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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

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AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing Samuel Bright-Thonney Christina Reissel Gaia Grosso Nathaniel Woodward Katya Govorkova Andrzej Novak Sang Eon Park Eric A. Moreno Philip Harris 20 1 0 24 Oct 2025
OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models Ryoto Miyamoto Xin Fan Fuyuko Kido Tsuneo Matsumoto Hayato Yamana VLM 32 0 0 18 Oct 2025
PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference Yang Yang Severi Rissanen Paul E. Chang Nasrulloh Loka Daolang Huang Arno Solin Markus Heinonen Luigi Acerbi 44 0 0 15 Oct 2025
DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing Zhijian Zhou Xunye Tian Liuhua Peng Chao Lei Antonin Schrab Danica J. Sutherland Yifan Zhang 76 0 0 13 Oct 2025
Anchor-based Maximum Discrepancy for Relative Similarity Testing Zhijian Zhou Liuhua Peng Xunye Tian Yifan Zhang 20 0 0 12 Oct 2025
PolyGraph Discrepancy: a classifier-based metric for graph generation Markus Krimmel Philip Hartout Karsten Borgwardt Dexiong Chen 69 1 0 07 Oct 2025
Efficient Conditional Generation on Scale-based Visual Autoregressive Models Jiaqi Liu Tao Huang Chang Xu DiffM 107 0 0 07 Oct 2025
Flow Matching for Robust Simulation-Based Inference under Model Misspecification Pierre-Louis Ruhlmann Pedro L. C. Rodrigues Michael Arbel Florence Forbes 84 0 0 27 Sep 2025
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Hritik Arasu Faisal R Jahangiri DiffM 88 0 0 09 Sep 2025
Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract) Philipp Hager O. Zoeter Maarten de Rijke CML 56 0 0 29 Aug 2025
Robust Detection of Synthetic Tabular Data under Schema Variability G. C. N. Kindji Elisa Fromont L. Rojas-Barahona Tanguy Urvoy LMTD 46 0 0 27 Aug 2025
3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models Jolanta Mozyrska M. Beetz Luke Melas-Kyriazi Vicente Grau Abhirup Banerjee Alfonso Bueno-Orovio DiffM MedIm AI4CE 83 0 0 18 Aug 2025
Simulation-Based Inference: A Practical Guide Michael Deistler Jan Boelts Peter Steinbach Guy Moss Thomas Moreau ... Benjamin Kurt Miller P. J. Gonçalves Jan-Matthis Lueckmann Cornelius Schroder Jakob H Macke 84 3 0 18 Aug 2025
CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates Tianyu Chen Vansh Bansal James G. Scott 44 0 0 22 Jul 2025
The surprising strength of weak classifiers for validating neural posterior estimates Vansh Bansal Tianyu Chen James G. Scott AAML 80 1 0 22 Jul 2025
Flexible and Efficient Drift Detection without Labels Nelvin Tan Yu-Ching Shih Dong Yang Amol Salunkhe 79 0 0 10 Jun 2025
Temporal Causal-based Simulation for Realistic Time-series Generation Nikolaos Gkorgkolis Nikolaos Kougioulis Mingxue Wang Bora Caglayan Andrea Tonon Dario Simionato Ioannis Tsamardinos CML 107 1 0 02 Jun 2025
Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Mihir Bhaskar Jun Tao Luo Zihan Geng Asmita Hajra Junia Howell Matthew R. Gormley 71 0 0 30 May 2025
Efficient Diffusion Models for Symmetric Manifolds Oren Mangoubi Neil He Nisheeth K. Vishnoi MedIm 141 1 0 27 May 2025
Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data Gabriel V Cardoso Mike Pereira DiffM 139 0 0 23 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 172 0 0 08 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 164 1 0 29 Apr 2025
Revisiting Data Auditing in Large Vision-Language Models Hongyu Zhu Sichu Liang Wenjie Wang Boheng Li Tongxin Yuan Fangqi Li Shilin Wang Zhuosheng Zhang VLM 817 2 0 25 Apr 2025
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter Manuel Gloeckler Daniel Gedon Jakob H Macke 189 3 0 24 Apr 2025
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild G. C. N. Kindji Elisa Fromont L. Rojas-Barahona Tanguy Urvoy 110 0 0 10 Apr 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2025 Yuhang Liu Wenjie Zhao Yunhui Guo OODD 150 1 0 19 Mar 2025
