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Bayesian Inference with Latent Hamiltonian Neural Networks

Bayesian Inference with Latent Hamiltonian Neural Networks

12 August 2022
Somayajulu L. N. Dhulipala
Yifeng Che
Michael D. Shields
    BDL
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Papers citing "Bayesian Inference with Latent Hamiltonian Neural Networks"

7 / 7 papers shown
Title
An Introduction to Hamiltonian Monte Carlo Method for Sampling
An Introduction to Hamiltonian Monte Carlo Method for Sampling
Nisheeth K. Vishnoi
43
14
0
27 Aug 2021
Active Learning with Multifidelity Modeling for Efficient Rare Event
  Simulation
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation
Somayajulu L. N. Dhulipala
Michael D. Shields
B. Spencer
C. Bolisetti
A. Slaughter
V. Labouré
P. Chakroborty
45
24
0
25 Jun 2021
Hamiltonian neural networks for solving equations of motion
Hamiltonian neural networks for solving equations of motion
M. Mattheakis
David Sondak
Akshunna S. Dogra
P. Protopapas
44
59
0
29 Jan 2020
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Yaofeng Desmond Zhong
Biswadip Dey
Amit Chakraborty
PINN
86
271
0
26 Sep 2019
Generalizing Hamiltonian Monte Carlo with Neural Networks
Generalizing Hamiltonian Monte Carlo with Neural Networks
Daniel Levy
Matthew D. Hoffman
Jascha Narain Sohl-Dickstein
BDL
61
130
0
25 Nov 2017
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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