Wasserstein Auto-Encoders

5 November 2017

Papers citing "Wasserstein Auto-Encoders"

50 / 229 papers shown

Title
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling Lei Shang Mou-Yue Huang Wuxuan Shi Yuchen Liu Yang Liu Fei Wang Baigui Sun Xuansong Xie Yu Qiao UQCV 24 8 0 02 Dec 2022
Conditional Progressive Generative Adversarial Network for satellite image generation Renato Cardoso S. Vallecorsa Edoardo Nemni GAN 29 4 0 28 Nov 2022
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds Jesse C. Cresswell Brendan Leigh Ross G. Loaiza-Ganem H. Reyes-González Marco Letizia Anthony L. Caterini 24 36 0 23 Nov 2022
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning Xiaobao Wu A. Luu Xinshuai Dong 30 44 0 23 Nov 2022
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 21 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 29 0 0 12 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 48 1 0 12 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 38 20 0 27 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 37 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 33 4 0 03 Sep 2022
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch F. Brémond A. Dantcheva 40 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 44 3 0 28 Jul 2022
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse Sachit Menon David M. Blei Carl Vondrick DRL 22 6 0 19 Jul 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu 47 27 0 18 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 26 12 0 14 Jul 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 44 39 0 06 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 33 27 0 17 Jun 2022
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud D. Zimny Joanna Waczyñska Tomasz Trzciñski Przemysław Spurek 34 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 111 64 0 31 May 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 43 13 0 30 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 19 44 0 27 Apr 2022
Deconstructed Generation-Based Zero-Shot Model Dubing Chen Yuming Shen Haofeng Zhang Philip Torr 35 7 0 24 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 32 11 0 05 Apr 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen Nhat Ho 30 25 0 04 Apr 2022
PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations Weiheng Zhong Hadi Meidani DRL 30 37 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 35 26 0 10 Mar 2022
Variational Autoencoders Without the Variation Gregory A. Daly J. Fieldsend G. Tabor 31 2 0 01 Mar 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 46 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 31 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 22 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 31 34 0 16 Dec 2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu Xinran Liu Andrea Soltoggio Soheil Kolouri 21 7 0 11 Dec 2021
Forward Operator Estimation in Generative Models with Kernel Transfer Operators Z. Huang Rudrasis Chakraborty Vikas Singh GAN 16 3 0 01 Dec 2021
Active Learning at the ImageNet Scale Z. Emam Hong-Min Chu Ping Yeh-Chiang W. Czaja R. Leapman Micah Goldblum Tom Goldstein 32 34 0 25 Nov 2021
Zero-shot Singing Technique Conversion Brendan O'Connor S. Dixon Georgy Fazekas 35 5 0 16 Nov 2021
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis Sloan Nietert Rachel Cummings Ziv Goldfeld OT 20 26 0 02 Nov 2021
PIE: Pseudo-Invertible Encoder J. Beitler Ivan Sosnovik A. Smeulders 11 10 0 31 Oct 2021
Probabilistic Autoencoder using Fisher Information J. Zacherl Philipp Frank T. Ensslin EgoV AI4CE 33 2 0 28 Oct 2021
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation Wenju Xu Guanghui Wang 45 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 18 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
Inferential Wasserstein Generative Adversarial Networks Yao Chen Qingyi Gao Xiao Wang GAN 108 20 0 13 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 26 18 0 24 Aug 2021
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity Khang Le Huy Nguyen Tung Pham Nhat Ho OT 32 8 0 18 Aug 2021