Baptiste Goujaud

Baptiste Goujaud

Postdoctoral researcher

INRIA

Biography

I am a postdoctoral researcher in the MIND team at INRIA Saclay, working in Optimization with Thomas Moreau (INRIA) and Pierre Ablin (Apple).

Previously I completed a PhD in the CMAP lab at Ecole Polytechnique under the supervision of Aymeric Dieuleveut (Ecole Polytechnique) and Adrien Taylor (INRIA).

My research interests include Machine Learning, Optimization and Statistics. In particular, I am interested in distributed learning, generalization, privacy, robustness, diffusion processes and many more related topics.

Interests
  • Optimization
  • Distributed Learning
  • Robustness
  • Diffusion models
Education
  • PhD in Optimization for Machine Learning, 2024

    Ecole Polytechnique

  • Master of Science in Machine Learning and Computer Vision (MVA), 2017

    Ecole Normale Supérieure Paris-Saclay

  • Agrégation de mathématiques, ranked 18th, 2016

    Ecole Normale Supérieure Paris-Saclay

Publications

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(2024). Proving linear mode connectivity of neural networks via optimal transport. AISTATS 2024.

(2024). PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. Mathematical Programming Computation (MPC).

(2023). Counter-examples in first-order optimization: a constructive approach. L-CSS.

(2023). Gradient descent is optimal under lower restricted secant inequality and upper error bound. NeurIPS 2023.

(2023). On Fundamental Proof Structures in First-Order Optimization. CDC 2023.