Vikash K. Mansinghka
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
7
Active years
2006–2023
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | AISTATS | ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images. | Matthew D. Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K. Mansinghka, Rif A. Saurous |
| 2023 | AISTATS | SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. | Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka |
| 2023 | ICCV | 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation. | Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lzaro-Gredilla, Dileep George, Vikash K. Mansinghka |
| 2023 | LICS | ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs. | Mathieu Huot, Alexander K. Lew, Vikash K. Mansinghka, Sam Staton |
| 2022 | ICRA | DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. | Nishad Gothoskar, Miguel Lzaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George |
| 2022 | UAI | Recursive Monte Carlo and variational inference with auxiliary variables. | Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka |
| 2021 | PLDI | SPPL: probabilistic programming with fast exact symbolic inference. | Feras A. Saad, Martin C. Rinard, Vikash K. Mansinghka |
| 2021 | UAI | Hierarchical infinite relational model. | Feras A. Saad, Vikash K. Mansinghka |
| 2019 | AISTATS | A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions. | Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka |
| 2019 | PLDI | Gen: a general-purpose probabilistic programming system with programmable inference. | Marco F. Cusumano-Towner, Feras A. Saad, Alexander K. Lew, Vikash K. Mansinghka |
| 2018 | PLDI | A design proposal for Gen: probabilistic programming with fast custom inference via code generation. | Marco F. Cusumano-Towner, Vikash K. Mansinghka |
| 2018 | PLDI | Incremental inference for probabilistic programs. | Marco F. Cusumano-Towner, Benjamin Bichsel, Timon Gehr, Martin T. Vechev, Vikash K. Mansinghka |
| 2018 | PLDI | Probabilistic programming with programmable inference. | Vikash K. Mansinghka, Ulrich Schaechtle, Shivam Handa, Alexey Radul, Yutian Chen, Martin C. Rinard |
| 2013 | ACSSC | Markov chain algorithms: A template for building future robust low power systems. | Biplab Deka, Alex A. Birklykke, Henry Duwe, Vikash K. Mansinghka, Rakesh Kumar |
| 2008 | UAI | Church: a language for generative models. | Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Kallista A. Bonawitz, Joshua B. Tenenbaum |
| 2006 | UAI | Structured Priors for Structure Learning. | Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum |