José C. Prı́ncipe

1. Causal Recurrent Variational Autoencoder for Medical Time Series Generation
   2023/01/16 by Hongming Li, Li, Hongming, Shujian Yu +3 · 11 citations
   Computer Science · Neuroscience · #Machine Learning in Healthcare #Functional Brain Connectivity Studies #Time Series Analysis and Forecasting
2. Minimum Error Entropy Kalman Filter
   2019/04/14 by Badong Chen, Chen, Badong, Lujuan Dang +7 · 4 citations
   Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Neural Networks and Applications #Systems and Control (eess.SY) #Target Tracking and Data Fusion in Sensor Networks #electronic engineering #information engineering
3. Measuring Dependence with Matrix-based Entropy Functional
   2021/01/25 by Shujian Yu, Yu, Shujian, Francesco Alesiani +7 · 4 citations
   Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Mechanics and Entropy #Statistical Methods and Inference
4. Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
   2018/04/18 by Shujian Yu, Yu, Shujian, Kristoffer Wickstrøm +5 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Mechanics and Entropy
5. Quantized Minimum Error Entropy Criterion
   2017/10/11 by Badong Chen, Lei Xing, Chen, Badong +5 · 2 citations
   Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
6. Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional
   2021/01/31 by Xi Yu, Yu, Xi, Shujian Yu +3 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
7. The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
   2023/01/21 by Shujian Yu, Yu, Shujian, Hongming Li +7 · 4 citations
   Physics and Astronomy · Decision Sciences · Computer Science · #Statistical Mechanics and Entropy #Forecasting Techniques and Applications #Bayesian Modeling and Causal Inference
8. Understanding Autoencoders with Information Theoretic Concepts
   2018/03/30 by Shujian Yu, José C. Prı́ncipe, Yu, Shujian +1 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Mechanics and Entropy #stochastic dynamics and bifurcation
9. Principle of Relevant Information for Graph Sparsification
   2022/05/31 by Shujian Yu, Francesco Alesiani, Yu, Shujian +7 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
10. Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain–Machine Interfaces
    2015/11/13 by Yiwen Wang, Xiwei Shé, Xiwei She +7 · 2 citations
    Neuroscience · #EEG and Brain-Computer Interfaces #Neuroscience and Neural Engineering #Neural dynamics and brain function
11. Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing
    2022/02/07 by Hongming Li, Shujian Yu, Li, Hongming +3 · 1 citation
    Engineering · Biochemistry, Genetics and Molecular Biology · Chemistry · #Remote-Sensing Image Classification #Spectroscopy Techniques in Biomedical and Chemical Research #Spectroscopy and Chemometric Analyses
12. Cauchy-Schwarz Divergence Information Bottleneck for Regression
    2024/04/27 by Shujian Yu, Xi Yu, Yu, Shujian +7 · 2 citations
    Computer Science · #Neural Networks and Applications
13. Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios
    2024/10/04 by Shihan Ma, Ma, Shihan, Bo Hu +13 · 2 citations
    Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering