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Hamiltonian Variational Auto-Encoder

Hamiltonian Variational Auto-Encoder

29 May 2018
Anthony L. Caterini
Arnaud Doucet
Dino Sejdinovic
    BDL
    DRL
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Papers citing "Hamiltonian Variational Auto-Encoder"

17 / 17 papers shown
Title
Bayesian Computation in Deep Learning
Bayesian Computation in Deep Learning
Wenlong Chen
Bolian Li
Ruqi Zhang
Yingzhen Li
BDL
75
0
0
25 Feb 2025
Low-Dimensional Representation-Driven TSK Fuzzy System for Feature Selection
Low-Dimensional Representation-Driven TSK Fuzzy System for Feature Selection
Qiong Liu
Mingjie Cai
Qingguo Li
68
0
0
22 Jan 2025
Reparameterized Variational Rejection Sampling
Reparameterized Variational Rejection Sampling
M. Jankowiak
Du Phan
DRL
BDL
16
1
0
26 Sep 2023
Variational Inference for Longitudinal Data Using Normalizing Flows
Variational Inference for Longitudinal Data Using Normalizing Flows
Clément Chadebec
S. Allassonnière
BDL
DRL
24
1
0
24 Mar 2023
Optimization of Annealed Importance Sampling Hyperparameters
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour
F. Pérez-Cruz
21
1
0
27 Sep 2022
A Geometric Perspective on Variational Autoencoders
A Geometric Perspective on Variational Autoencoders
Clément Chadebec
S. Allassonnière
DRL
24
21
0
15 Sep 2022
MixFlows: principled variational inference via mixed flows
MixFlows: principled variational inference via mixed flows
Zuheng Xu
Na Chen
Trevor Campbell
55
8
0
16 May 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Anna Kuzina
Max Welling
Jakub M. Tomczak
AAML
DRL
31
12
0
18 Mar 2022
Bayesian inference via sparse Hamiltonian flows
Bayesian inference via sparse Hamiltonian flows
Na Chen
Zuheng Xu
Trevor Campbell
30
14
0
11 Mar 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling
Surrogate Likelihoods for Variational Annealed Importance Sampling
M. Jankowiak
Du Phan
BDL
18
13
0
22 Dec 2021
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
Greg Ver Steeg
Aram Galstyan
30
13
0
03 Nov 2021
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional
  Latent Space Tuning
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning
A. Scheinker
AI4CE
29
30
0
13 Jul 2021
Nested Variational Inference
Nested Variational Inference
Heiko Zimmermann
Hao Wu
Babak Esmaeili
Jan Willem van de Meent
BDL
18
20
0
21 Jun 2021
Variational Inference with Continuously-Indexed Normalizing Flows
Variational Inference with Continuously-Indexed Normalizing Flows
Anthony L. Caterini
R. Cornish
Dino Sejdinovic
Arnaud Doucet
BDL
19
19
0
10 Jul 2020
Learning Symmetries of Classical Integrable Systems
Learning Symmetries of Classical Integrable Systems
Roberto Bondesan
A. Lamacraft
14
39
0
11 Jun 2019
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
24
103
0
09 Mar 2019
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
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