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Language Models as Informative Goal Priors in a Bayesian Theory of Mind., , , , и . CogSci, cognitivesciencesociety.org, (2023)Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought., , , и . CogSci, cognitivesciencesociety.org, (2020)Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning., , , и . AAMAS, стр. 2094-2103. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals., , , и . CoRR, (2024)Causal Inference using Gaussian Processes with Structured Latent Confounders., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 10313-10323. PMLR, (2020)Learning annotated hierarchies from relational data., , , и . NIPS, стр. 1185-1192. MIT Press, (2006)Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series., и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 755-764. PMLR, (2018)Building Machines that Learn and Think with People., , , , , , , , , и 3 other автор(ы). CoRR, (2024)Sequential Monte Carlo Learning for Time Series Structure Discovery., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 29473-29489. PMLR, (2023)Real-time Approximate Bayesian Computation for Scene Understanding., , , , и . CoRR, (2019)