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ORCIDBenjamin Dupuis
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2020 – today
- 2024
[c3]Benjamin Dupuis, Umut Simsekli:
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation. ICML 2024- [i6]Benjamin Dupuis, Umut Simsekli:
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation. CoRR abs/2402.07723 (2024) - [i5]Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli:
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets. CoRR abs/2404.17442 (2024) - [i4]Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli:
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. CoRR abs/2407.08723 (2024) - 2023
- [c2]Benjamin Dupuis, George Deligiannidis, Umut Simsekli:
Generalization Bounds using Data-Dependent Fractal Dimensions. ICML 2023: 8922-8968 - [i3]Benjamin Dupuis, George Deligiannidis, Umut Simsekli:
Generalization Bounds with Data-dependent Fractal Dimensions. CoRR abs/2302.02766 (2023) - [i2]Benjamin Dupuis, Paul Viallard:
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD. CoRR abs/2312.00427 (2023) - 2021
- [c1]Benjamin Dupuis, Arthur Jacot:
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel. NeurIPS 2021: 27659-27669 - [i1]Benjamin Dupuis, Arthur Jacot:
DNN-Based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel. CoRR abs/2106.05710 (2021)
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