Pau de Jorge
Naver (South Korea)(KR)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Genomics and Chromatin Dynamics, RNA and protein synthesis mechanisms
Most-Cited Works
- → Progressive Skeletonization: Trimming more fat from a network at initialization(2020)40 cited
- → Make Some Noise: Reliable and Efficient Single-Step Adversarial Training(2022)31 cited
- → Nucleosome Dynamics: a new tool for the dynamic analysis of nucleosome positioning(2019)30 cited
- → Reliability in Semantic Segmentation: Are we on the Right Track?(2023)22 cited
- → A Survey on Transferability of Adversarial Examples across Deep Neural Networks(2023)11 cited
- → Placing Objects in Context via Inpainting for Out-of-Distribution Segmentation(2024)5 cited
- → Catastrophic overfitting can be induced with discriminative non-robust features(2022)1 cited
- → DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers(2025)