José C. Príncipe

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 221

Top Venues

CoRR

IJCNN

ICASSP

IEEE Trans. Neural Networks Learn. Syst.

Publications

Isaac J. Sledge, Dominic M. Byrne, Jonathan L. King, Steven H. Ostertag, Denton L. Woods, James L. Prater, Jermaine L. Kennedy, Timothy M. Marston, José C. Príncipe
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery. CoRR (2024)
Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
Cauchy-Schwarz Divergence Information Bottleneck for Regression. ICLR (2024)
Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
Cauchy-Schwarz Divergence Information Bottleneck for Regression. CoRR (2024)
Jing Yang, Yuehai Chen, Shaoyi Du, Badong Chen, José C. Príncipe
IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction. IEEE Trans. Cybern. 54 (7) (2024)
Nan Liu, Badong Chen, José C. Príncipe
Special issue on smart healthcare: artificial intelligence in biomedicine. J. Ambient Intell. Humaniz. Comput. 14 (11) (2023)
Benjamin Colburn, José C. Príncipe, Luis Gonzalo Sánchez Giraldo
An Alternate View on Optimal Filtering in an RKHS. CoRR (2023)
Bo Hu, José C. Príncipe
Cross Density Kernel for Nonstationary Signal Processing. SSP (2023)
Ran Dou, José C. Príncipe
Universal Recurrent Event Memories for Streaming Data. CoRR (2023)
Ran Dou, José C. Príncipe
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. IJCNN (2023)
Yao Sun, Bo Hu, José C. Príncipe
The Kernel Maximal Correlation Filter. MLSP (2023)
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making. CoRR (2023)
Ran Dou, José C. Príncipe
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. CoRR (2023)
Miguel Lima Teixeira, João P. Oliveira, José C. Príncipe, João Goes
A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire ATC for Biological and Low-Frequency Signals. BioCAS (2023)
Hongming Li, Shujian Yu, José C. Príncipe
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. AAAI (2023)
Kristoffer K. Wickstrøm, Sigurd Løkse, Michael C. Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy. Entropy 25 (6) (2023)
Bo Hu, Yuheng Bu, José C. Príncipe
Feature Learning in Image Hierarchies using Functional Maximal Correlation. CoRR (2023)
Hongming Li, Shujian Yu, José C. Príncipe
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. CoRR (2023)
Yantao Wei, Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe
Multiscale principle of relevant information for hyperspectral image classification. Mach. Learn. 112 (4) (2023)
Ran Dou, José C. Príncipe
Universal Recurrent Event Memories for Streaming Data. IJCNN (2023)
Shiyu Duan, Spencer Chang, José C. Príncipe
Labels, Information, and Computation: Efficient Learning Using Sufficient Labels. J. Mach. Learn. Res. 24 (2023)
Isaac J. Sledge, José C. Príncipe
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Rishabh Singh, José C. Príncipe
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS. CoRR (2022)
Hongming Li, Ran Dou, Andreas Keil, José C. Príncipe
A self-learning cognitive architecture exploiting causality from rewards. Neural Networks 150 (2022)
Spencer Chang, José C. Príncipe
Explaining Deep and ResNet Architecture Choices with Information Flow. IJCNN (2022)
Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6 (5) (2022)
Isaac J. Sledge, José C. Príncipe
Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning. CoRR (2022)
Ran Dou, José C. Príncipe
The Extended Kernel Adaptive Autoregressive-Moving-Average Algorithm. IJCNN (2022)
Hongming Li, Shujian Yu, José C. Príncipe
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. ICASSP (2022)
Bo Hu, José C. Príncipe
The Cross Density Kernel Function: A Novel Framework to Quantify Statistical Dependence for Random Processes. CoRR (2022)
Shiyu Duan, Shujian Yu, José C. Príncipe
Modularizing Deep Learning via Pairwise Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Kan Li, José C. Príncipe
Functional Bayesian Filter. IEEE Trans. Signal Process. 70 (2022)
Pingping Zhu, José C. Príncipe
Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method. IJCNN (2022)
Shiyu Duan, José C. Príncipe
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods. IEEE Comput. Intell. Mag. 17 (4) (2022)
Roman V. Belavkin, Panos M. Pardalos, José C. Príncipe
Value of Information in the Mean-Square Case and Its Application to the Analysis of Financial Time-Series Forecast. LION (2022)
Rishabh Singh, José C. Príncipe
Robust Dependence Measure using RKHS based Uncertainty Moments and Optimal Transport. CoRR (2022)
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
Principle of relevant information for graph sparsification. UAI (2022)
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
Principle of Relevant Information for Graph Sparsification. CoRR (2022)
Shiyu Duan, José C. Príncipe
Labels, Information, and Computation: Efficient, Privacy-Preserving Learning Using Sufficient Labels. CoRR (2021)
Shailaja Akella, Ali Mohebi, Kierstin Riels, Andreas Keil, Karim G. Oweiss, José C. Príncipe
Local power estimation of neuromodulations using point process modeling. NER (2021)
Bo Hu, Shujian Yu, José C. Príncipe
Information Theoretic Structured Generative Modeling. CoRR (2021)
Xi Yu, Shujian Yu, José C. Príncipe
Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional. ICASSP (2021)
Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, José C. Príncipe
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Badong Chen, Lei Xing, Haiquan Zhao, Shaoyi Du, José C. Príncipe
Effects of Outliers on the Maximum Correntropy Estimation: A Robustness Analysis. IEEE Trans. Syst. Man Cybern. Syst. 51 (6) (2021)
Yiwen Wang, José C. Príncipe
Reinforcement Learning in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain?Machine Interface Adaptation. IEEE Signal Process. Mag. 38 (4) (2021)
Rishabh Singh, José C. Príncipe
A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts. CoRR (2021)
Rishabh Singh, José C. Príncipe
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models. Neural Comput. 33 (5) (2021)
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
Measuring Dependence with Matrix-based Entropy Functional. AAAI (2021)
Kan Li, José C. Príncipe
Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge. Frontiers Artif. Intell. 4 (2021)
Xi Yu, Shujian Yu, José C. Príncipe
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional. CoRR (2021)
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
Measuring Dependence with Matrix-based Entropy Functional. CoRR (2021)
Isaac J. Sledge, José C. Príncipe
An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains. CoRR (2021)
Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe
Unsupervised foveal vision neural architecture with top-down attention. Neural Networks 141 (2021)
Jianji Wang, Pei Chen, Nanning Zheng, Badong Chen, José C. Príncipe, Fei-Yue Wang
Associations between MSE and SSIM as cost functions in linear decomposition with application to bit allocation for sparse coding. Neurocomputing 422 (2021)
Shiyu Duan, José C. Príncipe
Training Deep Architectures Without End-to-End Backpropagation: A Brief Survey. CoRR (2021)
Isaac J. Sledge, José C. Príncipe
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. CoRR (2021)
Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe
Interpretable fault detection using projections of mutual information matrix. J. Frankl. Inst. 358 (7) (2021)
Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. CoRR (2021)
Isaac J. Sledge, Christopher D. Toole, Joseph A. Maestri, José C. Príncipe
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery. CoRR (2021)
Hongming Li, José C. Príncipe
Speeding Up Reinforcement Learning by Exploiting Causality in Reward Sequences. IJCNN (2021)
Bo Hu, José C. Príncipe
MIMO Modeling by Learning Explicitly the Projection Space: The Maximum Correlation Ratio Cost Function. IEEE Trans. Signal Process. 69 (2021)
Isaac J. Sledge, José C. Príncipe
Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way. CoRR (2021)
Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, José C. Príncipe
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders. CoRR (2021)
Bo Hu, José C. Príncipe
Training a Bank of Wiener Models with a Novel Quadratic Mutual Information Cost Function. ICASSP (2021)
Rishabh Singh, José C. Príncipe
Quantifying Model Predictive Uncertainty with Perturbation Theory. CoRR (2021)
Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe
Minimum Error Entropy Kalman Filter. IEEE Trans. Syst. Man Cybern. Syst. 51 (9) (2021)
Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities. IJCAI (2021)
Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe
Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional. IEEE Trans. Pattern Anal. Mach. Intell. 42 (11) (2020)
Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe
Unsupervised Foveal Vision Neural Networks with Top-Down Attention. CoRR (2020)
José C. Príncipe
A Cognitive Architecture for Object Recognition in Video. ICMLA (2020)
Rishabh Singh, Shujian Yu, José C. Príncipe
Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System. ICASSP (2020)
Hongming Li, Ying Ma, José C. Príncipe
Cognitive Architecture for Video Games. IJCNN (2020)
Jianyi Liu, José C. Príncipe, Arash Andalib
Fast spatio-temporal decorrelation using FIR filter network with decoupled adaptive step sizes. Digit. Signal Process. 96 (2020)
Isaac J. Sledge, José C. Príncipe
An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based Observations. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe
Mutual Information Matrix for Interpretable Fault Detection. CoRR (2020)
Gabriel Nallathambi, José C. Príncipe
Theory and Algorithms for Pulse Signal Processing. IEEE Trans. Circuits Syst. I Regul. Pap. (8) (2020)
Rishabh Singh, José C. Príncipe
Towards a Kernel based Physical Interpretation of Model Uncertainty. CoRR (2020)
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. IJCAI (2020)
Zhengda Qin, Badong Chen, Yuantao Gu, Nanning Zheng, José C. Príncipe
Probability Density Rank-Based Quantization for Convex Universal Learning Machines. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Yanjun Li, Shujian Yu, José C. Príncipe, Xiaolin Li, Dapeng Oliver Wu
PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders. CoRR (2020)
Ying Ma, Joseph Brooks, Hongming Li, José C. Príncipe
Procedural Memory Augmented Deep Reinforcement Learning. IEEE Trans. Artif. Intell. 1 (2) (2020)
Shiyu Duan, Shujian Yu, Yunmei Chen, José C. Príncipe
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation. Neural Comput. 32 (1) (2020)
Kan Li, José C. Príncipe
Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces. CoRR (2020)
Ying Ma, José C. Príncipe
A Taxonomy for Neural Memory Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Isaac J. Sledge, José C. Príncipe
Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information. IJCNN (2020)
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. CoRR (2020)
Shiyu Duan, Shujian Yu, José C. Príncipe
Modularizing Deep Learning via Pairwise Learning With Kernels. CoRR (2020)
José C. Príncipe
IEEE Fellows?Class of 2020 [Society Briefs]. IEEE Comput. Intell. Mag. 15 (2) (2020)
Rishabh Singh, José C. Príncipe
Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework. UAI (2020)
Zhengda Qin, Badong Chen, Nanning Zheng, José C. Príncipe
Augmented Space Linear Models. IEEE Trans. Signal Process. 68 (2020)
Isaac J. Sledge, José C. Príncipe
An Information-theoretic Approach for Automatically Determining the Number of State Groups When Aggregating Markov Chains. ICASSP (2019)
Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe
Minimum Error Entropy Kalman Filter. CoRR (2019)
Eleni I. Georga, José C. Príncipe, Dimitrios I. Fotiadis
Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters. Medical Biol. Eng. Comput. 57 (1) (2019)
Isaac J. Sledge, José C. Príncipe
Reduction of Markov Chains Using a Value-of-Information-Based Approach. Entropy 21 (4) (2019)
Isaac John Sledge, José C. Príncipe
Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based Policies. IEEE Trans. Games 11 (2) (2019)
Badong Chen, Xin Wang, Yingsong Li, José C. Príncipe
Maximum Correntropy Criterion With Variable Center. IEEE Signal Process. Lett. 26 (8) (2019)
Yantao Wei, Shujian Yu, José C. Príncipe
Multiscale Principle of Relevant Information for Hyperspectral Image Classification. CoRR (2019)
Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Yantao Wei, José C. Príncipe
Concept drift detection and adaptation with hierarchical hypothesis testing. J. Frankl. Inst. 356 (5) (2019)
Lujuan Dang, Badong Chen, Shiyuan Wang, Yuantao Gu, José C. Príncipe
Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion. IEEE Trans. Circuits Syst. I Regul. Pap. (11) (2019)
Shujian Yu, José C. Príncipe
Understanding autoencoders with information theoretic concepts. Neural Networks 117 (2019)
Isaac J. Sledge, José C. Príncipe
An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations. CoRR (2019)

José C. Príncipe.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

José C. Príncipe