| Gen: A General-Purpose Probabilistic Programming System with Programmable Inference MF Cusumano-Towner, FA Saad, AK Lew, VK Mansinghka PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming …, 2019 | 233 | 2019 |
| Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling FA Saad, MF Cusumano-Towner, U Schaechtle, MC Rinard, ... Proceedings of the ACM on Programming Languages 3 (POPL), 37, 2019 | 73 | 2019 |
| SPPL: Probabilistic Programming with Fast Exact Symbolic Inference FA Saad, MC Rinard, VK Mansinghka PLDI 2021: Proceedings of the 42nd ACM SIGPLAN International Conference on …, 2021 | 54 | 2021 |
| Elements of a Stochastic 3D Prediction Engine in Larval Zebrafish Prey Capture AD Bolton, M Haesemeyer, J Jordi, U Schaechtle, FA Saad, ... eLife 8, e51975, 2019 | 44 | 2019 |
| Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series FA Saad, VK Mansinghka AISTATS 2018: Proceedings of the 21st International Conference on Artificial …, 2018 | 27* | 2018 |
| A Probabilistic Programming Approach to Probabilistic Data Analysis F Saad, VK Mansinghka NIPS 2016: Advances in Neural Information Processing Systems 29, 2011-2019, 2016 | 26 | 2016 |
| Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes F Saad, V Mansinghka AISTATS 2017: Proceedings of the 20th International Conference on Artificial …, 2017 | 16 | 2017 |
| Probabilistic data analysis with probabilistic programming F Saad, V Mansinghka arXiv preprint arXiv:1608.05347, 2016 | 15 | 2016 |
| The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions FA Saad, CE Freer, MC Rinard, VK Mansinghka AISTATS 2020: Proceedings of the 23rd International Conference on Artificial …, 2020 | 12 | 2020 |
| Sequential Monte Carlo Learning for Time Series Structure Discovery F Saad, B Patton, MD Hoffman, RA Saurous, V Mansinghka ICML 2023: Proceedings of the 40th International Conference on Machine …, 2023 | 11 | 2023 |
| Time Series Structure Discovery via Probabilistic Program Synthesis U Schaechtle, F Saad, A Radul, V Mansinghka arXiv preprint arXiv:1611.07051, 2016 | 11 | 2016 |
| A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions FA Saad, CE Freer, NL Ackerman, VK Mansinghka AISTATS 2019: Proceedings of the 22nd International Conference on Artificial …, 2019 | 10 | 2019 |
| Hierarchical Infinite Relational Model FA Saad, VK Mansinghka UAI 2021: Proceedings of the 37th Conference on Uncertainty in Artificial …, 2021 | 9 | 2021 |
| Optimal Approximate Sampling from Discrete Probability Distributions FA Saad, CE Freer, MC Rinard, VK Mansinghka Proceedings of the ACM on Programming Languages 4 (POPL), 36, 2020 | 7 | 2020 |
| Scalable Structure Learning, Inference, and Analysis with Probabilistic Programs FAK Saad Massachusetts Institute of Technology, 2022 | 5 | 2022 |
| Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes F Saad, L Casarsa, V Mansinghka arXiv preprint arXiv:1704.01087, 2017 | 5 | 2017 |
| Scalable spatiotemporal prediction with Bayesian neural fields F Saad, J Burnim, C Carroll, B Patton, U Köster, R A. Saurous, M Hoffman Nature Communications 15 (1), 7942, 2024 | 4 | 2024 |
| Robust Resource Bounds with Static Analysis and Bayesian Inference L Pham, FA Saad, J Hoffmann Proceedings of the ACM on Programming Languages 8 (PLDI), 76-101, 2024 | 4 | 2024 |
| Estimators of Entropy and Information via Inference in Probabilistic Models F Saad, M Cusumano-Towner, V Mansinghka AISTATS 2022: Proceedings of the 25th International Conference on Artificial …, 2022 | 4 | 2022 |
| Bayesian AutoML for Databases via the InferenceQL Probabilistic Programming System U Schaechtle, C Freer, Z Shelby, F Saad, V Mansinghka AutoML 2022: First Conference on Automated Machine Learning (Late-Breaking …, 2022 | 3 | 2022 |
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectOverená e-mailová adresa na: mit.edu