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Matthieu Cordonnier

2 papers · 2021–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

AISTATS (1) JMLR (1)

Top co-authors

Samuel Vaiter (1) Nicolas Keriven (1) Yuuki Takai (1) Nicolas Tremblay (1) Akiyoshi Sannai (1)

Research topics

Deep Learning (2) Machine Learning (2) Architectures (2) Optimization & Theory · Machine Learning (2) Mathematics & Optimization (1) Optimization (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

learning theory (1) convergence analysis (1) model architecture (1) neural network optimization (1) message passing (1) piecewise linear function (1) random graph (1) convergence guarantee (1) aggregation function (1) message-passing graph neural network (1) continuous counterpart (1) graph neural network (1)

Papers

Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024 On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity AISTATS 2021