Benoit Dherin - RankMe

27 papers A* 6Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Grow, Don't Overwrite: Fine-tuning Without Forgetting. CoRR Dyah Adila, Hanna Mazzawi, Benoit Dherin, Xavier Gonzalvo
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`	Corridor Geometry in Gradient-Based Optimization. CoRR Benoit Dherin, Mihaela Rosca
2024	A*	`conf`	Deep Fusion: Efficient Network Training via Pre-trained Initializations. ICML Hanna Mazzawi, Javier Gonzalvo, Michael Wunder, Sammy Jerome, Benoit Dherin
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`	Implicit biases in multitask and continual learning from a backward error analysis perspective. CoRR Benoit Dherin
2023	J	`jnl`	Morse Neural Networks for Uncertainty Quantification. CoRR Benoit Dherin, Huiyi Hu, Jie Ren, Michael W. Dusenberry, Balaji Lakshminarayanan
2023	J	`jnl`	On a continuous time model of gradient descent dynamics and instability in deep learning. CoRR Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin
2023	J	`jnl`	On a continuous time model of gradient descent dynamics and instability in deep learning. Trans. Mach. Learn. Res. Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin
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	A*	`conf`	Discretization Drift in Two-Player Games. ICML Mihaela Rosca, Yan Wu, Benoit Dherin, David Barrett
2021	J	`jnl`	Discretization Drift in Two-Player Games. CoRR Mihaela Rosca, Yan Wu, Benoit Dherin, David G. T. Barrett
2021	A*	`conf`	Implicit Gradient Regularization. ICLR David G. T. Barrett, Benoit Dherin
2021	A*	`conf`	On the Origin of Implicit Regularization in Stochastic Gradient Descent. ICLR Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De
2021	J	`jnl`	On the Origin of Implicit Regularization in Stochastic Gradient Descent. CoRR Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De
2021	J	`jnl`	The Geometric Occam's Razor Implicit in Deep Learning. CoRR Benoit Dherin, Michael Munn, David G. T. Barrett
2020	J	`jnl`	Implicit Gradient Regularization. CoRR David G. T. Barrett, Benoit Dherin