Measuring and testing dependence by correlation of distances

28 March 2008

Papers citing "Measuring and testing dependence by correlation of distances"

50 / 99 papers shown

Title
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 89 0 0 02 May 2025
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 38 0 0 14 Apr 2025
Proper scoring rules for estimation and forecast evaluation Kartik Waghmare Johanna Ziegel AI4TS 33 0 0 02 Apr 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 68 5 0 13 Mar 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 76 0 0 28 Jan 2025
Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2 Parisa Hatami Richard Annan Luis Urias Miranda Jane Gorman Mengjun Xie Letu Qingge Hong Qin AAML 32 0 0 03 Jan 2025
Conditional Dependence via U-Statistics Pruning Ferran de Cabrera Marc Vilà-Insa Jaume Riba 28 0 0 21 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 39 1 0 12 Oct 2024
Learning Deep Kernels for Non-Parametric Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 27 0 0 10 Sep 2024
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI Qi Huang Emanuele Mezzi Osman Mutlu Miltiadis Kofinas Vidya Prasad Shadnan Azwad Khan Elena Ranguelova N. V. Stein 43 0 0 17 Jul 2024
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations Lorenzo Basile Santiago Acevedo Luca Bortolussi Fabio Anselmi Alex Rodriguez 34 4 0 22 Jun 2024
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data Nicole Hayes E. Merkurjev Guo-Wei Wei 41 2 0 10 Jun 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 2 0 29 Feb 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 34 8 0 28 Feb 2024
Embedding Compression for Teacher-to-Student Knowledge Transfer Yiwei Ding Alexander Lerch 21 1 0 09 Feb 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 41 7 0 02 Feb 2024
Secure Transformer Inference Protocol Mu Yuan Lan Zhang Xiang-Yang Li 30 3 0 14 Nov 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models Preben Ness D. Marijan Sunanda Bose CML 16 0 0 21 Aug 2023
Functional Slicing-free Inverse Regression via Martingale Difference Divergence Operator Songtao Tian Zixiong Yu Rui Chen 12 1 0 24 Jul 2023
Upper bounding the distance covariance of bounded random vectors John cCamkiran 11 0 0 29 Jun 2023
A Bayesian Take on Gaussian Process Networks Enrico Giudice Jack Kuipers G. Moffa GP 23 3 0 20 Jun 2023
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments Meijia Shao Dong Xia Yuan Zhang 10 2 0 06 Jun 2023
Neuro-Causal Factor Analysis Alex Markham Ming-Yu Liu Bryon Aragam Liam Solus CML 18 3 0 31 May 2023
Emergent representations in networks trained with the Forward-Forward algorithm Niccolo Tosato Lorenzo Basile Emanuele Ballarin Giuseppe de Alteriis Alberto Cazzaniga A. Ansuini 24 9 0 26 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 45 64 0 10 May 2023
Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation Yongli Sang Xin Dang 9 6 0 17 Apr 2023
A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids Arwa Alromih John A. Clark P. Gope 21 2 0 23 Mar 2023
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation Vitaliy Kinakh M. Drozdova S. Voloshynovskiy 32 1 0 21 Mar 2023
Statistical inferences for complex dependence of multimodal imaging data Jinyuan Chang Jing He Jian Kang Mingcong Wu 26 2 0 07 Mar 2023
Kernelized Cumulants: Beyond Kernel Mean Embeddings Patric Bonnier Harald Oberhauser Zoltan Szabo 23 5 0 29 Jan 2023
A fast and accurate kernel-based independence test with applications to high-dimensional and functional data Jin-Ting Zhang Tianming Zhu 14 2 0 03 Jan 2023
Testing Independence of Infinite Dimensional Random Elements: A Sup-norm Approach Suprio Bhar S. Dhar 21 1 0 01 Jan 2023
Assessing bivariate independence: Revisiting Bergsma's covariance Divya Kappara A. Bose M. Bhattacharjee 9 2 0 17 Dec 2022
Testing for context-dependent changes in neural encoding in naturalistic experiments Ye Chen Carl Harris Xiaoyu Ma Zheng Li Francisco Câmara Pereira Charles Y.Zheng 29 0 0 17 Nov 2022
DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator Hanwei Zhu Baoliang Chen Lingyu Zhu Shiqi Wang Weisi Lin 18 6 0 09 Nov 2022
scikit-fda: A Python Package for Functional Data Analysis Carlos Ramos-Carreño J. L. Torrecilla Miguel Carbajo-Berrocal P. Marcos A. Suárez GP AI4CE 17 22 0 04 Nov 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 22 8 0 14 Sep 2022
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding Stephen Su Sam Kwong Qingyu Zhao De-An Huang Juan Carlos Niebles Ehsan Adeli 11 0 0 22 Aug 2022
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions P. Daniušis Shubham Juneja Lukas Kuzma Virginijus Marcinkevičius 25 1 0 16 Aug 2022
Deep Sufficient Representation Learning via Mutual Information Siming Zheng Yuanyuan Lin Jian Huang SSL DRL 25 0 0 21 Jul 2022
Private independence testing across two parties Praneeth Vepakomma M. Amiri C. Canonne Ramesh Raskar Alex Pentland 21 2 0 08 Jul 2022
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data Ankur Ankan J. Textor CML 18 5 0 09 Jun 2022
CCP: Correlated Clustering and Projection for Dimensionality Reduction Yuta Hozumi Rui Wang G. Wei 25 13 0 08 Jun 2022
Discussion of 'Multivariate Fisher's independence test for multivariate dependence' Thomas B. Berrett 22 0 0 02 May 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 15 160 0 09 Apr 2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Chong-Jun Wang FedML 19 37 0 02 Mar 2022
Unifying Pairwise Interactions in Complex Dynamics Oliver M. Cliff Annie G. Bryant J. Lizier N. Tsuchiya Ben D. Fulcher 25 36 0 28 Jan 2022
Rearranged dependence measures Christopher Strothmann Holger Dette K. Siburg 36 17 0 10 Jan 2022
Quantifying directed dependence via dimension reduction Sebastian Fuchs 25 19 0 19 Dec 2021
Federated Two-stage Learning with Sign-based Voting Zichen Ma Zihan Lu Yu Lu Wenye Li Jinfeng Yi Shuguang Cui FedML 20 2 0 10 Dec 2021