Principe, Jose C.
- Measures of Entropy from Data Using Infinitely Divisible Kernels
2012/11/11 by Luis G. Sanchez Giraldo, Murali Rao, Giraldo, Luis G. Sanchez +3 · 14 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.IT #cs.LG #math.IT #stat.ML
- Understanding Autoencoders with Information Theoretic Concepts
2018/03/30 by Shujian Yu, Yu, Shujian, José C. Prı́ncipe +1 · 4 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
- Measuring Dependence with Matrix-based Entropy Functional
2021/01/25 by Shujian Yu, Yu, Shujian, Francesco Alesiani +7 · 5 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
- Deep Predictive Coding Networks
2013/01/16 by Rakesh Chalasani, Chalasani, Rakesh, Jose C. Principe +1 · 2 citations
Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
- Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
2018/04/18 by Shujian Yu, Kristoffer Wickstrøm, Yu, Shujian +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
- Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional
2021/01/31 by Xi Yu, Shujian Yu, Yu, Xi +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)
- 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)
- Cauchy-Schwarz Divergence Information Bottleneck for Regression
2024/04/27 by Shujian Yu, Yu, Shujian, Xi Yu +7 · 4 citations
Computer Science · #Neural Networks and Applications
- Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient
2017/08/04 by Jianji Wang, Wang, Jianji, Nanning Zheng +5 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
- PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders
2020/07/13 by Yanjun Li, Li, Yanjun, Shujian Yu +7 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Unsupervised Foveal Vision Neural Networks with Top-Down Attention
2020/10/18 by Burt, Ryan, Thigpen, Nina N., Keil, Andreas +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods
2021/01/09 by Shiyu Duan, José C. Prı́ncipe, Duan, Shiyu +1 · 1 citation
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
- Labels, Information, and Computation: Efficient Learning Using Sufficient Labels
2021/04/19 by Shiyu Duan, Spencer Chang, Duan, Shiyu +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing
2022/02/07 by Hongming Li, Li, Hongming, Shujian Yu +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
- 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
- ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy
2024/12/05 by Hongming Li, Li, Hongming, Shujian Yu +6 · 1 voice · 1 citation
Computer Science · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #cs.AI #cs.LG