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DVAE++: Discrete Variational Autoencoders with Overlapping
  Transformations

DVAE++: Discrete Variational Autoencoders with Overlapping Transformations

14 February 2018
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
ArXivPDFHTML

Papers citing "DVAE++: Discrete Variational Autoencoders with Overlapping Transformations"

14 / 14 papers shown
Title
MoFM: A Large-Scale Human Motion Foundation Model
MoFM: A Large-Scale Human Motion Foundation Model
Mohammadreza Baharani
Ghazal Alinezhad Noghre
Armin Danesh Pazho
Gabriel Maldonado
Hamed Tabkhi
AI4CE
113
0
0
08 Feb 2025
$β$-Multivariational Autoencoder for Entangled Representation
  Learning in Video Frames
βββ-Multivariational Autoencoder for Entangled Representation Learning in Video Frames
F. Nouri
R. Bergevin
11
0
0
22 Nov 2022
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain
  MRI with Structured Variational Priors
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors
Anjun Hu
J. Falet
Brennan Nichyporuk
Changjian Shui
Douglas L. Arnold
Sotirios A. Tsaftaris
Tal Arbel
13
2
0
15 Nov 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image
  Fusion
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion
Fabian Duffhauss
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
28
4
0
22 Sep 2022
Fair Inference for Discrete Latent Variable Models
Fair Inference for Discrete Latent Variable Models
Rashidul Islam
Shimei Pan
James R. Foulds
FaML
25
1
0
15 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs
Lossy Image Compression with Quantized Hierarchical VAEs
Zhihao Duan
Ming-Tse Lu
Zhan Ma
F. Zhu
33
43
0
27 Aug 2022
Learning Discrete Structured Variational Auto-Encoder using Natural
  Evolution Strategies
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
Alon Berliner
Guy Rotman
Yossi Adi
Roi Reichart
Tamir Hazan
BDL
DRL
24
4
0
03 May 2022
Controllable and Compositional Generation with Latent-Space Energy-Based
  Models
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie
Arash Vahdat
Anima Anandkumar
17
78
0
21 Oct 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling
Discrete Auto-regressive Variational Attention Models for Text Modeling
Xianghong Fang
Haoli Bai
Jian Li
Zenglin Xu
Michael Lyu
Irwin King
27
3
0
16 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
11
656
0
10 Jun 2021
Probabilistic Circuits for Variational Inference in Discrete Graphical
  Models
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
Andy Shih
Stefano Ermon
TPM
11
20
0
22 Oct 2020
Tracking disease outbreaks from sparse data with Bayesian inference
Tracking disease outbreaks from sparse data with Bayesian inference
Bryan Wilder
M. Mina
Milind Tambe
10
6
0
12 Sep 2020
PixelVAE++: Improved PixelVAE with Discrete Prior
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi
Evgeny Andriyash
W. Vinci
L. Buffoni
Mohammad H. Amin
BDL
DRL
6
33
0
26 Aug 2019
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,543
0
25 Jan 2016
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