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Ladder Variational Autoencoders
v1v2v3 (latest)

Ladder Variational Autoencoders

6 February 2016
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
    BDLDRL
ArXiv (abs)PDFHTML

Papers citing "Ladder Variational Autoencoders"

50 / 335 papers shown
Title
μSplit: efficient image decomposition for microscopy data
μSplit: efficient image decomposition for microscopy data
Ashesh Ashesh
Alexander Krull
M. D. Sante
F. Pasqualini
Florian Jug
83
4
0
23 Nov 2022
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
Matthew D. Hoffman
T. Le
Pavel Sountsov
Christopher Suter
Ben Lee
Vikash K. Mansinghka
Rif A. Saurous
BDL
78
14
0
27 Oct 2022
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text
  Classification
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification
Ziwen Liu
J. Grau-Bové
Scott Orr
76
1
0
27 Oct 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in
  Transformer-Based Variational AutoEncoder for Diverse Text Generation
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xingxu Xie
DRL
123
0
0
22 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality
Optimizing Hierarchical Image VAEs for Sample Quality
Eric Luhman
Troy Luhman
DRL
75
5
0
18 Oct 2022
Auto-Encoding Goodness of Fit
Auto-Encoding Goodness of Fit
A. Palmer
Zhiyi Chi
Derek Aguiar
J. Bi
119
1
0
12 Oct 2022
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
231
89
0
02 Oct 2022
Oracle Analysis of Representations for Deep Open Set Detection
Oracle Analysis of Representations for Deep Open Set Detection
Risheek Garrepalli
AAML
117
5
0
22 Sep 2022
Amortized Variational Inference: A Systematic Review
Amortized Variational Inference: A Systematic Review
Ankush Ganguly
Sanjana Jain
Ukrit Watchareeruetai
90
17
0
22 Sep 2022
Gromov-Wasserstein Autoencoders
Gromov-Wasserstein Autoencoders
Nao Nakagawa
Ren Togo
Takahiro Ogawa
Miki Haseyama
GANDRL
91
13
0
15 Sep 2022
Unifying Generative Models with GFlowNets and Beyond
Unifying Generative Models with GFlowNets and Beyond
Dinghuai Zhang
Ricky T. Q. Chen
Nikolay Malkin
Yoshua Bengio
BDLAI4CE
120
26
0
06 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs
Lossy Image Compression with Quantized Hierarchical VAEs
Zhihao Duan
Ming Lu
Zhan Ma
Fengqing Zhu
89
45
0
27 Aug 2022
Understanding Diffusion Models: A Unified Perspective
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
DiffM
106
347
0
25 Aug 2022
Semi-supervised classification using a supervised autoencoder for
  biomedical applications
Semi-supervised classification using a supervised autoencoder for biomedical applications
Cyprien Gille
F. Guyard
Michel Barlaud
46
3
0
22 Aug 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent
  Variable Inference for Text Generation
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xing Xie
118
21
0
13 Jul 2022
Latent Variable Modelling Using Variational Autoencoders: A survey
Latent Variable Modelling Using Variational Autoencoders: A survey
Vasanth Kalingeri
CMLDRL
65
2
0
20 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
98
85
0
07 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical
  Variational Autoencoder
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder
F. Csikor
B. Meszéna
Bence Szabó
Gergő Orbán
BDLDRL
98
5
0
01 Jun 2022
Structured Uncertainty in the Observation Space of Variational
  Autoencoders
Structured Uncertainty in the Observation Space of Variational Autoencoders
James A. G. Langley
M. Monteiro
Charles Jones
Nick Pawlowski
Ben Glocker
CMLOODBDLDRL
67
2
0
25 May 2022
Physics-aware Reduced-order Modeling of Transonic Flow via
  $β$-Variational Autoencoder
Physics-aware Reduced-order Modeling of Transonic Flow via βββ-Variational Autoencoder
Yu-Eop Kang
Sunwoong Yang
K. Yee
DRLAI4CE
69
25
0
02 May 2022
Learn from Unpaired Data for Image Restoration: A Variational Bayes
  Approach
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach
Dihan Zheng
Xiaowen Zhang
Kaisheng Ma
Chenglong Bao
DiffM
75
23
0
21 Apr 2022
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical
  VAE
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE
Xiaoyu Bie
Wen Guo
Simon Leglaive
Laurent Girin
Francesc Moreno-Noguer
Xavier Alameda-Pineda
VGen3DH
105
13
0
04 Apr 2022
Efficient-VDVAE: Less is more
Efficient-VDVAE: Less is more
Louay Hazami
Rayhane Mama
Ragavan Thurairatnam
BDL
104
28
0
25 Mar 2022
Long Document Summarization with Top-down and Bottom-up Inference
Long Document Summarization with Top-down and Bottom-up Inference
Bo Pang
Erik Nijkamp
Wojciech Kry'sciñski
Silvio Savarese
Yingbo Zhou
Caiming Xiong
RALMBDL
86
56
0
15 Mar 2022
The Transitive Information Theory and its Application to Deep Generative
  Models
The Transitive Information Theory and its Application to Deep Generative Models
