ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1711.01558
  4. Cited By
Wasserstein Auto-Encoders

Wasserstein Auto-Encoders

5 November 2017
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
    DRL
ArXivPDFHTML

Papers citing "Wasserstein Auto-Encoders"

50 / 191 papers shown
Title
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections
Clément Bonet
Laetitia Chapel
Lucas Drumetz
Nicolas Courty
13
14
0
18 Nov 2022
Generative Adversarial Nets: Can we generate a new dataset based on only
  one training set?
Generative Adversarial Nets: Can we generate a new dataset based on only one training set?
Lan V. Truong
GAN
OOD
21
0
0
12 Oct 2022
Auto-Encoding Goodness of Fit
Auto-Encoding Goodness of Fit
A. Palmer
Zhiyi Chi
Derek Aguiar
J. Bi
41
1
0
12 Oct 2022
Hierarchical Sliced Wasserstein Distance
Hierarchical Sliced Wasserstein Distance
Khai Nguyen
Tongzheng Ren
Huy Nguyen
Litu Rout
T. Nguyen
Nhat Ho
33
19
0
27 Sep 2022
A Geometric Perspective on Variational Autoencoders
A Geometric Perspective on Variational Autoencoders
Clément Chadebec
S. Allassonnière
DRL
29
21
0
15 Sep 2022
Gromov-Wasserstein Autoencoders
Gromov-Wasserstein Autoencoders
Nao Nakagawa
Ren Togo
Takahiro Ogawa
Miki Haseyama
GAN
DRL
26
11
0
15 Sep 2022
StreamNet: A WAE for White Matter Streamline Analysis
StreamNet: A WAE for White Matter Streamline Analysis
Andrew Lizarraga
K. Narr
Kristy A. Donald
S. H. Joshi
25
4
0
03 Sep 2022
Synthetic Data in Human Analysis: A Survey
Synthetic Data in Human Analysis: A Survey
Indu Joshi
Marcel Grimmer
Christian Rathgeb
Christoph Busch
F. Brémond
A. Dantcheva
35
46
0
19 Aug 2022
Learning Dynamic Manipulation Skills from Haptic-Play
Learning Dynamic Manipulation Skills from Haptic-Play
Taeyoon Lee
D. Sung
Kyoung-Whan Choi
Choong-Keun Lee
Changwoo Park
Keunjun Choi
32
3
0
28 Jul 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn
  Divergence
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
42
27
0
18 Jul 2022
Comparing the latent space of generative models
Comparing the latent space of generative models
Andrea Asperti
Valerio Tonelli
DRL
26
12
0
14 Jul 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Piotr Tempczyk
Rafał Michaluk
Łukasz Garncarek
Przemysław Spurek
Jacek Tabor
Adam Goliñski
35
26
0
29 Jun 2022
Spherical Sliced-Wasserstein
Spherical Sliced-Wasserstein
Clément Bonet
P. Berg
Nicolas Courty
Françcois Septier
Lucas Drumetz
Minh Pham
27
27
0
17 Jun 2022
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
D. Zimny
Joanna Waczyñska
Tomasz Trzciñski
P. Spurek
32
18
0
02 Jun 2022
Learning Invariant Visual Representations for Compositional Zero-Shot
  Learning
Learning Invariant Visual Representations for Compositional Zero-Shot Learning
Tian Zhang
Kongming Liang
Ruoyi Du
Xian Sun
Zhanyu Ma
Jun Guo
CoGe
BDL
31
32
0
01 Jun 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models
GlanceNets: Interpretabile, Leak-proof Concept-based Models
Emanuele Marconato
Andrea Passerini
Stefano Teso
106
64
0
31 May 2022
Statistical inference with regularized optimal transport
Statistical inference with regularized optimal transport
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
OT
44
34
0
09 May 2022
Attention Consistency on Visual Corruptions for Single-Source Domain
  Generalization
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
Ilke Çugu
Massimiliano Mancini
Yanbei Chen
Zeynep Akata
OOD
16
44
0
27 Apr 2022
Lost in Latent Space: Disentangled Models and the Challenge of
  Combinatorial Generalisation
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation
M. Montero
J. Bowers
Rui Ponte Costa
Casimir J. H. Ludwig
Gaurav Malhotra
DRL
CoGe
24
11
0
05 Apr 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to
  Convolution
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
Khai Nguyen
Nhat Ho
24
25
0
04 Apr 2022
PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic
  differential equations
PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations
Weiheng Zhong
Hadi Meidani
DRL
22
36
0
21 Mar 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of
  Pretrained Models to Classification Tasks
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
Nan Ding
Xi Chen
Tomer Levinboim
Soravit Changpinyo
Radu Soricut
22
26
0
10 Mar 2022
Variational Autoencoders Without the Variation
Variational Autoencoders Without the Variation
Gregory A. Daly
J. Fieldsend
G. Tabor
23
2
0
01 Mar 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNN
AI4CE
41
55
0
18 Feb 2022
WATCH: Wasserstein Change Point Detection for High-Dimensional Time
  Series Data
