publications

Check my Google Scholar for the full updated list. * denotes co-first authorship.

2023

  1. Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
    Guillermo Ortiz-Jimenez* ,  Alessandro Favero* ,  and  Pascal Frossard
    In Advances in Neural Information Processing Systems (NeurIPS) , 2023
    arXiv
  2. Catastrophic overfitting can be induced with discriminative non-robust features
    Guillermo Ortiz-Jiménez ,  Pau Jorge ,  Amartya Sanyal ,  Adel Bibi ,  Puneet Dokania , and 3 more authors
    Transactions on Machine Learning Research (TMLR), 2023
  3. When does privileged information explain away label noise?
    Guillermo Ortiz-Jiménez ,  Mark Collier ,  Anant Nawalgaria ,  Alexander d’Amour ,  Jesse Berent , and 2 more authors
    In International Conf. in Machine Learning (ICML) , 2023

2022

  1. PRIME: A few primitives can boost robustness to common corruptions
    Apostolos Modas* ,  Rahul Rade* ,  Guillermo Ortiz-Jimenez ,  Seyed-Mohsen Moosavi-Dezfooli ,  and  Pascal Frossard
    In European Conf. on Computer Vision (ECCV) , 2022
    arXiv
  2. A Structured Dictionary Perspective on Implicit Neural Representations
    Gizem Yüce* ,  Guillermo Ortiz-Jimenez* ,  Beril Besbinar ,  and  Pascal Frossard
    In IEEE Conf. on Computer Vision and Pattern Recognition ( CVPR) , 2022
    arXiv

2021

  1. What can linearized neural networks actually say about generalization?
    Guillermo Ortiz-Jimenez ,  Seyed-Mohsen Moosavi-Dezfooli ,  and  Pascal Frossard
    In Advances in Neural Information Processing Systems (NeurIPS) , 2021
    arXiv
  2. Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness
    Guillermo Ortiz-Jiménez ,  Apostolos Modas ,  Seyed- Mohsen Moosavi-Dezfooli ,  and  Pascal Frossard
    Proceedings of the IEEE, 2021
  3. A neural anisotropic view of underspecification in deep learning
    Guillermo Ortiz-Jiménez ,  Itamar-Franco Salazar-Reque ,  Apostolos Modas ,  Seyed-Mohsen Moosavi-Dezfooli ,  and  P. Frossard
    In RobustML Workshop at ICLR , 2021

2020

  1. Neural Anisotropy Directions
    Guillermo Ortiz-Jimenez* ,  Apostolos Modas* ,  Seyed-Mohsen Moosavi-Dezfooli ,  and  Pascal Frossard
    In Advances in Neural Information Processing Systems (NeurIPS) , 2020
    arXiv
  2. On the choice of graph neural network architectures
    Clement Vignac ,  Guillermo Ortiz-Jimenez ,  and  Pascal Frossard
    In IEEE Conf. in Acoustics, Speech and Signal Processing (ICASSP) , 2020
  3. Hold me tight! Influence of discriminative features on deep network boundaries
    Guillermo Ortiz-Jimenez ,  Apostolos Modas ,  Seyed-Mohsen Moosavi-Dezfooli ,  and  Pascal Frossard
    In Advances in Neural Information Processing Systems (NeurIPS) , 2020

2019

  1. Sparse sampling for inverse problems with tensors
    Guillermo Ortiz-Jimenez ,  Mario Coutino ,  Sundeep Chepuri ,  and  Geert Leus
    2019

2018

  1. Sampling and reconstruction of signals on product graphs
    Guillermo Ortiz-Jimenez ,  Mario Coutino ,  Sundeep Chepuri ,  and  Geert Leus
    In IEEE Conf. in Acoustics, Speech and Signal Processing (GlobalSIP) , 2018

2017

  1. Simulation Framework for a 3-D High-Resolution Imaging Radar at 300 GHz with a Scattering Model Based on Rendering Techniques
    Guillermo Ortiz-Jimenez ,  Federico García-Rial ,  Luis A Ubeda-Medina ,  Rafael Pagés ,  Narciso García , and 1 more author
    2017