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Vikash Mansinghka

Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness

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Mar 15, 2024
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Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning

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Feb 27, 2024
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Grounding Language about Belief in a Bayesian Theory-of-Mind

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Feb 16, 2024
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Inferring the Goals of Communicating Agents from Actions and Instructions

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Jun 28, 2023
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From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

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Oct 28, 2021
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A Simulation-Based Test of Identifiability for Bayesian Causal Inference

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Feb 23, 2021
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Causal Inference using Gaussian Processes with Structured Latent Confounders

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Jul 14, 2020
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Deep Involutive Generative Models for Neural MCMC

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Jul 02, 2020
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Bayesian causal inference via probabilistic program synthesis

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Oct 30, 2019
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Real-time Approximate Bayesian Computation for Scene Understanding

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May 22, 2019
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