Trung Ngo Trong
Najwa Laabid
Ville Hautamaki
M. Heinäniemi
DRL
95
0
0
09 Mar 2022
Shape constrained CNN for segmentation guided prediction of myocardial
  shape and pose parameters in cardiac MRI
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
Sofie Tilborghs
J. Bogaert
F. Maes
67
6
0
02 Mar 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning
A Brief Overview of Unsupervised Neural Speech Representation Learning
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
Lars Maaløe
Christian Igel
BDLAI4TSSSL
92
11
0
01 Mar 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
134
17
0
22 Feb 2022
An Introduction to Neural Data Compression
An Introduction to Neural Data Compression
Yibo Yang
Stephan Mandt
Lucas Theis
147
125
0
14 Feb 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models
  and Hamiltonian Monte Carlo
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
I. Peis
Chao Ma
José Miguel Hernández-Lobato
BDLDRL
90
15
0
09 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
177
48
0
01 Feb 2022
Posterior Matching for Arbitrary Conditioning
Posterior Matching for Arbitrary Conditioning
R. Strauss
Junier B. Oliva
CMLBDL
92
6
0
28 Jan 2022
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory
  Prediction
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction
Mihee Lee
Samuel S. Sohn
Seonghyeon Moon
Sejong Yoon
Mubbasir Kapadia
Vladimir Pavlovic
57
67
0
18 Jan 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
126
121
0
02 Jan 2022
Multimodal Conditional Image Synthesis with Product-of-Experts GANs
Multimodal Conditional Image Synthesis with Product-of-Experts GANs
Xun Huang
Arun Mallya
Ting-Chun Wang
Xuan Li
DiffM
109
92
0
09 Dec 2021
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative
  Modelling of Human Motion
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion
Anthony Bourached
Robert J. Gray
Xiaodong Guan
Ryan-Rhys Griffiths
A. Jha
P. Nachev
3DHDRL
65
1
0
24 Nov 2021
TopicNet: Semantic Graph-Guided Topic Discovery
TopicNet: Semantic Graph-Guided Topic Discovery
Zhibin Duan
Yishi Xu
Bo Chen
Dongsheng Wang
Chaojie Wang
Mingyuan Zhou
BDL
89
15
0
27 Oct 2021
Relay Variational Inference: A Method for Accelerated Encoderless VI
Relay Variational Inference: A Method for Accelerated Encoderless VI
Amir Zadeh
Santiago Benoit
Louis-Philippe Morency
DRL
97
1
0
26 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
Giorgio Giannone
Fattane Pourakpour
DRLBDL
57
10
0
23 Oct 2021
Boxhead: A Dataset for Learning Hierarchical Representations
Boxhead: A Dataset for Learning Hierarchical Representations
Yukun Chen
Andrea Dittadi
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
CML
182
2
0
07 Oct 2021
Fairness without the sensitive attribute via Causal Variational
  Autoencoder
Fairness without the sensitive attribute via Causal Variational Autoencoder
Vincent Grari
Sylvain Lamprier
Marcin Detyniecki
70
30
0
10 Sep 2021
Learning Interpretable Representations of Entanglement in Quantum Optics
  Experiments using Deep Generative Models
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
Daniel Flam-Shepherd
Tony C Wu
Xuemei Gu
Alba Cervera-Lierta
Mario Krenn
Alán Aspuru-Guzik
DRL
64
21
0
06 Sep 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification
  Performance
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Fahim Faisal Niloy
M. A. Amin
A. K. M. Mahbubur Rahman
A. Ali
DRL
51
0
0
29 Aug 2021
Learning Disentangled Representations in the Imaging Domain
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OODDRL
196
72
0
26 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for
  Autoregressive Image Synthesis
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser
Robin Rombach
A. Blattmann
Bjorn Ommer
DiffM
115
162
0
19 Aug 2021
Regularized Sequential Latent Variable Models with Adversarial Neural
  Networks
Regularized Sequential Latent Variable Models with Adversarial Neural Networks
Jin Huang
Ming Xiao
BDLGNNDRLGAN
41
3
0
10 Aug 2021
Explainable artificial intelligence (XAI) in deep learning-based medical
  image analysis
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden
Hugo J. Kuijf
K. Gilhuijs
M. Viergever
XAI
106
677
0
22 Jul 2021
Parameterization of Forced Isotropic Turbulent Flow using Autoencoders
  and Generative Adversarial Networks
Parameterization of Forced Isotropic Turbulent Flow using Autoencoders and Generative Adversarial Networks
Kanishk
Tanishk Nandal
Prince Tyagi
R. Singh
GANOODAI4CE
28
0
0
08 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
87
1
0
05 Jul 2021
Relational VAE: A Continuous Latent Variable Model for Graph Structured
  Data
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
Charilaos Mylonas
I. Abdallah
Eleni Chatzi
BDL
59
1
0
30 Jun 2021
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