Publications


    A. Stuhlmueller

      Learning Structured Generative Concepts (pdf) (bibtex)


      A. Stuhlmueller, J. B. Tenenbaum, N. D. Goodman:
      Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society
      #concepts

      Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation (pdf) (bibtex)


      D. Wingate, A. Stuhlmueller, N. D. Goodman:
      Proceedings of the 14th international conference on Artificial Intelligence and Statistics
      #probabilistic programming, #mcmc, #inference

      Why blame Bob? Probabilistic generative models, counterfactual reasoning, and blame attribution (pdf) (bibtex)


      J. McCoy, T. D. Ullman, A. Stuhlmueller, T. Gerstenberg, J. B. Tenenbaum:
      Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society
      #counterfactuals, #blame attribution, #probabilistic models, #causal reasoning

      Knowledge and implicature: Modeling language understanding as social cognition (pdf) (bibtex)


      N. D. Goodman, A. Stuhlmueller:
      Topics in Cognitive Science
      #language, #pragmatics

      Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs (pdf) (bibtex)


      A. Stuhlmueller, N. D. Goodman:
      Journal of Cognitive Systems Research
      #theory of mind, #probabilistic programming

      A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs (web) (bibtex)


      A. Stuhlmueller, N. D. Goodman:
      Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)
      #dynamic programming, #inference, #probabilistic programming

      Inducing Probabilistic Programs by Bayesian Program Merging (web) (bibtex)


      I. Hwang, A. Stuhlmueller, N. D. Goodman:
      Technical Report. arXiv:1110.5667 [cs.AI]
      #probabilistic programming, #program induction

      Nonstandard Interpretations of Probabilistic Programs for Efficient Inference (pdf) (bibtex)


      D. Wingate, N. D. Goodman, A. Stuhlmueller, J. M. Siskind:
      Advances in Neural Information Processing Systems (NIPS) 24
      #probabilistic programming, #inference

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