JP
Jose C. Principe
cs.LGAlgorithmsSignal Processing, Computer-Assistedstat.MLcs.ITmath.ITModels, Neurologicaleess.SPNeural Networks, ComputerUser-Computer Interface
On Valency
published · living versionsW_2zzu5g8t·v1 · currentpublished
Robust period estimation using mutual information for multi-band light curves in the synoptic survey era
with Pablo Huijse, Pablo A. Estevez, Francisco Forster, Scott F. Daniel +3
1 version
W_rck35dmm·v1published
Preprints & journals
282 papers in the corpus · 1986–2026Human-AI Cooperation in Healthcare and Rehabilitation.42163857 · Brockmeier, Austin, Artemiadis, Panagiotis, Boukari, Hacene et al.2026 · 0 citationsDelaware journal of public health. 2026;12(1):20-27
A Stable Neural Statistical Dependence Estimator for Autoencoder Feature Analysis2603.11428v2 · Bo Hu, Jose C Principe2026 · 0 citationsarXiv
Training sparse convolutional deep predictive coding networks with attention.41861778 · Li, Hongming, Ding, Chi, Príncipe, José C2026 · 0 citationsNeural networks : the official journal of the International Neural Network Society. 2026;200:108836
A generative spike prediction model using behavioral reinforcement for re-establishing neural functional connectivity.41482588 · Wu, Shenghui, Song, Zhiwei, Zhang, Xiang et al.2026 · 4 citationsNature computational science. 2026;6(2):179-192
Transregional Neural Prostheses: Applications and Computational Tools.42507556 · Wu, Shenghui, Principe, Jose C, Wang, Yiwen2026 · 0 citationsIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2026;34:3539-3555
Contrastive Entropy Bounds for Density and Conditional Density Decomposition2511.12903v1 · Bo Hu, Jose C. Principe2025 · 0 citationsarXiv
The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series Data and Sequential Decision Making.40100651 · Yu, Shujian, Li, Hongming, Lokse, Sigurd et al.2025 · 10 citationsIEEE transactions on pattern analysis and machine intelligence. 2025;47(7):5901-5917
Spectral Eigenfunction Decomposition for Kernel Adaptive Filtering2501.08989v1 · Kan Li, Jose C. Principe2025 · 0 citationsarXiv
ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy2412.03800v2 · Hongming Li, Zhao Yang, Xiaoxuan Liang et al.2024 · 0 citationsarXiv
Enhancing information extraction from field potentials in electrophysiology studies10.1101/2024.11.18.624059v1 · Akella, S., Principe, J.2024 · 0 citationsbioRxiv
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems2411.00198v1 · Kan Li, Jos'e C. Pr'incipe2024 · 0 citationsarXiv
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios2410.14697v2 · Shihan Ma, Bo Hu, Tianyu Jia et al.2024 · 1 citationarXiv
Value of Information in the Mean-Square Case and its Application to the Analysis of Financial Time-Series Forecast2410.01831v1 · Roman Belavkin, Panos Pardalos, Jose Principe2024 · 0 citationsLecture Notes in Computer Science, volume 13621, International Conference on Learning and Intelligent Optimization 2022
Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels2409.04945v1 · Wenqian Xue, Chi Ding, Jose Principe2024 · 1 citationarXiv
A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire Analog-to-Time Converter for Biological and Low-Frequency Signals - Comparison With Analog Version.38963739 · Teixeira, Miguel Lima, Oliveira, Joao P, Principe, Jose C et al.2024 · 2 citationsIEEE transactions on biomedical circuits and systems. 2024;18(4):861-871
IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction.38381633 · Yang, Jing, Chen, Yuehai, Du, Shaoyi et al.2024 · 62 citationsIEEE transactions on cybernetics. 2024;54(7):3904-3917
Cauchy-Schwarz Divergence Information Bottleneck for Regression2404.17951v1 · Shujian Yu, Xi Yu, Sigurd L\okse et al.2024 · 3 citationsarXiv
A Closed-Form Solution for Kernel Adaptive Filtering2402.03497v3 · Benjamin Colburn, Luis G. Sanchez Giraldo, Kan Li et al.2024 · 2 citationsarXiv
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery2401.11313v1 · Isaac J. Sledge, Dominic M. Byrne, Jonathan L. King et al.2024 · 0 citationsarXiv
An Alternate View on Optimal Filtering in an RKHS2312.12318v1 · Benjamin Colburn, Jose C. Principe, Luis G. Sanchez Giraldo2023 · 0 citationsarXiv
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations.34714752 · Sledge, Isaac J, Principe, Jose C2023 · 6 citationsIEEE transactions on neural networks and learning systems. 2023;34(8):5156-5170
Measurable fields-to-spike causality and its dependence on cortical layer and area.37577637 · Akella, Shailaja, Bastos, André M, Miller, Earl K et al.2024 · 3 citationsbioRxiv : the preprint server for biology. 2023
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks2307.15679v1 · Ran Dou, Jose Principe2023 · 1 citationarXiv
