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ORCIDGuillermo Ortiz-Jiménez
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2020 – today
- 2024
[c12]Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard:
Localizing Task Information for Improved Model Merging and Compression. ICML 2024- [c11]Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard:
Pi-DUAL: Using privileged information to distinguish clean from noisy labels. ICML 2024 - [i18]Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard:
Localizing Task Information for Improved Model Merging and Compression. CoRR abs/2405.07813 (2024) - [i17]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 abs/2407.00106 (2024) - 2023
- [j3]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) - [c10]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: 26646-26669 - [c9]Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard:
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. NeurIPS 2023 - [i16]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 abs/2303.01806 (2023) - [i15]Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard:
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. CoRR abs/2305.12827 (2023) - [i14]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 abs/2310.06600 (2023) - 2022
- [c8]Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard:
A Structured Dictionary Perspective on Implicit Neural Representations. CVPR 2022: 19206-19216 - [c7]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: 623-640 - [i13]Javier Maroto, Guillermo Ortiz-Jiménez, Pascal Frossard:
On the benefits of knowledge distillation for adversarial robustness. CoRR abs/2203.07159 (2022) - [i12]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 abs/2206.08242 (2022) - 2021
- [j2]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): 635-659 (2021) - [c6]Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
What can linearized neural networks actually say about generalization? NeurIPS 2021: 8998-9010 - [i11]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 abs/2104.14372 (2021) - [i10]Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
What can linearized neural networks actually say about generalization? CoRR abs/2106.06770 (2021) - [i9]Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard:
A Structured Dictionary Perspective on Implicit Neural Representations. CoRR abs/2112.01917 (2021) - [i8]Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. CoRR abs/2112.13547 (2021) - 2020
- [c5]Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard:
Forward-Backward Splitting for Optimal Transport Based Problems. ICASSP 2020: 5405-5409 - [c4]Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard:
On The Choice of Graph Neural Network Architectures. ICASSP 2020: 8489-8493 - [c3]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Hold me tight! Influence of discriminative features on deep network boundaries. NeurIPS 2020 - [c2]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Neural Anisotropy Directions. NeurIPS 2020 - [i7]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Hold me tight! Influence of discriminative features on deep network boundaries. CoRR abs/2002.06349 (2020) - [i6]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Neural Anisotropy Directions. CoRR abs/2006.09717 (2020) - [i5]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 abs/2010.09624 (2020)
2010 – 2019
- 2019
- [j1]Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Sparse Sampling for Inverse Problems With Tensors. IEEE Trans. Signal Process. 67(12): 3272-3286 (2019) - [i4]Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard:
CDOT: Continuous Domain Adaptation using Optimal Transport. CoRR abs/1909.11448 (2019) - [i3]Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard:
On the choice of graph neural network architectures. CoRR abs/1911.05384 (2019) - 2018
- [c1]Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Sampling and Reconstruction of Signals on Product Graphs. GlobalSIP 2018: 713-717 - [i2]Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Sparse Sampling for Inverse Problems with Tensors. CoRR abs/1806.10976 (2018) - [i1]Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Sampling and Reconstruction of Signals on Product Graphs. CoRR abs/1807.00145 (2018)
Coauthor Index
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