Luis Gonzalo Sánchez Giraldo

Orcid: 0000-0001-8984-9841

According to our database1, Luis Gonzalo Sánchez Giraldo authored at least 35 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Multiscale principle of relevant information for hyperspectral image classification.
Mach. Learn., April, 2023

An Alternate View on Optimal Filtering in an RKHS.
CoRR, 2023

FroSSL: Frobenius Norm Minimization for Self-Supervised Learning.
CoRR, 2023

The Representation Jensen-Shannon Divergence.
CoRR, 2023

DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies.
CoRR, 2023

Non-uniform Sampling-Based Breast Cancer Classification.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022
The Representation Jensen-Rényi Divergence.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Inference via Sparse Coding in a Hierarchical Vision Model.
CoRR, 2021

Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019
Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks.
Neural Comput., 2019

A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data.
CoRR, 2019

A stable hybrid method for feature subset selection using particle swarm optimization with local search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional.
CoRR, 2018

Correspondence of Deep Neural Networks and the Brain for Visual Textures.
CoRR, 2018

Integrating Flexible Normalization into Mid-Level Representations of Deep Convolutional Neural Networks.
CoRR, 2018

2017
Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Measures of Entropy From Data Using Infinitely Divisible Kernels.
IEEE Trans. Inf. Theory, 2015

Kernel Temporal Differences for Neural Decoding.
Comput. Intell. Neurosci., 2015

2014
Information Theoretic Shape Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Rate-Distortion Auto-Encoders.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Correntropy kernel temporal differences for reinforcement learning brain machine interfaces.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Projentropy: Using entropy to optimize spatial projections.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Information Theoretic Learning with Infinitely Divisible Kernels
Proceedings of the 1st International Conference on Learning Representations, 2013

Information-theoretic metric learning: 2-D linear projections of neural data for visualization.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011
A robust point matching algorithm for non-rigid registration using the Cauchy-Schwarz divergence.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

A reproducing kernel Hilbert space formulation of the principle of relevant information.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Stochastic kernel temporal difference for reinforcement learning.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

An efficient rank-deficient computation of the Principle of Relevant Information.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Weighted feature extraction with a functional data extension.
Neurocomputing, 2010

A Recursive Online Kernel PCA Algorithm.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Functional Feature Selection by Weighted Projections in Pathological Voice Detection.
Proceedings of the Progress in Pattern Recognition, 2009


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