Publications

G. Mialon, R. Balestriero, Y. LeCun (2022). Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations. arXiv.

G. Mialon (2022). On Inductive Biases for Machine Learning in Data-Constrained Settings. PhD Thesis.

G. Mialon*, D. Chen*, M. Selosse, J. Mairal (2021). GraphiT: Encoding Graph Structure in Transformers. arXiv.

G. Mialon*, D. Chen*, A. d'Aspremont, J. Mairal (2020). A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. ICLR 2021.

G. Mialon, A. d'Aspremont, J. Mairal (2020). Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions. AISTATS 2020.

A. Bietti*, G. Mialon*, D. Chen, J. Mairal (2019). A Kernel Perspective for Regularizing Deep Neural Networks. ICML 2019.