| 3DP3: 3D scene perception via probabilistic programming N Gothoskar, M Cusumano-Towner, B Zinberg, M Ghavamizadeh, ... Advances in Neural Information Processing Systems 34, 9600-9612, 2021 | 49 | 2021 |
| Smcp3: Sequential monte carlo with probabilistic program proposals AK Lew, G Matheos, T Zhi-Xuan, M Ghavamizadeh, N Gothoskar, ... International conference on artificial intelligence and statistics, 7061-7088, 2023 | 13 | 2023 |
| Probabilistic programming with stochastic probabilities AK Lew, M Ghavamizadeh, MC Rinard, VK Mansinghka Proceedings of the ACM on Programming Languages 7 (PLDI), 1708-1732, 2023 | 9 | 2023 |
| Transforming worlds: Automated involutive MCMC for open-universe probabilistic models G Matheos, AK Lew, M Ghavamizadeh, S Russell, M Cusumano-Towner, ... Third Symposium on Advances in Approximate Bayesian Inference, 2020 | 4 | 2020 |
| Gensql: A probabilistic programming system for querying generative models of database tables M Huot, M Ghavami, AK Lew, U Schaechtle, CE Freer, Z Shelby, ... Proceedings of the ACM on Programming Languages 8 (PLDI), 790-815, 2024 | 1 | 2024 |
| Probabilistic Programming with Programmable Variational Inference MCR Becker, AK Lew, X Wang, M Ghavami, M Huot, MC Rinard, ... Proceedings of the ACM on Programming Languages 8 (PLDI), 2123-2147, 2024 | 1 | 2024 |
| Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes N Gothoskar, M Ghavami, E Li, A Curtis, M Noseworthy, K Chung, ... arXiv preprint arXiv:2312.08715, 2023 | | 2023 |
| SMCP3: SMC with Probabilistic Program Proposals AK Lew, G Matheos, T Zhi-Xuan, M Ghavamizadeh, N Gothoskar, ... | | |
