SPPL: probabilistic programming with fast exact symbolic inference

by Saad, Feras A, Rinard, Martin C, Mansinghka, Vikash K
Published 2022

A probabilistic model of cross-categorization

by Shafto, Patrick, Kemp, Charles, Mansinghka, Vikash K., Tenenbaum, Joshua B.
Published 2015

Picture: A Probabilistic Programming Language for Scene Perception

by Kulkarni, Tejas Dattatraya, Tenenbaum, Joshua B., Mansinghka, Vikash K., Kohli, Pushmeet
Published 2015

Exact and approximate sampling by systematic stochastic search

by Tenenbaum, Joshua B., Jonas, Eric M., Roy, Daniel, Mansinghka, Vikash K.
Published 2011

Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs

by Mansinghka, Vikash K., Kulkarni, Tejas Dattatraya, Perov, Yura N., Tenenbaum, Joshua B.
Published 2015

The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions

by Saad, Feras A., Freer, Cameron E., Rinard, Martin C, Mansinghka, Vikash K
Published 2022

Probabilistic programming with programmable inference

by Mansinghka, Vikash K., Schaechtle, Ulrich, Handa, Shivam, Radul, Alexey, Chen, Yutian, Rinard, Martin
Published 2021

Trace types and denotational semantics for sound programmable inference in probabilistic languages

by Lew, Alexander, Cusumano-Towner, Marco F., Sherman, Benjamin, Carbin, Michael James, Mansinghka, Vikash K
Published 2021

CrossCat: A fully Bayesian nonparametric method for analyzing heterogeneous, high dimensional data

by Shafto, Patrick, Jonas, Eric, Petschulat, Cap, Gasner, Max, Mansinghka, Vikash K, Tenenbaum, Joshua B
Published 2017

Elements of a stochastic 3D prediction engine in larval zebrafish prey capture

by Bolton, Andrew D, Haesemeyer, Martin, Jordi, Josua, Schaechtle, Ulrich, Saad, Feras A., Mansinghka, Vikash K, Tenenbaum, Joshua B, Engert, Florian
Published 2021