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← Authors

Michael Munn

4 papers · 2020–2025 · 2 conferences · across top CS/AI conferences

Achievements

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+1 more ↓ πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (14)
πŸ—ΊοΈ Taxonomy Completionist (14)

Conferences

NIPS (3) ICML (1)

Top co-authors

Benoit Dherin (2) Beatrice Acciaio (1) Mihaela Rosca (1) Javier Gonzalvo (1) David Barrett (1) Susan Wei (1) Li Kevin Wenliang (1) Tianlin Xu (1)

Keywords

causal inference (1) representation learning (1) few-shot learning (1) transfer learning (1) optimal transport (1) time series (1) sinkhorn algorithm (1) sequential datum (1) neural collapse (1) foundation model (1) generative adversarial network (1) geometric complexity (1) few-shot setting (1)

Papers

A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints ICML 2025 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NIPS 2024 Why neural networks find simple solutions: The many regularizers of geometric complexity NIPS 2022 COT-GAN: Generating Sequential Data via Causal Optimal Transport NIPS 2020