Pau de Jorge

Progressive Skeletonization: Trimming more fat from a network at initialization

Pau de Jorge, Amartya Sanyal, Harkirat Behl et al. · arXiv (Cornell University) · 2020 · 40 citations · Full text

Engineering, Machine Learning, Network Analysis +22

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training

Pau de Jorge, Adel Bibi, Riccardo Volpi et al. · arXiv (Cornell University) · 2022 · 31 citations · Full text

Artificial Intelligence, Data Augmentation, Larger Perturbations +10

Nucleosome Dynamics: a new tool for the dynamic analysis of nucleosome positioning

Diana Buitrago, Laia Codó, Ricard Illa et al. · Nucleic Acids Research · 2019 · 30 citations · Full text

Biophysical Modeling, Engineering, New Tool +24

Reliability in Semantic Segmentation: Are we on the Right Track?

Pau de Jorge, Riccardo Volpi, Philip H. S. Torr et al. · 2023 · 21 citations

Scene Analysis, Engineering, Machine Learning +19

A Survey on Transferability of Adversarial Examples across Deep Neural Networks

Jindong Gu, Xiaojun Jia, Pau de Jorge et al. · arXiv (Cornell University) · 2023 · 11 citations · Full text