Vikash K. Mansinghka
Massachusetts Institute of Technology
H-index: 27
North America-United States
Top articles of Vikash K. Mansinghka
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness | arXiv preprint arXiv:2403.10454 | Aidan Curtis George Matheos Nishad Gothoskar Vikash Mansinghka Joshua Tenenbaum | 2024/3/15 |
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning | arXiv preprint arXiv:2402.17930 | Tan Zhi-Xuan Lance Ying Vikash Mansinghka Joshua B Tenenbaum | 2024/2/27 |
Grounding Language about Belief in a Bayesian Theory-of-Mind | arXiv preprint arXiv:2402.10416 | Lance Ying Tan Zhi-Xuan Lionel Wong Vikash Mansinghka Joshua Tenenbaum | 2024/2/16 |
Inferring the goals of communicating agents from actions and instructions | Proceedings of the AAAI Symposium Series | Lance Ying Tan Zhi-Xuan Vikash Mansinghka Joshua B Tenenbaum | 2023 |
Smcp3: Sequential monte carlo with probabilistic program proposals | International Conference on Artificial Intelligence and Statistics | Alexander K Lew* George Matheos* Tan Zhi-Xuan Matin Ghavamizadeh Nishad Gothoskar | 2023 |
ωPAP spaces: Reasoning denotationally about higher-order, recursive probabilistic and differentiable programs | Mathieu Huot Alexander K Lew Vikash K Mansinghka Sam Staton | 2023/6/26 | |
What do posterior distributions of probabilistic programs look like | Mathieu Huot* Alexander K. Lew* Vikash Mansinghka Sam Staton | 2023 | |
Probnerf: Uncertainty-aware inference of 3d shapes from 2d images | Matthew D Hoffman Tuan Anh Le Pavel Sountsov Christopher Suter Ben Lee | 2023/4/11 | |
From word models to world models: Translating from natural language to the probabilistic language of thought | arXiv preprint arXiv:2306.12672 | Lionel Wong Gabriel Grand Alexander K Lew Noah D Goodman Vikash K Mansinghka | 2023/6/22 |
ADEV: Sound automatic differentiation of expected values of probabilistic programs | Proceedings of the ACM on Programming Languages | Alexander K Lew* Mathieu Huot* Sam Staton Vikash K Mansinghka | 2023/1 |
Differentiating Metropolis-Hastings to optimize intractable densities | arXiv preprint arXiv:2306.07961 | Gaurav Arya Ruben Seyer Frank Schäfer Alex Lew Mathieu Huot | 2023/6/13 |
3d neural embedding likelihood: Probabilistic inverse graphics for robust 6d pose estimation | Guangyao Zhou Nishad Gothoskar Lirui Wang Joshua B Tenenbaum Dan Gutfreund | 2023 | |
Probabilistic Programming with Stochastic Probabilities | Proceedings of the ACM on Programming Languages | Alexander K Lew Matin Ghavamizadeh Martin C Rinard Vikash K Mansinghka | 2023/6/6 |
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes | arXiv preprint arXiv:2312.08715 | Nishad Gothoskar Matin Ghavami Eric Li Aidan Curtis Michael Noseworthy | 2023/12/14 |
Language Models as Informative Goal Priors in a Bayesian Theory of Mind | Proceedings of the Annual Meeting of the Cognitive Science Society | Tan Zhi-Xuan Paul Stefan Lunis Nathalie Fernandez Echeverri Vikash Mansinghka Josh Tenenbaum | 2023 |
Sequential monte carlo steering of large language models using probabilistic programs | arXiv preprint arXiv:2306.03081 | Alexander K Lew Tan Zhi-Xuan Gabriel Grand Vikash K Mansinghka | 2023/6/5 |
Sequential Monte Carlo learning for time series structure discovery | Feras Saad Brian Patton Matthew Douglas Hoffman Rif A Saurous Vikash Mansinghka | 2023/7/3 | |
Recursive Monte Carlo and variational inference with auxiliary variables | Alexander K Lew Marco Cusumano-Towner Vikash K Mansinghka | 2022/3/5 | |
Covert attention to obstacles biases zebrafish escape direction | bioRxiv | Hanna Zwaka Olivia J McGinnis Paula Pflitsch Srishti Prabha Vikash Mansinghka | 2022/4/15 |
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning | arXiv preprint arXiv:2208.02938 | Tan Zhi-Xuan Joshua B Tenenbaum Vikash K Mansinghka | 2022/8/5 |
Co-Authors
