| Generalization Bounds using Data-Dependent Fractal Dimensions B Dupuis, G Deligiannidis, U Simsekli ICML 2023, 2023 | 23 | 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 | 7 | 2021 |
| Topological generalization bounds for discrete-time stochastic optimization algorithms R Andreeva, B Dupuis, R Sarkar, T Birdal, U Simsekli Advances in Neural Information Processing Systems 37, 4765-4818, 2025 | 5 | 2025 |
| Generalization bounds for heavy-tailed SDEs through the fractional Fokker-Planck equation B Dupuis, U Şimşekli arXiv preprint arXiv:2402.07723, 2024 | 4 | 2024 |
| From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD B Dupuis, P Viallard arXiv preprint arXiv:2312.00427, 2023 | 3 | 2023 |
| Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets B Dupuis, P Viallard, G Deligiannidis, U Simsekli Journal of Machine Learning Research 25 (409), 1-55, 2024 | 1 | 2024 |
| Understanding the Generalization Error of Markov algorithms through Poissonization B Dupuis, M Haddouche, G Deligiannidis, U Simsekli arXiv preprint arXiv:2502.07584, 2025 | | 2025 |
| DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel Supplementary Material B Dupuis, A Jacot | | |
