Munn, Michael

6 publications

ICML 2025 A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints Michael Munn, Susan Wei

TMLR 2025 How Iteration Composition Influences Convergence and Stability in Deep Learning Benoit Dherin, Benny Avelin, Anders Karlsson, Hanna Mazzawi, Javier Gonzalvo, Michael Munn

NeurIPS 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning Michael Munn, Benoit Dherin, Javier Gonzalvo

ICMLW 2023 A Margin-Based Multiclass Generalization Bound via Geometric Complexity Michael Munn, Benoit Dherin, Javier Gonzalvo

NeurIPS 2022 Why Neural Networks Find Simple Solutions: The Many Regularizers of Geometric Complexity Benoit Dherin, Michael Munn, Mihaela Rosca, David Barrett

NeurIPS 2020 COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio