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— NeurIPS 2024 Vancouver
I will be in Vancouver for NeurIPS.
Microblog & Links
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— PhD defense: Matthieu Cordonnier
Matthieu Cordonnier defended his PhD thesis on "Neural networks on large scale random graphs". Congrats!
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— Talk at SophIA Summit
I gave an invited talk at SophIA Summit
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— MPGNN paper accepted to JMLR
Our paper Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs was accepted for publication in J. Mach. Learn. Res.
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— PhD defense: Mathieu Dagréou
Mathieu Dagréou defended his PhD thesis on "Contributions to stochastic bilevel optimization". Congratulations Mathieu!
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— 3IA chair holder
Just learned that I will be a 3IA chair holder for the next 4 years for my project BOGL (Bilevel Optimization for Graph Learning).
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— Derivatives of SGD accepted to NeurIPS 2024
Our (w/ F. Iutzeler & E. Pauwels) paper Derivatives of Stochastic Gradient Descent was accepted to NeurIPS 2024.
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— LOCA workshop
We organized with L. Calatroni the LOCA workshop in Sophie-Antipolis.
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— Talk at SPARNP conference
I gave a talk at the Statistical and Probabilistic Analysis of Random Networks and Processes conference.
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— One Piece of Math a Day
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— Talk at Inria Grenoble
I gave a talk at Inria Grenoble on automatic differentiation.
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— Talk at EURO 2024
Attending EURO 2024. I will give an invited talk in the "Algorithms for machine learning and inverse problems" session.
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— ANR MAD grant accepted
The grant ANR MAD was just accepted. I will be the PI of the project "Mathematics of Automatic Differentiation" for the next 4 years with the following consortium: J. Bolte, S. Gadat, E. Pauwels (Toulouse School of Economics), G. Fort, F. Iutzeler (Université Paul Sabatier) and J.-B. Caillau, Y. Laguel (Université Côte d'Azur).
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— Visiting MILA
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— Gradient Scarcity accepted to TMLR
Accepted paper to TMLR with Hashem Ghanem and Nicolas Keriven Gradient Scarcity with Bilevel Optimization for Graph Learning with Featured Certification!
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— Preprint: CHANI
New preprint with Sophie Jaffard and Patricia Reynaud-Bouret CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration.
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— Preprint: Derivatives of SGD
New preprint with Franck Iutzeler and Edouard Pauwels on the Derivatives of Stochastic Gradient Descent.
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— HVP blogpost spotlight at ICLR 2024
Our blogpost with Mathieu Dagréou, Pierre Ablin and Thomas Moreau How to compute Hessian-vector products? was accepted to ICLR 2024 as spotlight.
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— Visiting Flatiron Institute NYC
Visiting A. Bietti at CCM, Flatiron Institute, NYC. I presented our work on iterative automatic differentiation.
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— Talk at PEPR PDE-AI kickoff
Talk at the kickoff meeting of the PEPR PDE-AI project.