Michael Munn - RankMe

19 papers A* 4Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints. ICML Michael Munn, Susan Wei
2025	J	`jnl`	Equivalence of Context and Parameter Updates in Modern Transformer Blocks. CoRR Adrian Goldwaser, Michael Munn, Javier Gonzalvo, Benoit Dherin
2025	J	`jnl`	How iteration composition influences convergence and stability in deep learning. Trans. Mach. Learn. Res. Benoit Dherin, Benny Avelin, Anders Karlsson, Hanna Mazzawi, Javier Gonzalvo, Michael Munn
2025	J	`jnl`	Learning by solving differential equations. CoRR Benoit Dherin, Michael Munn, Hanna Mazzawi, Michael Wunder, Sourabh Medapati, Javier Gonzalvo
2025	J	`jnl`	Learning without training: The implicit dynamics of in-context learning. CoRR Benoit Dherin, Michael Munn, Hanna Mazzawi, Michael Wunder, Javier Gonzalvo
2025	J	`jnl`	On residual network depth. CoRR Benoit Dherin, Michael Munn
2025	J	`jnl`	Training in reverse: How iteration order influences convergence and stability in deep learning. CoRR Benoit Dherin, Benny Avelin, Anders Karlsson, Hanna Mazzawi, Javier Gonzalvo, Michael Munn
2025	J	`jnl`	Transmuting prompts into weights. CoRR Hanna Mazzawi, Benoit Dherin, Michael Munn, Michael Wunder, Javier Gonzalvo
2024	J	`jnl`	A Margin-based Multiclass Generalization Bound via Geometric Complexity. CoRR Michael Munn, Benoit Dherin, Javier Gonzalvo
2024	J	`jnl`	Leveraging free energy in pretraining model selection for improved fine-tuning. CoRR Michael Munn, Susan Wei
2024	A*	`conf`	The Impact of Geometric Complexity on Neural Collapse in Transfer Learning. NeurIPS Michael Munn, Benoit Dherin, Javier Gonzalvo
2024	J	`jnl`	The Impact of Geometric Complexity on Neural Collapse in Transfer Learning. CoRR Michael Munn, Benoit Dherin, Javier Gonzalvo
2023	—	`conf`	A margin-based multiclass generalization bound via geometric complexity. TAG-ML Michael Munn, Benoit Dherin, Javier Gonzalvo
2023	J	`jnl`	Unified Functional Hashing in Automatic Machine Learning. CoRR Ryan Gillard, Stephen Jonany, Yingjie Miao, Michael Munn, Connal de Souza, Jonathan Dungay, Chen Liang, David R. So, Quoc V. Le, Esteban Real
2022	A*	`conf`	Why neural networks find simple solutions: The many regularizers of geometric complexity. NeurIPS Benoit Dherin, Michael Munn, Mihaela Rosca, David Barrett
2022	J	`jnl`	Why neural networks find simple solutions: the many regularizers of geometric complexity. CoRR Benoit Dherin, Michael Munn, Mihaela Rosca, David G. T. Barrett
2021	J	`jnl`	The Geometric Occam's Razor Implicit in Deep Learning. CoRR Benoit Dherin, Michael Munn, David G. T. Barrett
2020	A*	`conf`	COT-GAN: Generating Sequential Data via Causal Optimal Transport. NeurIPS Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio
2020	J	`jnl`	COT-GAN: Generating Sequential Data via Causal Optimal Transport. CoRR Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio