Vikash Mansinghka

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Programming Language

Planning Problems

Partially Observable

Sequential Monte Carlo

Top Venues

Publications

Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. CoRR (2024)
Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum
Grounding Language about Belief in a Bayesian Theory-of-Mind. CoRR (2024)
Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning. CoRR (2024)
Tan Zhi-Xuan, Gloria Kang, Vikash Mansinghka, Joshua B. Tenenbaum
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals. CoRR (2024)
Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning. AAMAS (2024)
Tan Zhi-Xuan, Paul Stefan Lunis, Nathalie Fernandez Echeverri, Vikash Mansinghka, Josh Tenenbaum
Language Models as Informative Goal Priors in a Bayesian Theory of Mind. CogSci (2023)
Feras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka
Sequential Monte Carlo Learning for Time Series Structure Discovery. ICML (2023)
Lance Ying, Tan Zhi-Xuan, Vikash Mansinghka, Joshua B. Tenenbaum
Inferring the Goals of Communicating Agents from Actions and Instructions. CoRR (2023)
Feras Saad, Marco Cusumano-Towner, Vikash Mansinghka
Estimators of Entropy and Information via Inference in Probabilistic Models. AISTATS (2022)
Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash Mansinghka, Josh Tenenbaum
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind. CogSci (2021)
Alan F. Blackwell, Luke Church, Martin Erwig, James Geddes, Andy Gordon, Maria I. Gorinova, Atilim Gunes Baydin, Bradley Gram-Hansen, Tobias Kohn, Neil Lawrence, Vikash Mansinghka, Brooks Paige, Tomas Petricek, Diana Robinson, Advait Sarkar, Oliver Strickson
Usability of Probabilistic Programming Languages. PPIG (2019)