Wasserstein Auto-Encoders

5 November 2017

Papers citing "Wasserstein Auto-Encoders"

50 / 229 papers shown

Title
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer Wenju Xu Chengjiang Long Ruisheng Wang Guanghui Wang GAN 41 79 0 17 Aug 2021
Towards to Robust and Generalized Medical Image Segmentation Framework Yurong Chen OOD 33 3 0 09 Aug 2021
High-Dimensional Distribution Generation Through Deep Neural Networks Dmytro Perekrestenko Léandre Eberhard Helmut Bölcskei OOD 38 6 0 26 Jul 2021
Estimation of Stationary Optimal Transport Plans Kevin O'Connor K. Mcgoff A. Nobel OT 32 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 38 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 32 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 29 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 23 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 24 38 0 09 Jun 2021
Exploring Autoencoder-based Error-bounded Compression for Scientific Data Jinyang Liu Sheng Di Kai Zhao Sian Jin Dingwen Tao Xin Liang Zizhong Chen Franck Cappello 22 49 0 25 May 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
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh Chawla 29 262 0 05 May 2021
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations Pan Li Alexander Tuzhilin 22 50 0 17 Apr 2021
$Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$-Divergences$ Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$ -Divergences Sreejith Sreekumar Zhengxin Zhang Ziv Goldfeld FedML 32 17 0 11 Mar 2021
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 41 483 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 56 1,177 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 Masayoshi Tomizuka 60 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 31 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 44 20 0 05 Feb 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 29 33 0 19 Jan 2021
Smooth $p$ -Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications Sloan Nietert Ziv Goldfeld Kengo Kato 41 30 0 11 Jan 2021
Probabilistic Outlier Detection and Generation S. Rizzo Linsey Pang Yixian Chen Sanjay 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 35 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 56 56 0 21 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 35 48 0 14 Dec 2020
Generative Capacity of Probabilistic Protein Sequence Models Francisco McGee Quentin Novinger R. Levy Vincenzo Carnevale A. Haldane 35 34 0 03 Dec 2020
TAN-NTM: Topic Attention Networks for Neural Topic Modeling Madhur Panwar Shashank Shailabh Milan Aggarwal Balaji Krishnamurthy 23 24 0 02 Dec 2020
On the Consistency of a Random Forest Algorithm in the Presence of Missing Entries Irving Gómez-Méndez Émilien Joly 25 2 0 10 Nov 2020
Optimizing Molecules using Efficient Queries from Property Evaluations Samuel C. Hoffman Vijil Chenthamarakshan Kahini Wadhawan Pin-Yu Chen Payel Das 41 69 0 03 Nov 2020
Neural Topic Modeling by Incorporating Document Relationship Graph Deyu Zhou Xuemeng Hu Rui Wang 22 22 0 29 Sep 2020
Generative Model without Prior Distribution Matching Cong Geng Jia Wang L. Chen Zhiyong Gao GAN 192 1 0 23 Sep 2020
Generative models with kernel distance in data space Szymon Knop Marcin Mazur Przemysław Spurek Jacek Tabor Igor T. Podolak GAN SyDa 27 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 35 125 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 30 153 0 06 Aug 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 51 178 0 16 Jul 2020
Invertible Zero-Shot Recognition Flows Yuming Shen Jie Qin Lei Huang BDL AI4CE 19 100 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
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 38 31 0 14 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 30 22 0 11 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 24 32 0 09 Jun 2020
Constructing Human Motion Manifold with Sequential Networks Deok-Kyeong Jang Sung-Hee Lee 20 13 0 29 May 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 35 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 38 7 0 12 May 2020
NTIRE 2020 Challenge on Image and Video Deblurring Seungjun Nah Sanghyun Son Radu Timofte Kyoung Mu Lee 67 32 0 04 May 2020
We Need to Talk About Random Splits Anders Søgaard Sebastian Ebert Jasmijn Bastings Katja Filippova 34 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 42 61 0 27 Apr 2020