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Deep Involutive Generative Models for Neural MCMC

Deep Involutive Generative Models for Neural MCMC

26 June 2020
Span Spanbauer
Cameron E. Freer
Vikash K. Mansinghka
    BDL
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Papers citing "Deep Involutive Generative Models for Neural MCMC"

6 / 6 papers shown
Title
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
Tim Schneider
A. Totounferoush
Wolfgang Nowak
Steffen Staab
28
0
0
14 Jun 2023
MixFlows: principled variational inference via mixed flows
MixFlows: principled variational inference via mixed flows
Zuheng Xu
Na Chen
Trevor Campbell
57
8
0
16 May 2022
Path Integral Sampler: a stochastic control approach for sampling
Path Integral Sampler: a stochastic control approach for sampling
Qinsheng Zhang
Yongxin Chen
DiffM
18
101
0
30 Nov 2021
Semi-Empirical Objective Functions for MCMC Proposal Optimization
Semi-Empirical Objective Functions for MCMC Proposal Optimization
Chris Cannella
Vahid Tarokh
31
1
0
03 Jun 2021
Orbital MCMC
Orbital MCMC
Kirill Neklyudov
Max Welling
34
7
0
15 Oct 2020
A Neural Network MCMC sampler that maximizes Proposal Entropy
A Neural Network MCMC sampler that maximizes Proposal Entropy
Zengyi Li
Yubei Chen
Friedrich T. Sommer
27
14
0
07 Oct 2020
1