| PAC-Bayesian generalization bounds for adversarial generative models SD Mbacke, F Clerc, P Germain International Conference on Machine Learning, 24271-24290, 2023 | 7 | 2023 |
| PAC-Bayesian Generalization Bounds for Adversarial Generative Models SD Mbacke, F Clerc, P Germain Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 7 | 2023 |
| Statistical guarantees for variational autoencoders using pac-bayesian theory SD Mbacke, F Clerc, P Germain Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Completeness for domain semirings and star-continuous Kleene algebras with domain SD Mbacke | 3 | 2018 |
| A Note on the Convergence of Denoising Diffusion Probabilistic Models SD Mbacke, O Rivasplata arXiv preprint arXiv:2312.05989, 2023 | 1 | 2023 |
| Theoretical guarantees for Deep Generative Models: A PAC-Bayesian Approach SD Mbacke | | 2024 |
| Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory S Diarra Mbacke, F Clerc, P Germain arXiv e-prints, arXiv: 2310.04935, 2023 | | 2023 |
| PAC-Bayesian Generalization Bounds for Adversarial Generative Models S Diarra Mbacke, F Clerc, P Germain arXiv e-prints, arXiv: 2302.08942, 2023 | | 2023 |
| Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory MS Diarra, C Florence, G Pascal 37th Conference on Neural Information Processing Systems (NeurIPS 2023)., 2023 | | 2023 |
| Complétude pour les demi-anneaux et algèbres de Kleene étoile-continues avec domaine SD Mbacke | | 2018 |
florence clercMcGill UniversityVerified email at mail.mcgill.ca
