@inproceedings{garrido2024IWM,title={Learning and Leveraging World Models in Visual Representation Learning},author={Garrido, Quentin and Assran, Mahmoud and Ballas, Nicolas and Bardes, Adrien and Najman, Laurent and LeCun, Yann},year={2024},eprint={2403.00504},archiveprefix={arXiv},primaryclass={cs.CV},}
@inproceedings{bardes202vjepa,title={Revisiting Feature Prediction for Learning Visual Representations from Video},author={Bardes, Adrien and Garrido, Quentin and Ponce, Jean and Chen, Xinlei and Rabbat, Michael and LeCun, Yann and Assran, Mido and Ballas, Nicolas},journal={Transactions on Machine Learning Research},issn={2835-8856},year={2024},note={Featured Certification},}
@inproceedings{bordes2024introductionvisionlanguagemodeling,title={An Introduction to Vision-Language Modeling},author={Bordes, Florian and Pang, Richard Yuanzhe and Ajay, Anurag and Li, Alexander C. and Bardes, Adrien and Petryk, Suzanne and Mañas, Oscar and Lin, Zhiqiu and Mahmoud, Anas and Jayaraman, Bargav and Ibrahim, Mark and Hall, Melissa and Xiong, Yunyang and Lebensold, Jonathan and Ross, Candace and Jayakumar, Srihari and Guo, Chuan and Bouchacourt, Diane and Al-Tahan, Haider and Padthe, Karthik and Sharma, Vasu and Xu, Hu and Tan, Xiaoqing Ellen and Richards, Megan and Lavoie, Samuel and Astolfi, Pietro and Hemmat, Reyhane Askari and Chen, Jun and Tirumala, Kushal and Assouel, Rim and Moayeri, Mazda and Talattof, Arjang and Chaudhuri, Kamalika and Liu, Zechun and Chen, Xilun and Garrido, Quentin and Ullrich, Karen and Agrawal, Aishwarya and Saenko, Kate and Celikyilmaz, Asli and Chandra, Vikas},year={2024},eprint={2405.17247},archiveprefix={arXiv},primaryclass={cs.LG},}
@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={Thirty-seventh Conference on Neural Information Processing Systems},year={2023}}
@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},}
@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},}
@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},}
@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}}
@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},}
@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},}
@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},}