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1711.01558
Cited By
Wasserstein Auto-Encoders
5 November 2017
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
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Papers citing
"Wasserstein Auto-Encoders"
50 / 191 papers shown
Title
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?
Lan V. Truong
GAN
OOD
21
0
0
12 Oct 2022
Auto-Encoding Goodness of Fit
A. Palmer
Zhiyi Chi
Derek Aguiar
J. Bi
41
1
0
12 Oct 2022
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
Clément Chadebec
S. Allassonnière
DRL
29
21
0
15 Sep 2022
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
Andrew Lizarraga
K. Narr
Kristy A. Donald
S. H. Joshi
25
4
0
03 Sep 2022
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
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
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
42
27
0
18 Jul 2022
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
Piotr Tempczyk
Rafał Michaluk
Łukasz Garncarek
Przemysław Spurek
Jacek Tabor
Adam Goliñski
35
26
0
29 Jun 2022
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
D. Zimny
Joanna Waczyñska
Tomasz Trzciñski
P. Spurek
32
18
0
02 Jun 2022
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
Emanuele Marconato
Andrea Passerini
Stefano Teso
106
64
0
31 May 2022
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
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
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
Khai Nguyen
Nhat Ho
24
25
0
04 Apr 2022
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
Nan Ding
Xi Chen
Tomer Levinboim
Soravit Changpinyo
Radu Soricut
22
26
0
10 Mar 2022
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
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
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
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
Yuzhe Lu
Xinran Liu
Andrea Soltoggio
Soheil Kolouri
8
7
0
11 Dec 2021
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
Brendan O'Connor
S. Dixon
Georgy Fazekas
27
5
0
16 Nov 2021
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
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
Wenju Xu
Guanghui Wang
38
14
0
21 Oct 2021
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
Zichuan Chen
Peng Liu
DRL
13
0
0
30 Sep 2021
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
Pierre Colombo
Guillaume Staerman
Chloé Clavel
Pablo Piantanida
27
41
0
27 Aug 2021
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
Khang Le
Huy Nguyen
Tung Pham
Nhat Ho
OT
26
8
0
18 Aug 2021
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
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
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
A. Mondal
Himanshu Asnani
Parag Singla
A. Prathosh
UQCV
24
4
0
16 Jul 2021
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
Alvin Chan
Ali Madani
Ben Krause
Nikhil Naik
24
24
0
07 Jul 2021
Symmetric Wasserstein Autoencoders
S. Sun
Hong Guo
DiffM
GAN
26
0
0
24 Jun 2021
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
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
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
Riku Togashi
Masahiro Kato
Mayu Otani
T. Sakai
Shiníchi Satoh
38
0
0
11 May 2021
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