3D Point Cloud Generation via Autoregressive Up-sampling Ziqiao Meng Qichao Wang Zhipeng Zhou Irwin King Peilin Zhao 3DPC 180 1 0 11 Mar 2025
Synthetic Tabular Data Detection In the WildInternational Symposium on Intelligent Data Analysis (IDA), 2025 G. C. N. Kindji Elisa Fromont L. Rojas-Barahona Tanguy Urvoy LMTD 174 2 0 03 Mar 2025
Robust Simulation-Based Inference under Missing Data via Neural ProcessesInternational Conference on Learning Representations (ICLR), 2025 Yogesh Verma Ayush Bharti Vikas Garg 184 3 0 03 Mar 2025
Multifidelity Simulation-based Inference for Computationally Expensive Simulators Anastasia N. Krouglova Hayden R. Johnson Basile Confavreux Michael Deistler P. J. Gonçalves 318 7 0 12 Feb 2025
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation Yifei Xiong Xiliang Yang Sanguo Zhang Zhijian He 432 2 0 17 Jan 2025
Cross-table Synthetic Tabular Data Detection G. C. N. Kindji L. Rojas-Barahona Elisa Fromont Tanguy Urvoy LMTD 189 0 0 17 Dec 2024
Hard-Label Black-Box Attacks on 3D Point Clouds Daizong Liu Yunbo Tao Pan Zhou Wei Hu 3DPC 266 3 0 30 Nov 2024
A Unified Data Representation Learning for Non-parametric Two-sample TestingConference on Uncertainty in Artificial Intelligence (UAI), 2024 Xunye Tian Liuhua Peng Zhijian Zhou Mingming Gong Feng Liu Yifan Zhang 248 2 0 30 Nov 2024
M^3ashy: Multi-Modal Material Synthesis via Hyperdiffusion Chenliang Zhou Zheyuan Hu Alejandro Sztrajman Yancheng Cai Yaru Liu Cengiz Oztirel 174 2 0 18 Nov 2024
Automatic dataset shift identification to support safe deployment of medical imaging AIInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Mélanie Roschewitz Raghav Mehta Charles Jones Ben Glocker OOD 185 2 0 12 Nov 2024
Data Quality Awareness: A Journey from Traditional Data Management to Data Science Systems Sijie Dong Soror Sahri Themis Palpanas 140 0 0 05 Nov 2024
Compositional simulation-based inference for time seriesInternational Conference on Learning Representations (ICLR), 2024 Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 230 7 0 05 Nov 2024
Flow Matching for Posterior Inference with Simulator Feedback Benjamin Holzschuh Nils Thuerey 135 0 0 29 Oct 2024
GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring RepresentationACM Multimedia (MM), 2024 Ruowei Wang Jiaqi Li Dan Zeng Xueqi Ma Zixiang Xu Jianwei Zhang Qijun Zhao 172 1 0 23 Oct 2024
General Frameworks for Conditional Two-Sample Testing Seongchan Lee Suman Cha Ilmun Kim 161 3 0 22 Oct 2024
Cost-aware Simulation-based InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Ayush Bharti Daolang Huang Samuel Kaski F. Briol 167 2 0 10 Oct 2024
Benchmarking the Fidelity and Utility of Synthetic Relational Data Valter Hudovernik Martin Jurkovič Erik Štrumbelj 132 5 0 04 Oct 2024
Two-Sample Testing with a Graph-Based Total Variation Integral Probability Metric Alden Green Sivaraman Balakrishnan Robert Tibshirani 98 1 0 24 Sep 2024
Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study Petr Philonenko S. Postovalov 138 0 0 12 Sep 2024
Learning Representations for Independence Testing Nathaniel Xu Yifan Zhang Danica J. Sutherland BDL 165 0 0 10 Sep 2024
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems Tao Feng Zhuang Li Xiaoxi Kang Gholamreza Haffari 132 4 0 25 Jun 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows Thorsten Buss F. Gaede Gregor Kasieczka Claudius Krause David Shih AI4CE 195 14 0 30 May 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy PhysicsNeural Information Processing Systems (NeurIPS), 2024 Jonas Spinner Victor Bresó P. D. Haan Tilman Plehn Jesse Thaler Johann Brehmer AI4CE 188 28 0 23 May 2024
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood DiscrepancyNeural Information Processing Systems (NeurIPS), 2024 Shengfang Zhai Huanran Chen Yinpeng Dong Jiajun Li Qingni Shen Yansong Gao Hang Su Yang Liu EGVM 186 21 0 23 May 2024