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Church: a language for generative models

Church: a language for generative models

Noah D. Goodman
Vikash K. Mansinghka
Daniel M. Roy
Keith Bonawitz
J. Tenenbaum
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Papers citing "Church: a language for generative models"

4 / 4 papers shown
Title
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
Aidan Curtis
Hao Tang
Thiago Veloso
Kevin Ellis
Joshua B. Tenenbaum
Tomás Lozano-Pérez
Leslie Pack Kaelbling
341
0
0
04 May 2025
A Distribution Semantics for Probabilistic Term Rewriting
A Distribution Semantics for Probabilistic Term Rewriting
Germán Vidal
50
0
0
19 Oct 2024
A Convenient Category for Higher-Order Probability Theory
A Convenient Category for Higher-Order Probability Theory
C. Heunen
Ohad Kammar
S. Staton
Hongseok Yang
53
161
0
10 Jan 2017
Deep Amortized Inference for Probabilistic Programs
Deep Amortized Inference for Probabilistic Programs
Daniel E. Ritchie
Paul Horsfall
Noah D. Goodman
TPM
99
82
0
18 Oct 2016

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