variational Autoencoder for Medical Time Series Generation.

[BibT_eX]

[DOI]

Hongming Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Robust and Fast Measure of Information via Low-Rank Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Functional Connectome of the Human Brain with Total Correlation.

[BibT_eX]

[DOI]

Entropy, December, 2022

Computationally Efficient Approximations for Matrix-Based Rényi's Entropy.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Modularizing Deep Learning via Pairwise Learning With Kernels.

[BibT_eX]

[DOI]

Shiyu Duan

IEEE Trans. Neural Networks Learn. Syst., 2022

Causality detection with matrix-based transfer entropy.

[BibT_eX]

[DOI]

Wanqi Zhou

Inf. Sci., 2022

Robust and Fast Measure of Information via Low-rank Representation.

[BibT_eX]

[DOI]

CoRR, 2022

Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval.

[BibT_eX]

[DOI]

CoRR, 2022

BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck.

[BibT_eX]

[DOI]

CoRR, 2022

R2-Trans: Fine-Grained Visual Categorization with Redundancy Reduction.

[BibT_eX]

[DOI]

CoRR, 2022

Principle of relevant information for graph sparsification.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Modular-Relatedness for Continual Learning.

[BibT_eX]

[DOI]

Ammar Shaker

Francesco Alesiani

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Multi-View Information Bottleneck Without Variational Approximation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

Hongming Li

Proceedings of the IEEE International Conference on Acoustics, 2022

Learning to Transfer with von Neumann Conditional Divergence.

[BibT_eX]

[DOI]

Ammar Shaker

Daniel Oñoro-Rubio

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Interpretable fault detection using projections of mutual information matrix.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2021

Computationally Efficient Approximations for Matrix-based Renyi's Entropy.

[BibT_eX]

[DOI]

CoRR, 2021

Information Theoretic Structured Generative Modeling.

[BibT_eX]

[DOI]

Bo Hu

CoRR, 2021

Learning to Transfer with von Neumann Conditional Divergence.

[BibT_eX]

[DOI]

Ammar Shaker

CoRR, 2021

Bilevel Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities.

[BibT_eX]

[DOI]

Luis G. Sánchez Giraldo

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional.

[BibT_eX]

[DOI]

Xi Yu

Proceedings of the IEEE International Conference on Acoustics, 2021

Measuring Dependence with Matrix-based Entropy Functional.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multiview Hybrid Embedding: A Divide-and-Conquer Approach.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional.

[BibT_eX]

[DOI]

Luis Gonzalo Sánchez Giraldo

IEEE Trans. Pattern Anal. Mach. Intell., 2020

On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation.

[BibT_eX]

[DOI]

Neural Comput., 2020

Coarse-to-fine salient object detection with low-rank matrix recovery.

[BibT_eX]

[DOI]

Qi Zheng

Xinge You

Neurocomputing, 2020

Learning an Interpretable Graph Structure in Multi-Task Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Mutual Information Matrix for Interpretable Fault Detection.

[BibT_eX]

[DOI]

CoRR, 2020

PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Interpretable Multi-task Learning Using Bilevel Programming.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Online Meta-Forest for Regression Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System.

[BibT_eX]

[DOI]

Rishabh Singh

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Robust Visual Tracking Using Multi-Frame Multi-Feature Joint Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2019

Understanding autoencoders with information theoretic concepts.

[BibT_eX]

[DOI]

Neural Networks, 2019

Concept drift detection and adaptation with hierarchical hypothesis testing.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2019

Simple Stopping Criteria for Information Theoretic Feature Selection.

[BibT_eX]

[DOI]

Entropy, 2019

Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels.

[BibT_eX]

[DOI]

CoRR, 2019

Multiscale Principle of Relevant Information for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Yantao Wei

CoRR, 2019

Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Data Encryption Transmission and Authentication Scheme Based on Blockchain Technology.

[BibT_eX]

[DOI]

Proceedings of the Data Processing Techniques and Applications for Cyber-Physical Systems, 2019

2018

Multi-view manifold learning with locality alignment.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional.

[BibT_eX]

[DOI]

Luis Gonzalo Sánchez Giraldo

CoRR, 2018

Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-view Hybrid Embedding: A Divide-and-Conquer Approach.

[BibT_eX]

[DOI]

CoRR, 2018

Understanding Convolutional Neural Network Training with Information Theory.

[BibT_eX]

[DOI]

CoRR, 2018

Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels.

[BibT_eX]

[DOI]

Xiaoyang Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Joint Image Segmentation and Classification with Application to Cluttered Coral Images.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing.

[BibT_eX]

[DOI]

CoRR, 2017

Marine Animal Classification with Correntropy Loss Based Multi-view Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Concept Drift Detection with Hierarchical Hypothesis Testing.

[BibT_eX]

[DOI]

Zubin Abraham

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Robust linear discriminant analysis with a Laplacian assumption on projection distribution.

[BibT_eX]

[DOI]