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Simple and Effective VAE Training with Calibrated Decoders
v1v2v3 (latest)

Simple and Effective VAE Training with Calibrated Decoders

International Conference on Machine Learning (ICML), 2024
23 June 2020
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "Simple and Effective VAE Training with Calibrated Decoders"

50 / 50 papers shown
Title
Lung-DDPM+: Efficient Thoracic CT Image Synthesis using Diffusion Probabilistic Model
Lung-DDPM+: Efficient Thoracic CT Image Synthesis using Diffusion Probabilistic Model
Yifan Jiang
Ahmad Shariftabrizi
Venkata Manem
DiffMMedIm
47
0
0
12 Aug 2025
VIVAT: Virtuous Improving VAE Training through Artifact Mitigation
VIVAT: Virtuous Improving VAE Training through Artifact Mitigation
Lev Novitskiy
Viacheslav Vasilev
Maria Kovaleva
V. Arkhipkin
Denis Dimitrov
VGen
56
1
0
09 Jun 2025
Beyond Diagonal Covariance: Flexible Posterior VAEs via Free-Form Injective Flows
Beyond Diagonal Covariance: Flexible Posterior VAEs via Free-Form Injective Flows
Peter Sorrenson
Lukas Lührs
Hans Olischläger
Ullrich Kothe
120
0
0
02 Jun 2025
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
Qi Chen
Jierui Zhu
Florian Shkurti
DiffM
157
2
0
01 Jun 2025
Likelihood-Free Variational Autoencoders
Likelihood-Free Variational Autoencoders
Chen Xu
Qiang Wang
Lijun Sun
DiffMDRL
297
0
0
24 Apr 2025
MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
Lixing Xiao
Shunlin Lu
Huaijin Pi
Bin Ji
Liang Pan
Yueer Zhou
Ziyong Feng
Xiaowei Zhou
Sida Peng
Jingbo Wang
DiffMVGen
217
13
0
19 Mar 2025
Beta-Sigma VAE: Separating beta and decoder variance in Gaussian
  variational autoencoder
Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoder
Seunghwan Kim
Seungkyu Lee
DRL
107
1
0
14 Sep 2024
Causal Effect Estimation using identifiable Variational AutoEncoder with
  Latent Confounders and Post-Treatment Variables
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables
Yang Xie
Ziqi Xu
Debo Cheng
Jiuyong Li
Lin Liu
Yinghao Zhang
Zaiwen Feng
CMLBDL
85
0
0
13 Aug 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference
  algorithm
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
Eli Sennesh
Hao Wu
Tommaso Salvatori
104
3
0
11 Aug 2024
Towards diffusion models for large-scale sea-ice modelling
Towards diffusion models for large-scale sea-ice modelling
Tobias S. Finn
Charlotte Durand
A. Farchi
Marc Bocquet
J. Brajard
156
3
0
26 Jun 2024
Rényi Neural Processes
Rényi Neural Processes
Xuesong Wang
He Zhao
Edwin V. Bonilla
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230
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25 May 2024
Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation Tasks
Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation Tasks
G. Sejnova
M. Vavrecka
Karla Stepanova
167
0
0
02 Apr 2024
Learning to Infer Generative Template Programs for Visual Concepts
Learning to Infer Generative Template Programs for Visual Concepts
R. K. Jones
S. Chaudhuri
Daniel E. Ritchie
NAIBDL
141
3
0
20 Mar 2024
Deep Generative Domain Adaptation with Temporal Relation Knowledge for
  Cross-User Activity Recognition
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition
Xiaozhou Ye
Kevin I-Kai Wang
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84
4
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12 Mar 2024
Topic Modeling as Multi-Objective Contrastive Optimization
Topic Modeling as Multi-Objective Contrastive Optimization
Thong Nguyen
Xiaobao Wu
Xinshuai Dong
Cong-Duy Nguyen
See-Kiong Ng
Anh Tuan Luu
170
9
0
12 Feb 2024
Explain Variance of Prediction in Variational Time Series Models for
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Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction
Jiacheng Liu
Jaideep Srivastava
126
0
0
09 Feb 2024
Modeling Complex Disease Trajectories using Deep Generative Models with
  Semi-Supervised Latent Processes
Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes
Cécile Trottet
Manuel Schürch
Ahmed Allam
Imon Barua
L. Petelytska
Oliver Distler
A. Hoffmann-Vold
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135
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14 Nov 2023
Matching aggregate posteriors in the variational autoencoder
Matching aggregate posteriors in the variational autoencoder
Surojit Saha
Sarang Joshi
Ross T. Whitaker
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111
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13 Nov 2023
PoseFix: Correcting 3D Human Poses with Natural Language
PoseFix: Correcting 3D Human Poses with Natural Language
Ginger Delmas
Philippe Weinzaepfel
Francesc Moreno-Noguer
Grégory Rogez
125
36
0
15 Sep 2023
Improving Explainability of Disentangled Representations using
  Multipath-Attribution Mappings
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
Lukas Klein
João B. S. Carvalho
Mennatallah El-Assady
Paolo Penna
J. M. Buhmann
Paul F. Jaeger
85
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Unbiased Learning of Deep Generative Models with Structured Discrete
  Representations
Unbiased Learning of Deep Generative Models with Structured Discrete Representations
H. Bendekgey
Gabriel Hope
