Guillermo Ortiz-Jiménez

profile.jpg
gortizji⚛gmail.com

¡Hola! 👋 I’m a research scientist at Google DeepMind making AI more reliable and trustworthy.

I obtained my PhD at EPFL🇨🇭 under the supervision of Pascal Frossard where I focused on the empirical understanding of deep learning. During my PhD, I interned at Google Research in Zürich and visited Philip Torr’s lab at the University of Oxford 🇬🇧 as part of the ELLIS PhD Program. Prior to that, I obtained my MSc. from TU Delft 🇳🇱 and my BSc. from Universidad Politécnica de Madrid 🇪🇸.

Research interests: I work in responsible AI, developing tools to make models more reliable, fair, safe and universally useful. I am also interested in the science of deep learning, with a focus on understanding how editions in the weights affect the behavior of AI systems.

If you’re not sure how to to pronounce my name you can watch this video. Here’s a quick tip: the double “ll” in Spanish sounds like a “y” and the “u” in “Gui” is silent. So altogether, it’s “ghee-YAIR-moh.”

news

Jan 2024 I started a new job at Google DeepMind.
Dec 2023 We presented Task Arithmetic in the Tangent Space as and Oral in NeurIPS 2024.
Dec 2023 I defended my PhD at EPFL 🎉!

selected publications

  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
  2. 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
  3. 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
  4. 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
  5. Neural Anisotropy Directions
    Guillermo Ortiz-Jimenez* ,  Apostolos Modas* ,  Seyed-Mohsen Moosavi-Dezfooli ,  and  Pascal Frossard
    In Advances in Neural Information Processing Systems (NeurIPS) , 2020