Michael Munn

According to our database, Michael Munn authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Leveraging free energy in pretraining model selection for improved fine-tuning.

Michael Munn, Susan Wei

CoRR, 2024

The Impact of Geometric Complexity on Neural Collapse in Transfer Learning.

Michael Munn, Benoit Dherin, Javier Gonzalvo

CoRR, 2024

2023

Unified Functional Hashing in Automatic Machine Learning.

Ryan Gillard, Stephen Jonany, Yingjie Miao, Michael Munn, Connal de Souza, Jonathan Dungay, Chen Liang, David R. So, Quoc V. Le, Esteban Real

CoRR, 2023

A margin-based multiclass generalization bound via geometric complexity.

Michael Munn, Benoit Dherin, Javier Gonzalvo

Proceedings of the Topological, 2023

2022

Why neural networks find simple solutions: The many regularizers of geometric complexity.

Benoit Dherin, Michael Munn, Mihaela Rosca, David Barrett

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

The Geometric Occam's Razor Implicit in Deep Learning.

Benoit Dherin, Michael Munn, David G. T. Barrett

CoRR, 2021

2020

COT-GAN: Generating Sequential Data via Causal Optimal Transport.

Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020