Wasserstein Auto-Encoders

5 November 2017

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 $p$ -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 $f$ -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