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1610.05735
Cited By
Deep Amortized Inference for Probabilistic Programs
18 October 2016
Daniel E. Ritchie
Paul Horsfall
Noah D. Goodman
TPM
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Papers citing
"Deep Amortized Inference for Probabilistic Programs"
15 / 15 papers shown
Title
Amortized Bayesian Multilevel Models
Daniel Habermann
Marvin Schmitt
Lars Kühmichel
Andreas Bulling
Stefan T. Radev
Paul-Christian Bürkner
67
3
0
23 Aug 2024
Graphically Structured Diffusion Models
Christian Weilbach
William Harvey
Frank D. Wood
DiffM
35
7
0
20 Oct 2022
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference
Wonyeol Lee
Xavier Rival
Hongseok Yang
18
9
0
22 Aug 2022
Variational Deep Image Restoration
Jae Woong Soh
N. Cho
SupR
48
39
0
03 Jul 2022
Transformers Can Do Bayesian Inference
Samuel G. Müller
Noah Hollmann
Sebastian Pineda Arango
Josif Grabocka
Frank Hutter
BDL
UQCV
22
140
0
20 Dec 2021
Nested Variational Inference
Heiko Zimmermann
Hao Wu
Babak Esmaeili
Jan-Willem van de Meent
BDL
24
20
0
21 Jun 2021
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
Yuanshuo Zhou
Hongseok Yang
Yee Whye Teh
Tom Rainforth
TPM
29
19
0
29 Oct 2019
Monte Carlo Gradient Estimation in Machine Learning
S. Mohamed
Mihaela Rosca
Michael Figurnov
A. Mnih
26
397
0
25 Jun 2019
Meta-learning of Sequential Strategies
Pedro A. Ortega
Jane X. Wang
Mark Rowland
Tim Genewein
Z. Kurth-Nelson
...
Yee Whye Teh
H. V. Hasselt
Nando de Freitas
M. Botvinick
Shane Legg
OffRL
22
96
0
08 May 2019
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Joeri Hermans
Volodimir Begy
Gilles Louppe
29
20
0
10 Mar 2019
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
97
3,078
0
04 Jun 2018
Learning 3D Shape Completion under Weak Supervision
David Stutz
Andreas Geiger
3DPC
SSL
35
106
0
18 May 2018
Faithful Inversion of Generative Models for Effective Amortized Inference
Stefan Webb
Adam Goliñski
R. Zinkov
Siddharth Narayanaswamy
Tom Rainforth
Yee Whye Teh
Frank D. Wood
TPM
26
46
0
01 Dec 2017
Deep Probabilistic Programming
Dustin Tran
Matthew D. Hoffman
Rif A. Saurous
E. Brevdo
Kevin Patrick Murphy
David M. Blei
BDL
33
193
0
13 Jan 2017
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
34
2,746
0
20 Feb 2015
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