Wasserstein Auto-Encoders

5 November 2017

Papers citing "Wasserstein Auto-Encoders"

50 / 186 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung Bas Peters Michael Solomon 34 0 0 10 May 2025
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 78 1 0 26 Apr 2025
Augmenting Perceptual Super-Resolution via Image Quality Predictors Fengjia Zhang Samrudhdhi B. Rangrej Tristan Aumentado-Armstrong Afsaneh Fazly Alex Levinshtein SupR 72 0 0 25 Apr 2025
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 85 0 0 24 Apr 2025
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 75 1 0 27 Feb 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 78 5 0 17 Feb 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng Tong Wang Lele Fu Sheng Huang Chuan Chen Tao Zhang 82 0 0 17 Feb 2025
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration Chung-ju Huang Yuanpeng He Xiao Han Wenpin Jiao Zhi Jin Leye Wang FedML 33 1 0 20 Jan 2025
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration Xingrui Yu Zhenglin Wan David Mark Bossens Yueming Lyu Qing-Wu Guo Ivor W. Tsang 139 0 0 11 Nov 2024
Optimal Transport for Probabilistic Circuits Adrian Ciotinga YooJung Choi TPM OT 43 0 0 16 Oct 2024
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights Zeqin Yang Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao Zhipeng Yu Zhichao Zou Jixing Xu Zhen Peng Jiecheng Guo 61 3 0 27 Jun 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 43 0 0 21 Jun 2024
On Kernel-based Variational Autoencoder Tian Qin Wei-Min Huang DRL BDL 58 1 0 21 May 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen Nhat Ho 42 3 0 23 Apr 2024
Adaptive Learning for Multi-view Stereo Reconstruction Qinglu Min Jie Zhao Zhihao Zhang Chen Min 3DV 23 0 0 08 Apr 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett 44 1 0 24 Feb 2024
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation S. Chatterjee Franziska Gaidzik Alessandro Sciarra Hendrik Mattern G. Janiga Oliver Speck Andreas Nürnberger S. Pathiraja 49 0 0 25 Dec 2023
Combinatorial music generation model with song structure graph analysis Seonghyeon Go Kyogu Lee 22 2 0 24 Dec 2023
Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs Kang-Hyun Lee G. Yun DiffM 19 2 0 13 Dec 2023
Latent Feature-Guided Diffusion Models for Shadow Removal Kangfu Mei Luis Figueroa Zhe-nan Lin Zhihong Ding Scott D. Cohen Vishal M. Patel DiffM 26 18 0 04 Dec 2023
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing Avigyan Bhattacharya Mainak Singha Ankit Jha Biplab Banerjee SSL VLM 26 6 0 27 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 34 4 0 13 Nov 2023
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 17 0 0 01 Nov 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 52 5 0 20 Oct 2023
Variational Autoencoding of Dental Point Clouds J. Z. Ye Thomas Orkild P. Søndergaard Søren Hauberg 3DPC 23 0 0 20 Jul 2023
Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams) Mathieu Pont Julien Tierny 26 3 0 05 Jul 2023
Supervised Auto-Encoding Twin-Bottleneck Hashing Yuan Chen Stéphane Marchand-Maillet 20 0 0 19 Jun 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 24 4 0 01 Jun 2023
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport Vy Vo Trung Le L. Vuong He Zhao Edwin V. Bonilla Dinh Q. Phung OT 21 4 0 25 May 2023
A Topic-aware Summarization Framework with Different Modal Side Information Xiuying Chen Mingzhe Li Shen Gao Xin Cheng Qiang Yang Qishen Zhang Xin Gao Xiangliang Zhang 31 13 0 19 May 2023
State Representation Learning Using an Unbalanced Atlas Li Meng Morten Goodwin Anis Yazidi P. Engelstad 34 2 0 17 May 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training Siddarth Asokan C. Seelamantula GAN 69 1 0 12 May 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Kun Zhang Yulan He 13 2 0 09 May 2023
Progressive Random Convolutions for Single Domain Generalization Seokeon Choi Debasmit Das Sungha Choi Seunghan Yang Hyunsin Park Sungrack Yun 20 37 0 02 Apr 2023
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test Behnam Khojasteh Friedrich Solowjow Sebastian Trimpe K. J. Kuchenbecker 18 5 0 08 Mar 2023
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests A. Coccaro Marco Letizia H. Reyes-González Riccardo Torre OOD 35 5 0 23 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 20 1 0 18 Feb 2023
Event Temporal Relation Extraction with Bayesian Translational Model Xingwei Tan Gabriele Pergola Yulan He AI4TS 27 6 0 10 Feb 2023
Sample Complexity of Probability Divergences under Group Symmetry Ziyu Chen M. Katsoulakis Luc Rey-Bellet Weixia Zhu 25 10 0 03 Feb 2023
Robust Estimation under the Wasserstein Distance Sloan Nietert Rachel Cummings Ziv Goldfeld 33 4 0 02 Feb 2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes Siyuan Huang Zan Wang Puhao Li Baoxiong Jia Tengyu Liu Yixin Zhu Wei Liang Song-Chun Zhu DiffM 64 199 0 15 Jan 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies Ibrahim M. Alabdulmohsin Nicole Chiou Alexander DÁmour A. Gretton Sanmi Koyejo Matt J. Kusner Stephen R. Pfohl Olawale Salaudeen Jessica Schrouff Katherine Tsai 68 9 0 21 Dec 2022
A Survey on Password Guessing Lam C. Tran Thuc Nguyen Changho Seo Hyunil Kim Deokjai Choi 13 1 0 17 Dec 2022
Sliced Optimal Partial Transport Yikun Bai Bernhard Schmitzer Matthew Thorpe Soheil Kolouri OT 23 20 0 15 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 2022
Castell: Scalable Joint Probability Estimation of Multi-dimensional Data Randomized with Local Differential Privacy H. Kikuchi 24 2 0 03 Dec 2022
Conditional Progressive Generative Adversarial Network for satellite image generation Renato Cardoso S. Vallecorsa Edoardo Nemni GAN 16 4 0 28 Nov 2022
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 11 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 17 0 0 12 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 41 1 0 12 Oct 2022