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VAE Approximation Error: ELBO and Exponential Families
v1v2v3v4 (latest)

VAE Approximation Error: ELBO and Exponential Families

International Conference on Learning Representations (ICLR), 2021
18 February 2021
Alexander Shekhovtsov
D. Schlesinger
B. Flach
    DRL
ArXiv (abs)PDFHTML

Papers citing "VAE Approximation Error: ELBO and Exponential Families"

10 / 10 papers shown
Game-theoretic distributed learning of generative models for heterogeneous data collections
Game-theoretic distributed learning of generative models for heterogeneous data collections
D. Schlesinger
B. Flach
FedMLSyDa
204
0
0
03 Nov 2025
Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model
Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model
Jiawen Li
Jiang Guo
Yuanzhe Li
Zetian Mao
Jiaxing Shen
...
Jinming He
Run Hu
Yaerim Lee
Koji Tsuda
Junichiro Shiomi
DiffM
291
0
0
08 Jun 2025
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic AnalysisInternational Conference on Learning Representations (ICLR), 2025
Qi Chen
Jierui Zhu
Florian Shkurti
DiffM
268
2
0
01 Jun 2025
Beta-Sigma VAE: Separating beta and decoder variance in Gaussian
  variational autoencoder
Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoderInternational Conference on Pattern Recognition (ICPR), 2024
Seunghwan Kim
Seungkyu Lee
DRL
236
2
0
14 Sep 2024
A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models
A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models
Sacha Sokoloski
254
1
0
30 Apr 2024
Symmetric Equilibrium Learning of VAEs
Symmetric Equilibrium Learning of VAEsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
B. Flach
D. Schlesinger
Alexander Shekhovtsov
DRL
252
4
0
19 Jul 2023
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
Bi-fidelity Variational Auto-encoder for Uncertainty QuantificationComputer Methods in Applied Mechanics and Engineering (CMAME), 2023
Nuojin Cheng
Osman Asif Malik
Subhayan De
Stephen Becker
Alireza Doostan
282
13
0
25 May 2023
Break The Spell Of Total Correlation In betaTCVAE
Break The Spell Of Total Correlation In betaTCVAE
Zihao Chen
Qiang Li
Bing Guo
CMLDRL
263
1
0
17 Oct 2022
Posterior Collapse of a Linear Latent Variable Model
Posterior Collapse of a Linear Latent Variable ModelNeural Information Processing Systems (NeurIPS), 2022
Zihao Wang
Liu Ziyin
BDL
274
24
0
09 May 2022
The ELBO of Variational Autoencoders Converges to a Sum of Three
  Entropies
The ELBO of Variational Autoencoders Converges to a Sum of Three EntropiesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Simon Damm
D. Forster
Dmytro Velychko
Zhenwen Dai
Asja Fischer
Jörg Lücke
DRL
597
8
0
28 Oct 2020
1
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