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
Kamil Faber
Roberto Corizzo
B. Sniezynski
Michael Baron
Nathalie Japkowicz
AI4TS
23
22
0
18 Jan 2022
Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection
Yurong Chen
Hui Zhang
Yaonan Wang
Q. M. J. Wu
Yimin Yang
12
0
0
20 Dec 2021
Detecting Model Misspecification in Amortized Bayesian Inference with
  Neural Networks
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks
Marvin Schmitt
Paul-Christian Bürkner
Ullrich Kothe
Stefan T. Radev
24
34
0
16 Dec 2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Yuzhe Lu
Xinran Liu
Andrea Soltoggio
Soheil Kolouri
8
7
0
11 Dec 2021
Forward Operator Estimation in Generative Models with Kernel Transfer
  Operators
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
Z. Huang
Rudrasis Chakraborty
Vikas Singh
GAN
14
3
0
01 Dec 2021
Zero-shot Singing Technique Conversion
Zero-shot Singing Technique Conversion
Brendan O'Connor
S. Dixon
Georgy Fazekas
27
5
0
16 Nov 2021
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical
  Analysis
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
Sloan Nietert
Rachel Cummings
Ziv Goldfeld
OT
12
26
0
02 Nov 2021
Probabilistic Autoencoder using Fisher Information
Probabilistic Autoencoder using Fisher Information
J. Zacherl
Philipp Frank
T. Ensslin
EgoV
AI4CE
25
2
0
28 Oct 2021
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image
  Translation
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
Wenju Xu
Guanghui Wang
38
14
0
21 Oct 2021
Generative Modeling with Optimal Transport Maps
Generative Modeling with Optimal Transport Maps
Litu Rout
Alexander Korotin
Evgeny Burnaev
OT
DiffM
122
65
0
06 Oct 2021
Towards Better Data Augmentation using Wasserstein Distance in
  Variational Auto-encoder
Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder
Zichuan Chen
Peng Liu
DRL
13
0
0
30 Sep 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational
  AutoEncoders
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
Xiaoyu Chen
Chen Gong
Qiang He
Xinwen Hou
Yu Liu
28
1
0
22 Sep 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Pierre Colombo
Guillaume Staerman
Chloé Clavel
Pablo Piantanida
27
41
0
27 Aug 2021
Entropic Gromov-Wasserstein between Gaussian Distributions
Entropic Gromov-Wasserstein between Gaussian Distributions
Khang Le
Dung D. Le
Huy Nguyen
Dat Do
Tung Pham
Nhat Ho
OT
24
18
0
24 Aug 2021
On Multimarginal Partial Optimal Transport: Equivalent Forms and
  Computational Complexity
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
Khang Le
Huy Nguyen
Tung Pham
Nhat Ho
OT
26
8
0
18 Aug 2021
High-Dimensional Distribution Generation Through Deep Neural Networks
High-Dimensional Distribution Generation Through Deep Neural Networks
Dmytro Perekrestenko
Léandre Eberhard
Helmut Bölcskei
OOD
30
6
0
26 Jul 2021
Estimation of Stationary Optimal Transport Plans
Estimation of Stationary Optimal Transport Plans
Kevin O'Connor
K. Mcgoff
A. Nobel
OT
24
3
0
25 Jul 2021
Improving Variational Autoencoder based Out-of-Distribution Detection
  for Embedded Real-time Applications
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications
Yeli Feng
Daniel Jun Xian Ng
Arvind Easwaran
OODD
31
17
0
25 Jul 2021
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for
  Clustering Single-cell Gene Expression Data
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
A. Mondal
Himanshu Asnani
Parag Singla
A. Prathosh
UQCV
24
4
0
16 Jul 2021
The Benchmark Lottery
The Benchmark Lottery
Mostafa Dehghani
Yi Tay
A. Gritsenko
Zhe Zhao
N. Houlsby
Fernando Diaz
Donald Metzler
Oriol Vinyals
42
89
0
14 Jul 2021
Deep Extrapolation for Attribute-Enhanced Generation
Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan
Ali Madani
Ben Krause
Nikhil Naik
24
24
0
07 Jul 2021
Symmetric Wasserstein Autoencoders
Symmetric Wasserstein Autoencoders
S. Sun
Hong Guo
DiffM
GAN
26
0
0
24 Jun 2021
Deep Generative Learning via Schrödinger Bridge
Deep Generative Learning via Schrödinger Bridge
Gefei Wang
Yuling Jiao
Qiang Xu
Yang Wang
Can Yang
DiffM
OT
18
92
0
19 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
30
118
0
12 Jun 2021
Large-scale optimal transport map estimation using projection pursuit
Large-scale optimal transport map estimation using projection pursuit
Cheng Meng
Y. Ke
Jingyi Zhang
Mengrui Zhang
Wenxuan Zhong
Ping Ma
OT
15
38
0
09 Jun 2021
Scalable Personalised Item Ranking through Parametric Density Estimation
Scalable Personalised Item Ranking through Parametric Density Estimation
Riku Togashi
Masahiro Kato
Mayu Otani
T. Sakai
Shiníchi Satoh
38
0
0
11 May 2021
Previous
1234
Next