@inproceedings{garrido2026latentaction,title={Learning Latent Action World Models in the Wild},author={Garrido, Quentin and Nagarajan, Tushar and Terver, Basile and Ballas, Nicolas and LeCun, Yann and Rabbat, Michael},booktitle={Proceedings of the 43rd International Conference on Machine Learning},series={Proceedings of Machine Learning Research},volume={306},pages={34113--34150},publisher={PMLR},year={2026},eprint={2601.05230},archiveprefix={arXiv},}
@inproceedings{joseph2026interpreting,title={Interpreting Physics in Video World Models},author={Joseph, Sonia and Garrido, Quentin and Balestriero, Randall and Kowal, Matthew and Fel, Thomas and Bakhtiari, Shahab and Richards, Blake Aaron and Rabbat, Michael},booktitle={Proceedings of the 43rd International Conference on Machine Learning},series={Proceedings of Machine Learning Research},volume={306},pages={54687--54724},publisher={PMLR},year={2026},eprint={2602.07050},archiveprefix={arXiv},note={Also presented at the ICML 2026 Mechanistic Interpretability Workshop and the IJCAI 2026 Workshop on Safe Physical AI},}
@inproceedings{terver2026ebjepa,title={A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures},author={Terver, Basile and Balestriero, Randall and Dervishi, Megi and Fan, David and Garrido, Quentin and Nagarajan, Tushar and Sinha, Koustuv and Zhang, Wancong and Rabbat, Michael and LeCun, Yann and Bar, Amir},booktitle={ICLR 2026 Workshop on World Models: Understanding, Modelling and Scaling},year={2026},eprint={2602.03604},archiveprefix={arXiv},}
@article{krojer2025mvp,title={A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs},author={Krojer, Benno and Komeili, Mojtaba and Ross, Candace and Garrido, Quentin and Sinha, Koustuv and Ballas, Nicolas and Assran, Mido},journal={Transactions on Machine Learning Research},issn={2835-8856},year={2025},eprint={2506.09987},archiveprefix={arXiv},}
@article{assran2025vjepa2,title={V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning},author={Assran, Mido and Bardes, Adrien and Fan, David and Garrido, Quentin and Howes, Russell and Komeili, Mojtaba and Muckley, Matthew and Rizvi, Ammar and Roberts, Claire and Sinha, Koustuv and Zholus, Artem and Arnaud, Sergio and Gejji, Abha and Martin, Ada and Hogan, Francois Robert and Dugas, Daniel and Bojanowski, Piotr and Khalidov, Vasil and Labatut, Patrick and Massa, Francisco and Szafraniec, Marc and Krishnakumar, Kapil and Li, Yong and Ma, Xiaodong and Chandar, Sarath and Meier, Franziska and LeCun, Yann and Rabbat, Michael and Ballas, Nicolas},journal={arXiv preprint arXiv:2506.09985},year={2025},eprint={2506.09985},archiveprefix={arXiv},}
@article{bordes2025intphys2,title={IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments},author={Bordes, Florian and Garrido, Quentin and Kao, Justine T and Williams, Adina and Rabbat, Michael and Dupoux, Emmanuel},journal={arXiv preprint arXiv:2506.09849},year={2025},eprint={2506.09849},archiveprefix={arXiv},}
@article{garrido2025intuitive,title={Intuitive physics understanding emerges from self-supervised pretraining on natural videos},author={Garrido, Quentin and Ballas, Nicolas and Assran, Mahmoud and Bardes, Adrien and Najman, Laurent and Rabbat, Michael and Dupoux, Emmanuel and LeCun, Yann},journal={arXiv preprint arXiv:2502.11831},year={2025},eprint={2502.11831},archiveprefix={arXiv},}
@inproceedings{altahan2024unibench,title={UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling},author={Al-Tahan, Haider and Garrido, Quentin and Balestriero, Randall and Bouchacourt, Diane and Hazirbas, Caner and Ibrahim, Mark},booktitle={Advances in Neural Information Processing Systems (Datasets and Benchmarks Track)},year={2024},eprint={2408.04810},archiveprefix={arXiv},}
@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{altahan2024relational,title={Scaling Vision-Language Models Does Not Improve Relational Understanding: The Right Learning Objective Helps},author={Al-Tahan, Haider and Garrido, Quentin and Balestriero, Randall and Bouchacourt, Diane and Hazirbas, Caner and Ibrahim, Mark},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},pages={8353--8358},year={2024},}
@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},}
@article{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{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},booktitle={Advances in Neural Information Processing Systems},volume={36},pages={28973--29004},year={2023},note={Equal contribution: Q. Garrido and G. Mialon},}
@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},note={Outstanding Paper Honorable Mention},}
@article{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},journal={arXiv preprint arXiv:2304.12210},year={2023},}
@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},note={Ian Lawson Van Toch Memorial Award for Outstanding Student Paper},}