Erik B. Sudderth
OCLBDLDRL
112
1
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14 Jun 2023
Variational Diffusion Auto-encoder: Latent Space Extraction from
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Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models
Georgios Batzolis
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Carola-Bibiane Schönlieb
DiffM
82
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PriorCVAE: scalable MCMC parameter inference with Bayesian deep
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PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling
Elizaveta Semenova
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167
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Adversarially Contrastive Estimation of Conditional Neural Processes
Adversarially Contrastive Estimation of Conditional Neural Processes
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97
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Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Juhan Bae
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Michael Ruan
Eric Wang
S. Hasegawa
Jimmy Ba
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DRL
123
20
0
07 Dec 2022
Distinguishing representational geometries with controversial stimuli:
  Bayesian experimental design and its application to face dissimilarity
  judgments
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments
Tal Golan
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107
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Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Kiarash Zahirnia
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Ke Li
150
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On the failure of variational score matching for VAE models
On the failure of variational score matching for VAE models
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DRL
102
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PoseScript: Linking 3D Human Poses and Natural Language
PoseScript: Linking 3D Human Poses and Natural Language
Ginger Delmas
Philippe Weinzaepfel
Thomas Lucas
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Grégory Rogez
3DH
115
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0
21 Oct 2022
Gromov-Wasserstein Autoencoders
Gromov-Wasserstein Autoencoders
Nao Nakagawa
Ren Togo
Takahiro Ogawa
Miki Haseyama
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139
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15 Sep 2022
A Survey on Generative Diffusion Model
A Survey on Generative Diffusion Model
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
478
311
0
06 Sep 2022
Long-term Causal Effects Estimation via Latent Surrogates Representation
  Learning
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning
Ruichu Cai
Weilin Chen
Zeqin Yang
Shu Wan
Chen Zheng
Xiaoqing Yang
Jiecheng Guo
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158
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Planning with RL and episodic-memory behavioral priors
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Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Patrik Reizinger
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Julius von Kügelgen
Dominik Zietlow
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192
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RENs: Relevance Encoding Networks
RENs: Relevance Encoding Networks
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Synthesizing Adversarial Visual Scenarios for Model-Based Robotic
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Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control
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Camera-Conditioned Stable Feature Generation for Isolated Camera
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Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification
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Stochastic Video Prediction with Structure and Motion
Stochastic Video Prediction with Structure and Motion
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Beta-VAE Reproducibility: Challenges and Extensions
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Disentangled representations: towards interpretation of sex
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Disentangled representations: towards interpretation of sex determination from hip bone
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S. Faisan
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Simultaneous Multivariate Forecast of Space Weather Indices using Deep
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Edward J. E. Brown
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Generating Multivariate Load States Using a Conditional Variational
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Re-parameterizing VAEs for stability
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Uncertainty Estimation Using Riemannian Model Dynamics for Offline
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Imitative Planning using Conditional Normalizing Flow
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