Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy

14 November 2016

Papers citing "Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy"

50 / 54 papers shown

Title
Adaptive Latent-Space Constraints in Personalized FL Sana Ayromlou D. B. Emerson FedML 49 0 0 12 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
Topological Signatures of Adversaries in Multimodal Alignments Minh Vu Geigh Zollicoffer Huy Mai B. Nebgen Boian S. Alexandrov Manish Bhattarai AAML 65 0 0 29 Jan 2025
A Unified Data Representation Learning for Non-parametric Two-sample Testing Xunye Tian Liuhua Peng Zhijian Zhou Mingming Gong Feng Liu Feng Liu 87 0 0 30 Nov 2024
Learning Deep Kernels for Non-Parametric Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 34 0 0 10 Sep 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng Ricardo Baptista Katherine L. Bouman MedIm DiffM 48 3 0 18 Jun 2024
Collaborative non-parametric two-sample testing Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 26 0 0 08 Feb 2024
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder E. De Vito Lorenzo Rosasco 21 3 0 22 Nov 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 40 6 0 25 May 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 24 1 0 05 Mar 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis Alexander Norcliffe B. Cebere F. Imrie Pietro Lió M. Schaar SyDa 41 14 0 24 Feb 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time Carles Domingo-Enrich Raaz Dwivedi Lester W. Mackey 35 9 0 14 Jan 2023
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 20 6 0 15 Nov 2022
Minimum Kernel Discrepancy Estimators Chris J. Oates 30 10 0 28 Oct 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 31 28 0 19 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 58 11 0 04 Jul 2022
AutoML Two-Sample Test Jonas M. Kubler Vincent Stimper Simon Buchholz Krikamol Muandet Bernhard Schölkopf 21 14 0 17 Jun 2022
PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations Weiheng Zhong Hadi Meidani DRL 24 36 0 21 Mar 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 31 25 0 20 Mar 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 23 42 0 09 Feb 2022
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications Jin Li B. Cairns Jingsong Li T. Zhu SyDa 38 69 0 22 Dec 2021
Composite Goodness-of-fit Tests with Kernels Oscar Key A. Gretton F. Briol T. Fernandez 30 14 0 19 Nov 2021
Generative adversarial networks in time series: A survey and taxonomy Eoin Brophy Zhengwei Wang Qi She Tomas E. Ward EGVM AI4TS 14 57 0 23 Jul 2021
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit Wenkai Xu 32 4 0 23 Jun 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 24 12 0 22 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu Wenkai Xu Jie Lu Danica J. Sutherland 18 19 0 14 Jun 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 53 186 0 17 Feb 2021
Two-sample Test with Kernel Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 24 19 0 12 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 104 185 0 12 Jan 2021
A kernel test for quasi-independence Tamara Fernández Wenkai Xu Marc Ditzhaus A. Gretton 29 2 0 17 Nov 2020
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton 3DH 25 9 0 26 Jun 2020
Head2Head++: Deep Facial Attributes Re-Targeting M. Doukas Mohammad Rami Koujan V. Sharmanska A. Roussos CVBM 3DH 24 45 0 17 Jun 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu Wenkai Xu Jie Lu Guangquan Zhang A. Gretton Danica J. Sutherland 19 176 0 21 Feb 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 24 77 0 20 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 818 0 20 Jan 2020
Towards GAN Benchmarks Which Require Generalization Ishaan Gulrajani Colin Raffel Luke Metz 24 57 0 10 Jan 2020
Synthesis of Realistic ECG using Generative Adversarial Networks Anne Marie Delaney Eoin Brophy T. Ward 32 79 0 19 Sep 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 24 70 0 13 Jun 2019
Unbiased estimators for the variance of MMD estimators Danica J. Sutherland Namrata Deka 31 11 0 05 Jun 2019
Kernel Mean Matching for Content Addressability of GANs Wittawat Jitkrittum Patsorn Sangkloy Muhammad Waleed Gondal Amit Raj James Hays Bernhard Schölkopf GAN BDL 24 9 0 14 May 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 21 36 0 24 Jan 2019
Deep Transfer Across Domains for Face Anti-spoofing X. Tu Hengsheng Zhang M. Xie Yao Luo Yuefei Zhang Z. Ma CVBM OOD 22 39 0 17 Jan 2019
A witness function based construction of discriminative models using Hermite polynomials H. Mhaskar A. Cloninger Xiuyuan Cheng 21 9 0 10 Jan 2019
Robustness of Conditional GANs to Noisy Labels Kerry J. Halupka A. Khetan Zinan Lin Stephen Moore NoLa 21 79 0 08 Nov 2018
Signature moments to characterize laws of stochastic processes I. Chevyrev Harald Oberhauser 10 108 0 25 Oct 2018
Human Motion Analysis with Deep Metric Learning Huseyin Coskun D. Tan Sailesh Conjeti Nassir Navab Federico Tombari 11 49 0 30 Jul 2018
Airline Passenger Name Record Generation using Generative Adversarial Networks Alejandro Mottini Alix Lhéritier Rodrigo Acuna-Agost GAN 15 50 0 17 Jul 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training Daniel Jiwoong Im He Ma Graham W. Taylor K. Branson EGVM 19 69 0 02 Mar 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel A. Gretton EGVM 43 1,450 0 04 Jan 2018
Associative Domain Adaptation Philip Häusser Thomas Frerix A. Mordvintsev Daniel Cremers BDL 13 243 0 02 Aug 2017