Guillermo Ortiz-Jiménez

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Sparse Sampling

Privileged Information

Inverse Problems

Top Venues

Publications

Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
Localizing Task Information for Improved Model Merging and Compression. CoRR (2024)
Ilia Shumailov, Jamie Hayes, Eleni Triantafillou, Guillermo Ortiz-Jiménez, Nicolas Papernot, Matthew Jagielski, Itay Yona, Heidi Howard, Eugene Bagdasaryan
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI. CoRR (2024)
Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr
Catastrophic overfitting can be induced with discriminative non-robust features. Trans. Mach. Learn. Res. 2023 (2023)
Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels. CoRR (2023)
Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander D'Amour, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
When does Privileged Information Explain Away Label Noise? CoRR (2023)
Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. CoRR (2023)
Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. NeurIPS (2023)
Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D'Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou
When does Privileged information Explain Away Label Noise? ICML (2023)
Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. ECCV (25) (2022)
Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip H. S. Torr
Catastrophic overfitting is a bug but also a feature. CoRR (2022)
Javier Maroto, Guillermo Ortiz-Jiménez, Pascal Frossard
On the benefits of knowledge distillation for adversarial robustness. CoRR (2022)
Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard
A Structured Dictionary Perspective on Implicit Neural Representations. CVPR (2022)
Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
What can linearized neural networks actually say about generalization? CoRR (2021)
Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
What can linearized neural networks actually say about generalization? NeurIPS (2021)
Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard
A Structured Dictionary Perspective on Implicit Neural Representations. CoRR (2021)
Guillermo Ortiz-Jiménez, Itamar Franco Salazar-Reque, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
A neural anisotropic view of underspecification in deep learning. CoRR (2021)
Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. CoRR (2021)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness. Proc. IEEE 109 (5) (2021)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness. CoRR (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Neural Anisotropy Directions. CoRR (2020)
Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard
On The Choice of Graph Neural Network Architectures. ICASSP (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Hold me tight! Influence of discriminative features on deep network boundaries. CoRR (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Hold me tight! Influence of discriminative features on deep network boundaries. NeurIPS (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Neural Anisotropy Directions. NeurIPS (2020)
Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard
Forward-Backward Splitting for Optimal Transport Based Problems. ICASSP (2020)
Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard
On the choice of graph neural network architectures. CoRR (2019)
Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
Sparse Sampling for Inverse Problems With Tensors. IEEE Trans. Signal Process. 67 (12) (2019)
Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard
CDOT: Continuous Domain Adaptation using Optimal Transport. CoRR (2019)
Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
Sampling and Reconstruction of Signals on Product Graphs. CoRR (2018)
Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
Sampling and Reconstruction of Signals on Product Graphs. GlobalSIP (2018)
Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
Sparse Sampling for Inverse Problems with Tensors. CoRR (2018)