Pre-prints
- Skean, Oscar, et al. "FroSSL: Frobenius Norm Minimization for Self-Supervised Learning." arXiv preprint arXiv:2310.02903 (2023).
- Skean, Oscar, et al. "Dime: Maximizing mutual information by a difference of matrix-based entropies." arXiv preprint arXiv:2301.08164 (2023).
- Hoyos-Osorio, Jhoan K., and Luis G. Sanchez-Giraldo. "The representation jensen-shannon divergence." arXiv preprint arXiv:2305.16446 (2023).
Conference
- Posso Murillo, S., Skean, O., Sanchez Giraldo, L.G. "Non-uniform Sampling-Based Breast Cancer Classification," In: Cao, X., Xu, X., Rekik, I., Cui, Z., Ouyang, X. (eds) Machine Learning in Medical Imaging, MLMI 2023. Lecture Notes in Computer Science, 14349. Springer, Cham, 2023.
- Eskandari, S., Lumpp, J., Sanchez Giraldo, L. "Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling." In: Cao, X., Xu, X., Rekik, I., Cui, Z., Ouyang, X. (eds) Machine Learning in Medical Imaging. MLMI 2023. Lecture Notes in Computer Science, 14348, Springer, Cham, 2023
- Jhoan Keider Hoyos Osorio, Oscar Skean, Austin J. Brockmeier, and Luis Gonzalo Sanchez Giraldo, "The Representation Jensen-Rénji Divergence," To appear in International Conference on Acoustics, Speech and Signal Processing, 2022.
- Shujian Yu, Luis Sanchez Giraldo, and José C. Príncipe, "Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities," International Joint Conference on Artificial Intelligence, 2021.
Journal
- Joshua Bowren, Luis Gonzalo Sanchez Giraldo, and Odelia Schwartz, "Inference via Sparse Coding in a Hierarchical Vision Model," Journal of Vision, 22(19), 2022.
- Yantao Wei, Shujian Yu, Luis Sanchez Giraldo, and Jose C. Principe, "Multiscale Principle of Relevant Information for Hyperspectral Image Classification," Machine Learning, Springer, 2021.
- Md Nasir Uddin Laskar, Luis Gonzalo Sanchez Giraldo, Odelia Schwartz, "Deep Neural Networks capture texture sensitivity in V2," Journal of Vision, 2020.
- Shujian Yu, Luis Gonzalo Sanchez Giraldo, Robert Jenssen, Jose C. Principe, "Multivariate Extension of Matrix-Based Rényi's alpha-Order Entropy Functional," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
Workshop
- Austin J. Brockmeier, Claudio Cesar Claros-Olivares, Matthew Emigh, and Luis Gonzalo Sanchez Giraldo, "Identifying the Instances Associated with Distribution Shifts using the Max-Sliced Bures Divergence," NeurIPS 2021 Workshop DistShift, 2021.
- Xu Pan, Elif Kartal, Luis Gonzalo Sanchez Giraldo, Odelia Schwartz, "Brain-Inspired Weighted Normalization for CNN Image Classification," ICLR Workshop: How Can Findings About The Brain Improve AI Systems?, 2021.