Principe, Jose C.

18 publications

ICLR 2024 Cauchy-Schwarz Divergence Information Bottleneck for Regression Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, Jose C Principe

NeurIPS 2024 Learning Cortico-Muscular Dependence Through Orthonormal Decomposition of Density Ratios Shihan Ma, Bo Hu, Tianyu Jia, Alexander Kenneth Clarke, Blanka Zicher, Arnault H. Caillet, Dario Farina, José C. Príncipe

AAAI 2023 Causal Recurrent Variational Autoencoder for Medical Time Series Generation Hongming Li, Shujian Yu, José C. Príncipe

JMLR 2023 Labels, Information, and Computation: Efficient Learning Using Sufficient Labels Shiyu Duan, Spencer Chang, Jose C. Principe

MLJ 2023 Multiscale Principle of Relevant Information for Hyperspectral Image Classification Yantao Wei, Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe

NeurIPSW 2022 Directed Information for Point Process Systems Shailaja Akella, Andre M Bastos, Jose C Principe

UAI 2022 Principle of Relevant Information for Graph Sparsification Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, Jose C. Principe

IJCAI 2021 Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe

AAAI 2021 Measuring Dependence with Matrix-Based Entropy Functional Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe

IJCAI 2020 Measuring the Discrepancy Between Conditional Distributions: Methods, Properties and Applications Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe

IJCAI 2018 Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels Shujian Yu, Xiaoyang Wang, José C. Príncipe

CVPR 2017 Group-Wise Point-Set Registration Based on Renyi's Second Order Entropy Luis G. Sanchez Giraldo, Erion Hasanbelliu, Murali Rao, Jose C. Principe

ICLR 2017 Perception Updating Networks: On Architectural Constraints for Interpretable Video Generative Models Eder Santana, José C. Príncipe

ICLR 2014 Rate-Distortion Auto-Encoders Luis Gonzalo Sánchez Giraldo, José C. Príncipe

ICLR 2013 Deep Predictive Coding Networks Rakesh Chalasani, José C. Príncipe

ICLR 2013 Information Theoretic Learning with Infinitely Divisible Kernels Luis Gonzalo Sánchez Giraldo, José C. Príncipe

NeurIPS 1994 Dynamic Modelling of Chaotic Time Series with Neural Networks Jose C. Principe, Jyh-Ming Kuo

NeurIPS 1993 Analysis of Short Term Memories for Neural Networks Jose C. Principe, Hui-H. Hsu, Jyh-Ming Kuo