Universal Recurrent Event Memories for Streaming Data2307.15694v1 · Ran Dou, Jose Principe2023 · 0 citationsarXiv
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.37372243 · Wickstrøm, Kristoffer K, Løkse, Sigurd, Kampffmeyer, Michael C et al.2023 · 1 citationEntropy (Basel, Switzerland). 2023;25(6)
Feature Learning in Image Hierarchies using Functional Maximal Correlation2305.20074v1 · Bo Hu, Yuheng Bu, Jos'e C. Pr'incipe2023 · 0 citationsarXiv
Causal Recurrent Variational Autoencoder for Medical Time Series Generation2301.06574v1 · Hongming Li, Shujian Yu, Jose Principe2023 · 80 citationsarXiv
The Functional Wiener Filter2301.00291v1 · Benjamin Colburn, Luis G. Sanchez Giraldo, Jose C. Principe2022 · 0 citationsarXiv
Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning2212.11083v2 · Isaac J. Sledge, Jose C. Principe2022 · 2 citationsarXiv
The Normalized Cross Density Functional: A Framework to Quantify Statistical Dependence for Random Processes2212.04631v3 · Bo Hu, Jose C. Principe2022 · 2 citationsarXiv
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS2211.01999v1 · Rishabh Singh, Jose C. Principe2022 · 1 citationarXiv
Robust Dependence Measure using RKHS based Uncertainty Moments and Optimal Transport2211.02005v1 · Rishabh Singh, Jose C. Principe2022 · 0 citationsarXiv
Long-Term Postoperative Pain Prediction Using Higher-Order Singular Value Decomposition of Intraoperative Physiological Responses: Prospective Cohort Study.36103231 · Baharloo, Raheleh, Principe, Jose, Rashidi, Parisa et al.2026 · 0 citationsJMIR perioperative medicine. 2022;5(1):e37104
Extracting synchronized neuronal activity from local field potentials based on a marked point process framework.35921802 · Huang, Yifan, Zhang, Xiang, Shen, Xiang et al.2022 · 6 citationsJournal of neural engineering. 2022;19(4)
Principle of Relevant Information for Graph Sparsification2206.00118v1 · Shujian Yu, Francesco Alesiani, Wenzhe Yin et al.2022 · 4 citationsarXiv
Modularizing Deep Learning via Pairwise Learning With Kernels.33400656 · Duan, Shiyu, Yu, Shujian, Principe, Jose C2022 · 21 citationsIEEE transactions on neural networks and learning systems. 2022;33(4):1441-1451
A self-learning cognitive architecture exploiting causality from rewards.35339009 · Li, Hongming, Dou, Ran, Keil, Andreas et al.2022 · 6 citationsNeural networks : the official journal of the International Neural Network Society. 2022;150:274-292
Hierarchical Linear Dynamical System for Representing Notes from Recorded Audio2202.13255v1 · Leila Kalantari, Jose Principe, Kathryn E. Sieving2022 · 0 citationsarXiv
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing2202.02951v2 · Hongming Li, Shujian Yu, Jose C. Principe2022 · 12 citationsarXiv
Information Theoretic Structured Generative Modeling2110.05794v2 · Bo Hu, Shujian Yu, Jose C. Principe2021 · 0 citationsarXiv
Estimating Rényi's -Cross-Entropies in a Matrix-Based Way2109.11737v1 · Isaac J. Sledge, Jose C. Principe2021 · 0 citationsarXiv
A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS2109.10888v6 · Rishabh Singh, Jose C. Principe2021 · 2 citationsarXiv
Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge.34568811 · Li, Kan, Príncipe, José C2021 · 12 citationsFrontiers in artificial intelligence. 2021;4:568384
Analysis of Intra-Operative Physiological Responses Through Complex Higher-Order SVD for Long-Term Post-Operative Pain Prediction2109.00888v1 · Raheleh Baharloo, Jose C. Principe, Parisa Rashidi et al.2021 · 0 citationsarXiv
Uncertainty quantification for multiclass data description2108.12857v1 · Leila Kalantari, Jose Principe, Kathryn E. Sieving2021 · 0 citationsarXiv
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery2107.10504v1 · Isaac J. Sledge, Christopher D. Toole, Joseph A. Maestri et al.2021 · 1 citationarXiv
Slow Dynamics of Acute Postoperative Pain Intensity Time Series Determined via Wavelet Analysis Are Associated With the Risk of Severe Postoperative Day 30 Pain.33591118 · Baharloo, Raheleh, Principe, Jose C, Fillingim, Roger B et al.2021 · 6 citationsAnesthesia and analgesia. 2021;132(5):1465-1474
Unsupervised foveal vision neural architecture with top-down attention.33901879 · Burt, Ryan, Thigpen, Nina N, Keil, Andreas et al.2021 · 9 citationsNeural networks : the official journal of the International Neural Network Society. 2021;141:145-159
Labels, Information, and Computation: Efficient Learning Using Sufficient Labels2104.09015v3 · Shiyu Duan, Spencer Chang, Jose C. Principe2021 · 2 citationsarXiv
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models.33617742 · Singh, Rishabh, Principe, Jose C2021 · 3 citationsNeural computation. 2021;33(5):1164-1198
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