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Field-Level Inference with Microcanonical Langevin Monte Carlo

Field-Level Inference with Microcanonical Langevin Monte Carlo

Adrian E Bayer
U. Seljak
Chirag Modi
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Papers citing "Field-Level Inference with Microcanonical Langevin Monte Carlo"

8 / 8 papers shown
Title
Fluctuation without dissipation: Microcanonical Langevin Monte Carlo
Fluctuation without dissipation: Microcanonical Langevin Monte Carlo
Jakob Robnik
U. Seljak
65
7
0
31 Mar 2023
Microcanonical Hamiltonian Monte Carlo
Microcanonical Hamiltonian Monte Carlo
Jakob Robnik
G. Luca
E. Silverstein
U. Seljak
57
16
0
16 Dec 2022
Reconstructing the Universe with Variational self-Boosted Sampling
Reconstructing the Universe with Variational self-Boosted Sampling
Chirag Modi
Yin Li
David M. Blei
31
9
0
28 Jun 2022
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
G. Luca
E. Silverstein
58
10
0
26 Jan 2022
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
Greg Ver Steeg
Aram Galstyan
55
15
0
03 Nov 2021
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
Matthew Hoffman
Pavel Sountsov
Joshua V. Dillon
I. Langmore
Dustin Tran
Srinivas Vasudevan
BDL
50
106
0
09 Mar 2019
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
290
3,280
0
09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
162
4,297
0
18 Nov 2011

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