Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1711.01558
Cited By
Wasserstein Auto-Encoders
5 November 2017
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Wasserstein Auto-Encoders"
50 / 188 papers shown
Title
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
41
480
0
08 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
54
1,170
0
02 Mar 2021
Neuron Coverage-Guided Domain Generalization
Chris Xing Tian
Haoliang Li
Xiaofei Xie
Yang Liu
Shiqi Wang
23
35
0
27 Feb 2021
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
Jiachen Li
Hengbo Ma
Zhihao Zhang
Jinning Li
M. Tomizuka
55
68
0
18 Feb 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
Khang Le
Huy Le Nguyen
Quang H. Nguyen
Tung Pham
Hung Bui
Nhat Ho
OT
28
37
0
13 Feb 2021
Learning Audio-Visual Correlations from Variational Cross-Modal Generation
Ye Zhu
Yu Wu
Hugo Latapie
Yi Yang
Yan Yan
SSL
16
20
0
05 Feb 2021
Smooth
p
p
p
-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
Sloan Nietert
Ziv Goldfeld
Kengo Kato
34
30
0
11 Jan 2021
Probabilistic Outlier Detection and Generation
S. Rizzo
L. Pang
Yixian Chen
S. Chawla
13
0
0
22 Dec 2020
Making transport more robust and interpretable by moving data through a small number of anchor points
Chi-Heng Lin
Mehdi Azabou
Eva L. Dyer
OT
OOD
27
22
0
21 Dec 2020
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
51
56
0
21 Dec 2020
A case for new neural network smoothness constraints
Mihaela Rosca
T. Weber
A. Gretton
S. Mohamed
AAML
30
48
0
14 Dec 2020
Generative Capacity of Probabilistic Protein Sequence Models
Francisco McGee
Quentin Novinger
R. Levy
Vincenzo Carnevale
A. Haldane
27
34
0
03 Dec 2020
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
Madhur Panwar
Shashank Shailabh
Milan Aggarwal
Balaji Krishnamurthy
15
24
0
02 Dec 2020
Optimizing Molecules using Efficient Queries from Property Evaluations
Samuel C. Hoffman
Vijil Chenthamarakshan
Kahini Wadhawan
Pin-Yu Chen
Payel Das
37
68
0
03 Nov 2020
Neural Topic Modeling by Incorporating Document Relationship Graph
Deyu Zhou
Xuemeng Hu
Rui Wang
14
22
0
29 Sep 2020
Generative Model without Prior Distribution Matching
Cong Geng
Jia Wang
L. Chen
Zhiyong Gao
GAN
118
1
0
23 Sep 2020
Generative models with kernel distance in data space
Szymon Knop
Marcin Mazur
P. Spurek
Jacek Tabor
Igor T. Podolak
GAN
SyDa
19
11
0
15 Sep 2020
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau
Remi Piche-Taillefer
Rémi Tachet des Combes
Ioannis Mitliagkas
DiffM
24
125
0
11 Sep 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xuan Li
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
28
153
0
06 Aug 2020
Invertible Zero-Shot Recognition Flows
Yuming Shen
Jie Qin
Lei Huang
BDL
AI4CE
19
99
0
09 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching
Tianyu Pang
Kun Xu
Chongxuan Li
Yang Song
Stefano Ermon
Jun Zhu
DiffM
31
53
0
07 Jul 2020
End-to-end Sinkhorn Autoencoder with Noise Generator
Kamil Deja
Jan Dubiñski
Piotr W. Nowak
S. Wenzel
Tomasz Trzciñski
SyDa
22
22
0
11 Jun 2020
Probabilistic Autoencoder
Vanessa Böhm
U. Seljak
UQCV
BDL
DRL
16
32
0
09 Jun 2020
Nonparametric Score Estimators
Yuhao Zhou
Jiaxin Shi
Jun Zhu
24
23
0
20 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Saeid Asgari Taghanaki
Mohammad Havaei
Alex Lamb
Aditya Sanghi
Aram Danielyan
Tonya Custis
DRL
25
7
0
12 May 2020
We Need to Talk About Random Splits
Anders Søgaard
Sebastian Ebert
Jasmijn Bastings
Katja Filippova
29
97
0
01 May 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Qile Zhu
Jianlin Su
Wei Bi
Xiaojiang Liu
Xiyao Ma
Xiaolin Li
D. Wu
BDL
DRL
34
61
0
27 Apr 2020
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
34
431
0
30 Mar 2020
Statistical and Topological Properties of Sliced Probability Divergences
Kimia Nadjahi
Alain Durmus
Lénaïc Chizat
Soheil Kolouri
Shahin Shahrampour
Umut Simsekli
26
80
0
12 Mar 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders
Daniil Polykovskiy
Dmitry Vetrov
OffRL
21
8
0
04 Mar 2020
Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance
Khoa D. Doan
Saurav Manchanda
Amir Kimiyaie
Chandan K. Reddy
6
5
0
29 Feb 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation
Frederik Harder
Kamil Adamczewski
Mijung Park
SyDa
25
101
0
26 Feb 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
Andrea Asperti
Matteo Trentin
DRL
22
96
0
18 Feb 2020
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
24
57
0
10 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
A. Micheli
Marco Podda
AI4CE
GNN
42
276
0
29 Dec 2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
31
997
0
22 Dec 2019
Deep Automodulators
Ari Heljakka
Wenshuai Zhao
Arno Solin
Arno Solin
31
5
0
21 Dec 2019
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
Nina Miolane
S. Holmes
DRL
6
20
0
19 Nov 2019
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong
David A. Forsyth
EGVM
13
199
0
16 Nov 2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Yu Duan
Canwen Xu
Jiaxin Pei
Jialong Han
Chenliang Li
16
42
0
10 Nov 2019
Uncertainty Quantification with Generative Models
Vanessa Böhm
F. Lanusse
U. Seljak
14
25
0
22 Oct 2019
Bridging the Gap Between
f
f
f
-GANs and Wasserstein GANs
Jiaming Song
Stefano Ermon
8
39
0
22 Oct 2019
Learning Model-Agnostic Counterfactual Explanations for Tabular Data
Martin Pawelczyk
Johannes Haug
Klaus Broelemann
Gjergji Kasneci
OOD
CML
30
199
0
21 Oct 2019
Optimal Transport Based Generative Autoencoders
Oliver Zhang
Ruei-Sung Lin
Yuchuan Gou
GAN
DRL
19
2
0
16 Oct 2019
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
P. Li
Alexander Tuzhilin
14
262
0
11 Oct 2019
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
21
61
0
09 Oct 2019
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
14
53
0
26 Sep 2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
Shuyu Lin
Stephen J. Roberts
Niki Trigoni
R. Clark
DRL
18
15
0
09 Sep 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction
Apratim Bhattacharyya
M. Hanselmann
Mario Fritz
Bernt Schiele
C. Straehle
BDL
DRL
AI4TS
24
83
0
24 Aug 2019
Improve variational autoEncoder with auxiliary softmax multiclassifier
Yao Li
DRL
21
0
0
17 Aug 2019
Previous
1
2
3
4
Next