Publications

Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash K. Mansinghka, Joshua Tenenmaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling (2024). Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. RSS, 2024.

PDF Project

Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka (2023). SMCP3: SMC with Probabilistic Program Proposals. AISTATS, 2023.

PDF Code Poster Video

George Matheos, Andrew D. Bolton, McCoy Becker, Cameron Freer, Vikash K. Mansinghka (2022). Brain computation as fast spiking neural Monte Carlo inference in probabilistic programs. Poster at NAISys, at CSHL, Aug 2022. Poster at MIT Quest for Intelligence, Nov 2022. Paper in preparation.

PDF Poster

George Matheos, Alexander K. Lew, Matin Ghavamizadeh, Stuart Russell, Marco Cusumano-Towner, Vikash K. Mansinghka (2020). Transforming Worlds: Automated Involutive MCMC for Open Universe Probabilistic Programs. AABI, 2020.

PDF Cite Code Poster