Michael Munn

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Multiclass Problems

Generalization Bounds

Sequential Data

Machine Learning

Top Venues

Publications

Michael Munn, Benoit Dherin, Javier Gonzalvo
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning. CoRR (2024)
Michael Munn, Benoit Dherin, Javier Gonzalvo
A Margin-based Multiclass Generalization Bound via Geometric Complexity. CoRR (2024)
Michael Munn, Benoit Dherin, Javier Gonzalvo
A margin-based multiclass generalization bound via geometric complexity. TAG-ML (2023)
Ryan Gillard, Stephen Jonany, Yingjie Miao, Michael Munn, Connal de Souza, Jonathan Dungay, Chen Liang, David R. So, Quoc V. Le, Esteban Real
Unified Functional Hashing in Automatic Machine Learning. CoRR (2023)
Benoit Dherin, Michael Munn, Mihaela Rosca, David G. T. Barrett
Why neural networks find simple solutions: the many regularizers of geometric complexity. CoRR (2022)
Benoit Dherin, Michael Munn, Mihaela Rosca, David Barrett
Why neural networks find simple solutions: The many regularizers of geometric complexity. NeurIPS (2022)
Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio
COT-GAN: Generating Sequential Data via Causal Optimal Transport. CoRR (2020)
Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio
COT-GAN: Generating Sequential Data via Causal Optimal Transport. NeurIPS (2020)