| Bayesian optimization of combinatorial structures R Baptista, M Poloczek International Conference on Machine Learning 80, 2018 | 166 | 2018 |
| Coupling techniques for nonlinear ensemble filtering A Spantini, R Baptista, Y Marzouk SIAM Review 64 (4), 921-953, 2022 | 102 | 2022 |
| On the representation and learning of monotone triangular transport maps R Baptista, Y Marzouk, O Zahm Foundations of Computational Mathematics, 1-46, 2023 | 75* | 2023 |
| Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference R Baptista, B Hosseini, NB Kovachki, Y Marzouk SIAM/ASA Journal on Uncertainty Quantification 12 (3), 868-900, 2024 | 47* | 2024 |
| Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting R Morrison, R Baptista, Y Marzouk Advances in Neural Information Processing Systems, 2359-2369, 2017 | 41 | 2017 |
| Score-based Diffusion Models in Function Space JH Lim, NB Kovachki, R Baptista, C Beckham, K Azizzadenesheli, ... arXiv preprint arXiv:2302.07400, 2023 | 40 | 2023 |
| Some greedy algorithms for sparse polynomial chaos expansions R Baptista, V Stolbunov, PB Nair Journal of Computational Physics 387, 303-325, 2019 | 32 | 2019 |
| Debias coarsely, sample conditionally: Statistical downscaling through optimal transport and probabilistic diffusion models ZY Wan, R Baptista, A Boral, YF Chen, J Anderson, F Sha, ... Advances in Neural Information Processing Systems 36, 47749-47763, 2023 | 23 | 2023 |
| Learning non-Gaussian graphical models via Hessian scores and triangular transport R Baptista, R Morrison, O Zahm, Y Marzouk Journal of Machine Learning Research 25 (85), 1-46, 2024 | 17 | 2024 |
| Gradient-based data and parameter dimension reduction for Bayesian models: an information theoretic perspective R Baptista, Y Marzouk, O Zahm arXiv preprint arXiv:2207.08670, 2022 | 17 | 2022 |
| An approximation theory framework for measure-transport sampling algorithms R Baptista, B Hosseini, N Kovachki, Y Marzouk, A Sagiv Mathematics of Computation, 2024 | 16 | 2024 |
| A low-rank ensemble Kalman filter for elliptic observations M Le Provost, R Baptista, Y Marzouk, JD Eldredge Proceedings of the Royal Society A 478 (2266), 20220182, 2022 | 14 | 2022 |
| Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport R Baptista, L Cao, J Chen, O Ghattas, F Li, YM Marzouk, JT Oden Journal of Computational Physics 503, 112844, 2024 | 13 | 2024 |
| Optimal approximations of coupling in multidisciplinary models R Baptista, Y Marzouk, K Willcox, B Peherstorfer AIAA journal 56 (6), 2412-2428, 2018 | 12 | 2018 |
| Ensemble Transport Smoothing. Part II: Nonlinear Updates M Ramgraber, R Baptista, D McLaughlin, Y Marzouk Journal of Computational Physics: X, 100133, 2023 | 11 | 2023 |
| Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference ZO Wang, R Baptista, Y Marzouk, L Ruthotto, D Verma arXiv preprint arXiv:2310.16975, 2023 | 11 | 2023 |
| Computational optimal transport and filtering on Riemannian manifolds D Grange, M Al-Jarrah, R Baptista, A Taghvaei, TT Georgiou, S Phillips, ... IEEE Control Systems Letters, 2023 | 9 | 2023 |
| A low-rank nonlinear ensemble filter for vortex models of aerodynamic flows M Le Provost, R Baptista, Y Marzouk, J Eldredge AIAA Scitech 2021 Forum, 1937, 2021 | 9 | 2021 |
| Ensemble Transport Smoothing. Part I: Unified Framework M Ramgraber, R Baptista, D McLaughlin, Y Marzouk Journal of Computational Physics: X, 100134, 2023 | 8 | 2023 |
| Bayesian seismic inversion: Measuring Langevin MCMC sample quality with kernels M Izzatullah, R Baptista, L Mackey, Y Marzouk, D Peter SEG International Exposition and Annual Meeting, D031S034R003, 2020 | 8 | 2020 |
Youssef MarzoukProfessor, Massachusetts Institute of Technologyبريد إلكتروني تم التحقق منه على mit.edu