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Revisiting Classifier Two-Sample Tests

20 October 2016

Maxime Oquab

Papers citing "Revisiting Classifier Two-Sample Tests"

50 / 243 papers shown

Title
Design2Cloth: 3D Cloth Generation from 2D MasksComputer Vision and Pattern Recognition (CVPR), 2024 Jiali Zheng Rolandos Alexandros Potamias Stefanos Zafeiriou DiffM 3DH 161 8 0 03 Apr 2024
Invariant kernels on the space of complex covariance matrices Cyrus Mostajeran Salem Said 124 2 0 28 Mar 2024
One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch Caio C. Daumann M. Donega Johannes Erdmann M. Galli Jan Lukas Späh D. Valsecchi AI4CE 87 1 0 27 Mar 2024
NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation Ruikai Cui Weizhe Liu Weixuan Sun Senbo Wang Taizhang Shang ... Han Yan Zhennan Wu Shenzhou Chen Hongdong Li Pan Ji 150 10 0 27 Mar 2024
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science Sebastian Bischoff Alana Darcher Michael Deistler Richard Gao Franziska Gerken ... Auguste Schulz Zinovia Stefanidi Shoji Toyota Linda Ulmer Julius Vetter SyDa 105 15 0 19 Mar 2024
On Ranking-based Tests of IndependenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Myrto Limnios Nathan Huet 167 0 0 12 Mar 2024
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy Shuhai Zhang Yiliao Song Jiahao Yang Yuanqing Li Bo Han Zhuliang Yu DeLMO 213 16 0 25 Feb 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation Julius Vetter Guy Moss Cornelius Schroder Richard Gao Jakob H. Macke 182 6 0 12 Feb 2024
Collaborative non-parametric two-sample testing Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 139 0 0 08 Feb 2024
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion? Cristian Sbrolli Paolo Cudrano Matteo Matteucci DiffM 104 1 0 02 Feb 2024
Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods Xiliang Yang Yifei Xiong Zhijian He 237 0 0 30 Jan 2024
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D GenerationComputer Vision and Pattern Recognition (CVPR), 2024 Tong Wu Guandao Yang Zhibing Li Kai Zhang Ziwei Liu Leonidas Guibas Dahua Lin Gordon Wetzstein EGVM VGen 225 125 0 08 Jan 2024
Simulation-Based Inference with Quantile Regression He Jia 146 4 0 04 Jan 2024
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics Yesukhei Jagvaral F. Lanusse Rachel Mandelbaum DiffM 204 9 0 18 Dec 2023
HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles V. Sklyarova Egor Zakharov Otmar Hilliges Michael J. Black Justus Thies 3DH 121 26 0 18 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic ReviewReviews in Physics (RP), 2023 Baran Hashemi Claudius Krause 198 21 0 15 Dec 2023
MVDD: Multi-View Depth Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2023 Zhen Wang Qiangeng Xu Feitong Tan Menglei Chai Shichen Liu Rohit Pandey S. Fanello A. Kadambi Yinda Zhang DiffM 161 8 0 08 Dec 2023
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud GenerationEuropean Conference on Computer Vision (ECCV), 2023 Chenliang Zhou Fangcheng Zhong Param Hanji Zhilin Guo Kyle Fogarty Alejandro Sztrajman Hongyun Gao Cengiz Öztireli 139 5 0 20 Nov 2023
Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison Kensuke Mitsuzawa Motonobu Kanagawa Stefano Bortoli Margherita Grossi Paolo Papotti 133 4 0 02 Nov 2023
Deep anytime-valid hypothesis testingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 T. Pandeva Patrick Forré Aaditya Ramdas S. Shekhar 150 6 0 30 Oct 2023
Free-form Flows: Make Any Architecture a Normalizing FlowInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Felix Dräxler Peter Sorrenson Lea Zimmermann Armand Rousselot Ullrich Kothe TPM DRL AI4CE BDL 199 16 0 25 Oct 2023
Simulation-based Inference with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller Marco Federici Christoph Weniger Patrick Forré 207 5 0 03 Oct 2023
R-divergence for Estimating Model-oriented Distribution DiscrepancyNeural Information Processing Systems (NeurIPS), 2023 Zhilin Zhao Longbing Cao 233 2 0 02 Oct 2023
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models Jichao Bao H. Yoon Jonghyun Lee 103 0 0 02 Oct 2023
