Generalization Bounds using Data-Dependent Fractal Dimensions B Dupuis, G Deligiannidis, U Simsekli ICML 2023, 2023 | 12 | 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 | | |