Grégoire Mialon

5 papers · 2019–2024 · 4 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 📈 Trend Setter

Venues

ICLR (2) AISTATS (1) ICML (1) NeurIPS (1)

Top co-authors

Julien Mairal (3) Dexiong Chen (2) Yann LeCun (2) Quentin Garrido (1) Clémentine Fourrier (1) Danyal Rehman (1) Alexandre D'aspremont (1) Thomas Scialom (1) Thomas Wolf (1) Bobak Kiani (1)

Research topics

Machine Learning (4) Deep Learning (3) Optimization & Theory (3) Core Methods (2) Artificial Intelligence (1) Mathematics & Optimization (1) Architectures (1) Core AI (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Mathematics (1) Techniques (1)

Keywords

representation learning (1) embedding learning (1) optimal transport (1) self-supervised learning (1) attention mechanism (1) adversarial training (1) neural network optimization (1) empirical risk minimization (1) reproducing kernel hilbert space (1) convex loss (1) protein fold recognition (1) partial differential equation (1) neural solver (1) feature aggregation (1) joint embedding (1) kernel methods (1) general ai assistant (1) lie symmetry (1) joint embedding method (1) screening test (1)

Papers

GAIA: a benchmark for General AI Assistants ICLR 2024 Self-Supervised Learning with Lie Symmetries for Partial Differential Equations NeurIPS 2023 A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention ICLR 2021 Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions AISTATS 2020 A Kernel Perspective for Regularizing Deep Neural Networks ICML 2019