A framework for paired-sample hypothesis testing for high-dimensional dataIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2023 I. Bargiotas Argyris Kalogeratos Nicolas Vayatis 63 0 0 28 Sep 2023
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder Maximilian Coblenz Oliver Grothe Fabian Kächele SyDa DRL 143 1 0 18 Sep 2023
Kernel-Based Tests for Likelihood-Free Hypothesis TestingNeural Information Processing Systems (NeurIPS), 2023 P. R. Gerber Tianze Jiang Yury Polyanskiy Rui Sun VLM 123 3 0 17 Aug 2023
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationConference on Uncertainty in Artificial Intelligence (UAI), 2023 Simon Dirmeier Carlo Albert Fernando Perez-Cruz 308 6 0 02 Aug 2023
Towards Practicable Sequential Shift Detectors Oliver Cobb A. V. Looveren 96 0 0 27 Jul 2023
Kernel-Based Testing for Single-Cell Differential AnalysisGenome Biology (Genome Biol.), 2023 Anthony Ozier-Lafontaine Camille Fourneaux G. Durif Polina Arsenteva C. Vallot O. Gandrillon Sandrine Giraud Bertrand Michel Franck Picard 176 8 0 17 Jul 2023
Non-parametric online market regime detection and regime clustering for multidimensional and path-dependent data structuresSocial Science Research Network (SSRN), 2023 Zacharia Issa Blanka Horvath 164 4 0 27 Jun 2023
Pushing the Limits of 3D Shape Generation at Scale Wang Yu Xuelin Qian Jingyang Huo Tiejun Huang Bo Zhao Yanwei Fu 208 12 0 20 Jun 2023
Minimax optimal testing by classificationAnnual Conference Computational Learning Theory (COLT), 2023 P. R. Gerber Yanjun Han Yury Polyanskiy 158 3 0 19 Jun 2023
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data SplittingNeural Information Processing Systems (NeurIPS), 2023 Felix Biggs Antonin Schrab Arthur Gretton 184 34 0 14 Jun 2023
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based InferenceNeural Information Processing Systems (NeurIPS), 2023 J. Linhart Alexandre Gramfort Pedro L. C. Rodrigues 176 13 0 06 Jun 2023
Flow Matching for Scalable Simulation-Based InferenceNeural Information Processing Systems (NeurIPS), 2023 Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 130 86 0 26 May 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 328 10 0 25 May 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost EstimationNeural Information Processing Systems (NeurIPS), 2023 Richard Gao Michael Deistler Jakob H. Macke 204 14 0 24 May 2023
Goodness of fit by Neyman-Pearson testingSciPost Physics (SciPost Phys.), 2023 Gaia Grosso Marco Letizia M. Pierini A. Wulzer 134 12 0 23 May 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows M. Buckley Claudius Krause Ian Pang David Shih AI4CE 179 30 0 19 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 147 6 0 04 May 2023
Sequential Predictive Two-Sample and Independence TestingNeural Information Processing Systems (NeurIPS), 2023 Aleksandr Podkopaev Aaditya Ramdas 222 18 0 29 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 122 6 0 13 Apr 2023
Nearest-Neighbor Sampling Based Conditional Independence TestingAAAI Conference on Artificial Intelligence (AAAI), 2023 Shuai Li Ziqi Chen Hong-Tu Zhu Christina Dan Wang Wang Wen 68 5 0 09 Apr 2023
Synthesis parameter effect detection using quantitative representations and high dimensional distribution distances A. Hagen Shane Jackson 17 0 0 03 Apr 2023
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and ManipulationIEEE International Conference on Computer Vision (ICCV), 2023 Juil Koo Seungwoo Yoo Minh Hoai Nguyen Minhyuk Sung DiffM 126 61 0 21 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 258 1 0 14 Mar 2023
Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test Gaia Grosso Nicolò Lai Marco Letizia J. Pazzini Marco Rando Lorenzo Rosasco A. Wulzer M. Zanetti 95 7 0 09 Mar 2023
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images Lisa M. Koch C. M. Schurch Christian F. Baumgartner Arthur Gretton Philipp Berens OOD 105 2 0 08 Mar 2023
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal DiscoveryTransactions of the Association for Computational Linguistics (TACL), 2023 Tao Feng Zhuang Li Gholamreza Haffari CML 153 9 0 02 Mar 2023