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Cited by
All
Since 2019
Citations
17
17
h-index
2
2
i10-index
1
1
0
8
4
2021
2022
2023
2024
1
2
7
7
Public access
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2 articles
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Benjamin Dupuis
PhD student,
INRIA
- ENS Paris
Verified email at inria.fr
Machine learning
probability theory
Articles
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Year
Generalization Bounds using Data-Dependent Fractal Dimensions
B Dupuis, G Deligiannidis, U Simsekli
ICML 2023
, 2023
11
2023
DNN-based topology optimisation: Spatial invariance and neural tangent kernel
B Dupuis, A Jacot
Advances in Neural Information Processing Systems 34, 27659-27669
, 2021
5
2021
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD
B Dupuis, P Viallard
NeurIPS 2023 Workshop Heavy Tails in Machine Learning
, 2023
1
2023
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
B Dupuis, P Viallard, G Deligiannidis, U Simsekli
arXiv preprint arXiv:2404.17442
, 2024
2024
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation
B Dupuis, U Şimşekli
arXiv preprint arXiv:2402.07723
, 2024
2024
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel Supplementary Material
B Dupuis, A Jacot
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