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2003.02174
Cited By

Deterministic Decoding for Discrete Data in Variational Autoencoders

Deterministic Decoding for Discrete Data in Variational Autoencoders

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020

4 March 2020

Daniil Polykovskiy

Dmitry Vetrov

ArXiv (abs)PDF HTML

Papers citing "Deterministic Decoding for Discrete Data in Variational Autoencoders"

6 / 6 papers shown

Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling

Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling

187

2

0

07 Aug 2025

Likelihood-Free Variational Autoencoders

Likelihood-Free Variational Autoencoders

605

0

0

24 Apr 2025

On the Adversarial Robustness of Generative Autoencoders in the Latent
Space

On the Adversarial Robustness of Generative Autoencoders in the Latent Space

391

6

0

05 Jul 2023

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed
Stochastic Quantization

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic QuantizationInternational Conference on Machine Learning (ICML), 2022

Takashi Shibuya

Wei-Hsiang Liao

Toshimitsu Uesaka

Shusuke Takahashi

Toshiyuki Kumakura

303

97

0

16 May 2022

A Variational Autoencoder for Heterogeneous Temporal and Longitudinal
Data

A Variational Autoencoder for Heterogeneous Temporal and Longitudinal DataInternational Conference on Machine Learning and Applications (ICMLA), 2022

D. Papatheodorou

Harri Lähdesmäki

343

6

0

20 Apr 2022

MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation

MolGrow: A Graph Normalizing Flow for Hierarchical Molecular GenerationAAAI Conference on Artificial Intelligence (AAAI), 2021

Maksim Kuznetsov

Daniil Polykovskiy

244

56

0

03 Feb 2021

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