Functional Feature Selection by Weighted Projections in Pathological Voice Detection. - Luis Gonzalo Sánchez Giraldo; Fernando Martínez Tabares; Germán Castellanos-Domínguez (CIARP, 2009)

A Recursive Online Kernel PCA Algorithm. - Erion Hasanbelliu; Luis Gonzalo Sánchez Giraldo; José C. Príncipe (ICPR, 2010)

Weighted feature extraction with a functional data extension. - Luis Gonzalo Sánchez Giraldo; Germán Castellanos-Domínguez (Neurocomputing, 2010)

An efficient rank-deficient computation of the Principle of Relevant Information. - Luis Gonzalo Sánchez Giraldo; José Carlos Príncipe (ICASSP, 2011)

Stochastic kernel temporal difference for reinforcement learning. - Jihye Bae; Luis G. Sánchez Giraldo; Pratik Chhatbar; Joseph T. Francis; Justin C. Sanchez; José C. Príncipe (MLSP, 2011)

A reproducing kernel Hilbert space formulation of the principle of relevant information. - Luis G. Sánchez Giraldo; José C. Príncipe (MLSP, 2011)

A robust point matching algorithm for non-rigid registration using the Cauchy-Schwarz divergence. - Erion Hasanbelliu; Luis Gonzalo Sánchez Giraldo; José C. Príncipe (MLSP, 2011)

A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces. - Jihye Bae; Luis Gonzalo Sánchez Giraldo; Eric A. Pohlmeyer; Justin C. Sanchez; José C. Príncipe (EMBC, 2013)

Information-theoretic metric learning: 2-D linear projections of neural data for visualization. - Austin J. Brockmeier; Luis Gonzalo Sánchez Giraldo; Matthew S. Emigh; Jihye Bae; John S. Choi; Joseph T. Francis; José C. Príncipe (EMBC, 2013)

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

Projentropy: Using entropy to optimize spatial projections. - Austin J. Brockmeier; Eder Santana; Luis Gonzalo Sánchez Giraldo; José C. Príncipe (ICASSP, 2014)

Correntropy kernel temporal differences for reinforcement learning brain machine interfaces. - Jihye Bae; Luis G. Sánchez Giraldo; José C. Príncipe; Joseph T. Francis (IJCNN, 2014)

Rate-Distortion Auto-Encoders. - Luis Gonzalo Sánchez Giraldo; José C. Príncipe (ICLR (Workshop Poster), 2014)

Information Theoretic Shape Matching. - Erion Hasanbelliu; Luis Gonzalo Sánchez Giraldo; José Carlos Príncipe (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Kernel Temporal Differences for Neural Decoding. - Jihye Bae; Luis G. Sánchez Giraldo; Eric A. Pohlmeyer; Joseph T. Francis; Justin C. Sanchez; José C. Príncipe (Comput. Intell. Neurosci., 2015)

Measures of Entropy From Data Using Infinitely Divisible Kernels. - Luis Gonzalo Sánchez Giraldo; Murali Rao; José C. Príncipe (IEEE Trans. Inf. Theory, 2015)

Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy. - Luis Gonzalo Sánchez Giraldo; Erion Hasanbelliu; Murali Rao; José C. Príncipe (CVPR, 2017)

Integrating Flexible Normalization into Mid-Level Representations of Deep Convolutional Neural Networks. - Luis Gonzalo Sánchez Giraldo; Odelia Schwartz (CoRR, 2018)

Correspondence of Deep Neural Networks and the Brain for Visual Textures. - Md Nasir Uddin Laskar; Luis G. Sánchez Giraldo; Odelia Schwartz (CoRR, 2018)

Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional. - Shujian Yu; Luis Gonzalo Sánchez Giraldo; Robert Jenssen; José C. Príncipe (CoRR, 2018)

A stable hybrid method for feature subset selection using particle swarm optimization with local search. - Hassen Dhrif; Luis G. Sánchez Giraldo; Miroslav Kubat; Stefan Wuchty (GECCO, 2019)

A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data. - Hassen Dhrif; Luis G. Sánchez Giraldo; Miroslav Kubat; Stefan Wuchty (CoRR, 2019)

Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks. - Luis Gonzalo Sánchez Giraldo; Odelia Schwartz (Neural Comput., 2019)

Multivariate Extension of Matrix-Based Rényi's $ alpha$α-Order Entropy Functional. - Shujian Yu; Luis Gonzalo Sánchez Giraldo; Robert Jenssen; José C. Príncipe (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

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

Inference via Sparse Coding in a Hierarchical Vision Model. - Joshua Bowren; Luis G. Sánchez Giraldo; Odelia Schwartz (CoRR, 2021)

The Representation Jensen-Rényi Divergence. - Jhoan Keider Hoyos-Osorio; Oscar Skean; Austin J. Brockmeier; Luis Gonzalo Sánchez Giraldo (ICASSP, 2022)

Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling. - Sania Eskandari; Janet Lumpp; Luis G. Sánchez Giraldo (MLMI@MICCAI (1), 2023)

Non-uniform Sampling-Based Breast Cancer Classification. - Santiago Posso Murillo; Oscar Skean; Luis G. Sánchez Giraldo (MLMI@MICCAI (2), 2023)

DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies. - Oscar Skean; Jhoan Keider Hoyos-Osorio; Austin J. Brockmeier; Luis Gonzalo Sánchez Giraldo (CoRR, 2023)

The Representation Jensen-Shannon Divergence. - Jhoan Keider Hoyos-Osorio; Luis G. Sánchez Giraldo (CoRR, 2023)

FroSSL: Frobenius Norm Minimization for Self-Supervised Learning. - Oscar Skean; Aayush Dhakal; Nathan Jacobs; Luis Gonzalo Sánchez Giraldo (CoRR, 2023)

An Alternate View on Optimal Filtering in an RKHS. - Benjamin Colburn; José C. Príncipe; Luis Gonzalo Sánchez Giraldo (CoRR, 2023)

Multiscale principle of relevant information for hyperspectral image classification. - Yantao Wei; Shujian Yu; Luis G. Sánchez Giraldo; José C. Príncipe (Mach. Learn., 2023)

FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning. - Oscar Skean; Aayush Dhakal; Nathan Jacobs; Luis Gonzalo Sánchez Giraldo (ECCV (89), 2024)

Semantic Reconstruction from Fnirs Using Recurrent Neural Networks. - Santiago Posso Murillo; Luis G. Sánchez Giraldo; Jihye Bae (ISBI, 2025)