Michael Munn

According to our database1, Michael Munn authored at least 10 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Learning without training: The implicit dynamics of in-context learning.
CoRR, July, 2025

Learning by solving differential equations.
CoRR, May, 2025

Training in reverse: How iteration order influences convergence and stability in deep learning.
CoRR, February, 2025

2024
Leveraging free energy in pretraining model selection for improved fine-tuning.
CoRR, 2024

The Impact of Geometric Complexity on Neural Collapse in Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Unified Functional Hashing in Automatic Machine Learning.
CoRR, 2023

A margin-based multiclass generalization bound via geometric complexity.
Proceedings of the Topological, 2023

2022
Why neural networks find simple solutions: The many regularizers of geometric complexity.
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.
CoRR, 2021

2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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