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ORCIDBenoit Dherin
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2020 – today
- 2024
[c6]Hanna Mazzawi, Javier Gonzalvo, Michael Wunder, Sammy Jerome, Benoit Dherin:
Deep Fusion: Efficient Network Training via Pre-trained Initializations. ICML 2024- [i11]Benoit Dherin, Mihaela Rosca:
Corridor Geometry in Gradient-Based Optimization. CoRR abs/2402.08818 (2024) - [i10]Michael Munn, Benoit Dherin, Javier Gonzalvo:
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning. CoRR abs/2405.15706 (2024) - [i9]Michael Munn, Benoit Dherin, Javier Gonzalvo:
A Margin-based Multiclass Generalization Bound via Geometric Complexity. CoRR abs/2405.18590 (2024) - 2023
- [j1]Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin:
On a continuous time model of gradient descent dynamics and instability in deep learning. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Michael Munn, Benoit Dherin, Javier Gonzalvo:
A margin-based multiclass generalization bound via geometric complexity. TAG-ML 2023: 189-205 - [i8]Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin:
On a continuous time model of gradient descent dynamics and instability in deep learning. CoRR abs/2302.01952 (2023) - [i7]Benoit Dherin, Huiyi Hu, Jie Ren, Michael W. Dusenberry, Balaji Lakshminarayanan:
Morse Neural Networks for Uncertainty Quantification. CoRR abs/2307.00667 (2023) - [i6]Benoit Dherin:
Implicit biases in multitask and continual learning from a backward error analysis perspective. CoRR abs/2311.00235 (2023) - 2022
- [c4]Benoit Dherin, Michael Munn, Mihaela Rosca, David Barrett:
Why neural networks find simple solutions: The many regularizers of geometric complexity. NeurIPS 2022 - [i5]Benoit Dherin, Michael Munn, Mihaela Rosca, David G. T. Barrett:
Why neural networks find simple solutions: the many regularizers of geometric complexity. CoRR abs/2209.13083 (2022) - 2021
- [c3]David G. T. Barrett, Benoit Dherin:
Implicit Gradient Regularization. ICLR 2021 - [c2]Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De:
On the Origin of Implicit Regularization in Stochastic Gradient Descent. ICLR 2021 - [c1]Mihaela Rosca, Yan Wu, Benoit Dherin, David Barrett:
Discretization Drift in Two-Player Games. ICML 2021: 9064-9074 - [i4]Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De:
On the Origin of Implicit Regularization in Stochastic Gradient Descent. CoRR abs/2101.12176 (2021) - [i3]Mihaela Rosca, Yan Wu, Benoit Dherin, David G. T. Barrett:
Discretization Drift in Two-Player Games. CoRR abs/2105.13922 (2021) - [i2]Benoit Dherin, Michael Munn, David G. T. Barrett:
The Geometric Occam's Razor Implicit in Deep Learning. CoRR abs/2111.15090 (2021) - 2020
- [i1]David G. T. Barrett, Benoit Dherin:
Implicit Gradient Regularization. CoRR abs/2009.11162 (2020)
Coauthor Index
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