Design of Fe-based bulk metallic glasses for maximum amorphous diameter (Dmax) using machine learning models DG Mastropietro, JA Moya Computational Materials Science 188, 110230, 2021 | 30 | 2021 |
Saddlepoint approximation for mixture models A Davison, D Mastropietro Biometrika 96 (2), 479-486, 2009 | 8 | 2009 |
Fleming-Viot helps speed up variational quantum algorithms in the presence of barren plateaus D Mastropietro, G Korpas, V Kungurtsev, J Marecek arXiv preprint arXiv:2311.18090, 2023 | 2 | 2023 |
Efficient reinforcement learning with Fleming-Viot particle systems: application to stochastic networks with rarely observed rewards D Mastropietro, U Ayesta, M Jonckheere, S Majewski | | 2023 |
Boosting reinforcement learning with sparse and rare rewards using Fleming-Viot particle systems D Mastropietro, S Majewski, U Ayesta, M Jonckheere 15th European Workshop on Reinforcement Learning (EWRL 2022), 2022 | | 2022 |
A risk-based estimate of stable bands for frequency adaptive regularization in image restoration DG Mastropietro University of Wisconsin--Madison, 2000 | | 2000 |
A risk-based frequency adaptive image restoration DG Mastropietro, DL Tull, MG Kang Proceedings 1999 International Conference on Image Processing (Cat …, 1999 | | 1999 |