Mathieu Blondel
I obtained my PhD in machine learning from Kobe University, Japan, in 2013. From 2013 to 2019, I was a researcher at NTT Communication Science Laboratories in Kyoto, Japan. I am now a research scientist at Google Research, Brain team, in Paris, France. Check my homepage for more info.
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Learning Energy Networks with Generalized Fenchel-Young Losses
Felipe Llinares
Léonard Hussenot
Matthieu Geist
Neural Information Processing Systems (NeurIPS) (2022)
Differentiable Divergences Between Time Series
Arthur Mensch
Jean-Philippe Vert
Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR (2021), pp. 3853-3861
Learning with Differentiable Perturbed Optimizers
Olivier Teboul
Marco Cuturi
Jean-Philippe Vert
Francis Bach
Advances in Neural Information Processing Systems 33 (NeurIPS), Curran Associates, Inc. (2020), pp. 9508-9519
Implicit differentiation of Lasso-type models for hyperparameter optimization
Quentin Bertrand
Quentin Klopfenstein
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
ICML (2020) (to appear)
