Publications


    Inference

      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

      Exact and approximate sampling by systematic stochastic search (pdf) (bibtex)


      V. K. Mansinghka, D. M. Roy, E. Jonas, J. B. Tenenbaum:
      AISTATS 2009
      #inference

      Ping Pong in Church: Productive use of concepts in human probabilistic inference (pdf) (bibtex)


      T. Gerstenberg, N.D. Goodman:
      Proceedings of the 34th Annual Conference of the Cognitive Science Society
      #inference, #reasoning, #causality, #language of thought, #probabilistic programming

      Back on track: Backtracking in counterfactual reasoning (pdf) (bibtex)


      T. Gerstenberg, C. Bechlivanidis, D.A. Lagnado:
      Proceedings of the 35th Annual Conference of the Cognitive Science Society
      #counterfactuals, #causality, #inference, #backtracking

      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

      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

      The order of things: Inferring causal structure from temporal patterns (pdf) (bibtex)


      N. R. Bramley, T. Gerstenberg, D. A. Lagnado:
      Proceedings of the 36th Annual Conference of the Cognitive Science Society
      #causality, #inference, #learning, #bayesian modeling

      Picture : A Probabilistic Programming Language for Scene Perception (pdf) (doi) (bibtex)


      Tejas D Kulkarni, Pushmeet Kohli, Joshua B Tenenbaum, Vikash Mansinghka:
      Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
      #analysis-by-synthesis, #inference, #deep learning, #inverse vision, #3d vision, #probabilistic programming

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