Measures of Entropy from Data Using Infinitely Divisible Kernels LG Sanchez Giraldo, M Rao, JC Principe Transactions on Information Theory 61 (1), 535-548, 2015 | 134* | 2015 |
Multivariate Extension of Matrix-based Renyi's {\alpha}-order Entropy Functional S Yu, LG Sanchez Giraldo, R Jenssen, JC Principe arXiv preprint arXiv:1808.07912, 2018 | 94* | 2018 |
Information theoretic shape matching E Hasanbelliu, L Sanchez Giraldo, JC Principe IEEE transactions on pattern analysis and machine intelligence 36 (12), 2436 …, 2014 | 69 | 2014 |
Stimulus-and goal-oriented frameworks for understanding natural vision MH Turner, LG Sanchez Giraldo, O Schwartz, F Rieke Nature neuroscience, 2018 | 64 | 2018 |
Information theoretic learning with infinitely divisible kernels LG Sanchez Giraldo, JC Principe ICLR 2013, 2013 | 31* | 2013 |
Correspondence of deep neural networks and the brain for visual textures MNU Laskar, LG Sanchez Giraldo, O Schwartz | 27 | 2018 |
Acoustic speech analysis for hypernasality detection in children G Castellanos, G Daza, L Sánchez, O Castrillón, J Suárez 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 24 | 2006 |
Introduction to Kernel PCA and other Spectral Methods Applied to Unsupervised Learning LG Sánchez, GA Osorio, JF Suárez Revista Colombiana de Estadística 31 (1), 19-40, 2008 | 21* | 2008 |
Normalization and pooling in hierarchical models of natural images LG Sanchez-Giraldo, MNU Laskar, O Schwartz Current opinion in neurobiology 55, 65-72, 2019 | 19 | 2019 |
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities. S Yu, LGS Giraldo, JC Príncipe IJCAI, 4669-4678, 2021 | 18 | 2021 |
Deep neural networks capture texture sensitivity in V2 MNU Laskar, LGS Giraldo, O Schwartz Journal of Vision 20 (7), 21-1, 2020 | 18 | 2020 |
Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks LG Sánchez Giraldo, O Schwartz Neural computation 31 (11), 2138-2176, 2019 | 18 | 2019 |
Information-theoretic metric learning: 2-D linear projections of neural data for visualization AJ Brockmeier, LG Sanchez Giraldo, MS Emigh, J Bae, JS Choi, ... Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual …, 2013 | 18 | 2013 |
A robust point matching algorithm for non-rigid registration using the cauchy-schwarz divergence E Hasanbelliu, L Sanchez Giraldo, JC Príncipe Machine Learning for Signal Processing (MLSP), 2011 IEEE International …, 2011 | 18 | 2011 |
Rate-distortion auto-encoders LG Sanchez Giraldo, JC Principe arXiv preprint arXiv:1312.7381, 2013 | 17 | 2013 |
Selección de características orientada a sistemas de reconocimiento de granos maduros de café. GD Santacoloma, JFS Cifuentes, LG Sánchez Scientia et technica 3 (35), 139-144, 2007 | 17 | 2007 |
Feature selection in pathology detection using hybrid multidimensional analysis G Castellanos, E Delgado, G Daza, LG Sanchez, JF Suarez 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 15 | 2006 |
Stochastic kernel temporal difference for reinforcement learning J Bae, L Sanchez Giraldo, P Chhatbar, J Francis, J Sanchez, J Principe Machine Learning for Signal Processing (MLSP), 2011 IEEE International …, 2011 | 14 | 2011 |
Kernel temporal differences for neural decoding J Bae, LG Sanchez Giraldo, EA Pohlmeyer, JT Francis, JC Sanchez, ... Computational intelligence and neuroscience 2015, 25, 2015 | 13 | 2015 |
Weighted feature extraction with a functional data extension LG Sánchez Giraldo, GC Domínguez Neurocomputing 73 (10-12), 1760-1773, 2010 | 13 | 2010 |