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The Thermodynamic Variational Objective

The Thermodynamic Variational Objective

28 June 2019
Vaden Masrani
T. Le
Frank Wood
ArXivPDFHTML

Papers citing "The Thermodynamic Variational Objective"

16 / 16 papers shown
Title
Neural Thermodynamic Integration: Free Energies from Energy-based
  Diffusion Models
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
Bálint Máté
François Fleuret
Tristan Bereau
DiffM
46
2
0
04 Jun 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate
  Variational Autoencoders
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
DRL
29
0
0
13 Mar 2024
Reparameterized Variational Rejection Sampling
Reparameterized Variational Rejection Sampling
M. Jankowiak
Du Phan
DRL
BDL
24
1
0
26 Sep 2023
GFlowNets and variational inference
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
136
78
0
02 Oct 2022
Variational Open-Domain Question Answering
Variational Open-Domain Question Answering
Valentin Liévin
Andreas Geert Motzfeldt
Ida Riis Jensen
Ole Winther
OOD
BDL
36
8
0
23 Sep 2022
Unsupervised representation learning with recognition-parametrised
  probabilistic models
Unsupervised representation learning with recognition-parametrised probabilistic models
William I. Walker
Hugo Soulat
Changmin Yu
M. Sahani
BDL
20
2
0
13 Sep 2022
Score-Based Diffusion meets Annealed Importance Sampling
Score-Based Diffusion meets Annealed Importance Sampling
Arnaud Doucet
Will Grathwohl
A. G. Matthews
Heiko Strathmann
DiffM
41
43
0
16 Aug 2022
Fast Offline Policy Optimization for Large Scale Recommendation
Fast Offline Policy Optimization for Large Scale Recommendation
Otmane Sakhi
D. Rohde
Alexandre Gilotte
OffRL
45
3
0
08 Aug 2022
Bounding Evidence and Estimating Log-Likelihood in VAE
Bounding Evidence and Estimating Log-Likelihood in VAE
Lukasz Struski
Marcin Mazur
Pawel Batorski
Przemysław Spurek
Jacek Tabor
21
3
0
19 Jun 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational
  Approximations
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
Oskar Kviman
Harald Melin
Hazal Koptagel
Victor Elvira
J. Lagergren
DRL
75
17
0
22 Feb 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
  Low-Dimensional Latents
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey
Avideep Mukherjee
Piyush Rai
Abhishek Kumar
DiffM
33
114
0
02 Jan 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling
Surrogate Likelihoods for Variational Annealed Importance Sampling
M. Jankowiak
Du Phan
BDL
35
13
0
22 Dec 2021
Nested Variational Inference
Nested Variational Inference
Heiko Zimmermann
Hao Wu
Babak Esmaeili
Jan-Willem van de Meent
BDL
29
20
0
21 Jun 2021
Planning from Pixels in Atari with Learned Symbolic Representations
Planning from Pixels in Atari with Learned Symbolic Representations
Andrea Dittadi
Frederik K. Drachmann
Thomas Bolander
26
11
0
16 Dec 2020
Controlling the Interaction Between Generation and Inference in
  Semi-Supervised Variational Autoencoders Using Importance Weighting
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
G. Felhi
Joseph Leroux
Djamé Seddah
BDL
26
1
0
13 Oct 2020
All in the Exponential Family: Bregman Duality in Thermodynamic
  Variational Inference
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
Rob Brekelmans
Vaden Masrani
Frank Wood
Greg Ver Steeg
Aram Galstyan
22
16
0
01 Jul 2020
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