Publications

2023

1. Preprint

   Self-Supervised Learning with Lie Symmetries for Partial Differential Equations

   Quentin Garrido, Grégoire Mialon, Hannah Lawrence, and 3 more authors

   In , 2023

   Bib HTML PDF

   @inproceedings{mialon2023lie,
     title = {Self-Supervised Learning with Lie Symmetries for Partial Differential Equations},
     author = {Garrido, Quentin and Mialon, Gr{\'e}goire and Lawrence, Hannah and Rehman, Danyal and LeCun, Yann and Kiani, Bobak T},
     journal = {arXiv preprint arXiv:2307.05432},
     year = {2023}
   }

2. Preprint

   A Cookbook of Self-Supervised Learning

   Randall Balestriero, Mark Ibrahim, Vlad Sobal, and 16 more authors

   In , 2023

   Bib HTML PDF

   @inproceedings{balestriero2023cookbook,
     title = {A Cookbook of Self-Supervised Learning},
     author = {Balestriero, Randall and Ibrahim, Mark and Sobal, Vlad and Morcos, Ari and Shekhar, Shashank and Goldstein, Tom and Bordes, Florian and Bardes, Adrien and Mialon, Gregoire and Tian, Yuandong and Schwarzschild, Avi and Wilson, Andrew Gordon and Geiping, Jonas and Garrido, Quentin and Fernandez, Pierre and Bar, Amir and Pirsiavash, Hamed and LeCun, Yann and Goldblum, Micah},
     year = {2023},
     journal = {arXiv preprint arXiv:2304.12210},
   }

3. ICML - Oral

   RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank

   Quentin Garrido, Randall Balestriero, Laurent Najman, and 1 more author

   In Proceedings of the 40th International Conference on Machine Learning, 2023

   Bib HTML PDF

   @inproceedings{garrido2023rankme,
     title = {RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank},
     author = {Garrido, Quentin and Balestriero, Randall and Najman, Laurent and Lecun, Yann},
     booktitle = {Proceedings of the 40th International Conference on Machine Learning},
     year = {2023},
     series = {Proceedings of Machine Learning Research},
     publisher = {PMLR},
   }

4. ICML

   Self-supervised learning of Split Invariant Equivariant representations

   Quentin Garrido, Laurent Najman, and Yann Lecun

   In Proceedings of the 40th International Conference on Machine Learning, 2023

   Bib HTML PDF

   @inproceedings{garrido2023SIE,
     title = {Self-supervised learning of Split Invariant Equivariant representations},
     author = {Garrido, Quentin and Najman, Laurent and Lecun, Yann},
     booktitle = {Proceedings of the 40th International Conference on Machine Learning},
     year = {2023},
     series = {Proceedings of Machine Learning Research},
     publisher = {PMLR},
   }

5. ICLR - Oral

   On the duality between contrastive and non-contrastive self-supervised learning

   Quentin Garrido, Yubei Chen, Adrien Bardes, and 2 more authors

   In The Eleventh International Conference on Learning Representations , 2023

   Bib HTML PDF

   @inproceedings{garrido2023duality,
     title = {On the duality between contrastive and non-contrastive self-supervised learning},
     author = {Garrido, Quentin and Chen, Yubei and Bardes, Adrien and Najman, Laurent and LeCun, Yann},
     booktitle = {The Eleventh International Conference on Learning Representations },
     year = {2023},
     notes = {Outstanding Paper Honorable Mention}
   }

6. TMLR

   Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning

   Florian Bordes, Randall Balestriero, Quentin Garrido, and 2 more authors

   Transactions on Machine Learning Research, 2023

   Bib HTML PDF

   @article{bordes2023guillotine,
     title = {Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning},
     author = {Bordes, Florian and Balestriero, Randall and Garrido, Quentin and Bardes, Adrien and Vincent, Pascal},
     journal = {Transactions on Machine Learning Research},
     issn = {2835-8856},
     year = {2023},
   }

7. TMLR

   The Robustness Limits of SoTA Vision Models to Natural Variation

   Mark Ibrahim, Quentin Garrido, Ari S. Morcos, and 1 more author

   Transactions on Machine Learning Research, 2023

   Bib HTML PDF

   @article{ibrahim2023robustness,
     title = {The Robustness Limits of SoTA Vision Models to Natural Variation},
     author = {Ibrahim, Mark and Garrido, Quentin and Morcos, Ari S. and Bouchacourt, Diane},
     journal = {Transactions on Machine Learning Research},
     issn = {2835-8856},
     year = {2023},
   }

2022

1. ISMB

   Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder

   Quentin Garrido, Sebastian Damrich, Alexander Jäger, and 4 more authors

   Bioinformatics, 2022

   Bib HTML

   @article{garrido2022visualizing,
     author = {Garrido, Quentin and Damrich, Sebastian and J{\"a}ger, Alexander and Cerletti, Dario and Claassen, Manfred and Najman, Laurent and Hamprecht, Fred A},
     journal = {Bioinformatics},
     volume = {38},
     number = {Supplement\_1},
     pages = {i316--i324},
     year = {2022},
     publisher = {Oxford University Press},
   }