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

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

Optimization Perspectives on Shellsort. - Oscar Skean; Richard Ehrenborg; Jerzy W. Jaromczyk (CoRR, 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)

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

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

Does Representation Matter? Exploring Intermediate Layers in Large Language Models. - Oscar Skean; Md Rifat Arefin; Yann LeCun; Ravid Shwartz-Ziv (CoRR, 2024)

Layer by Layer: Uncovering Hidden Representations in Language Models. - Oscar Skean; Md Rifat Arefin; Dan Zhao; Niket Patel; Jalal Naghiyev; Yann LeCun; Ravid Shwartz-Ziv (CoRR, 2025)