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Measuring and testing dependence by correlation of distances

Measuring and testing dependence by correlation of distances

28 March 2008
G. Székely
Maria L. Rizzo
N. K. Bakirov
ArXiv (abs)PDFHTML

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

50 / 466 papers shown
Detecting Perspective Shifts in Multi-agent Systems
Detecting Perspective Shifts in Multi-agent Systems
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Hayden Helm
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Universally Converging Representations of Matter Across Scientific Foundation Models
Universally Converging Representations of Matter Across Scientific Foundation Models
Sathya Edamadaka
Soojung Yang
Ju Li
Rafael Gómez-Bombarelli
AI4CE
254
7
0
03 Dec 2025
MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis
MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis
Louisa Fay
Hajer Reguigui
Bin Yang
S. Gatidis
Thomas Kustner
152
1
0
28 Nov 2025
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
Haoran Zheng
Renchi Yang
Hongtao Wang
Jianliang Xu
196
4
0
25 Nov 2025
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
Enze Shi
Pankaj Bhagwat
Zhixian Yang
Linglong Kong
Bei Jiang
161
0
0
27 Oct 2025
Manifold Approximation leads to Robust Kernel Alignment
Manifold Approximation leads to Robust Kernel Alignment
Mohammad Tariqul Islam
Du Liu
Deblina Sarkar
176
1
0
27 Oct 2025
Evaluating LLM Reasoning Beyond Correctness and CoT
Evaluating LLM Reasoning Beyond Correctness and CoT
Soheil Abbasloo
LRM
183
0
0
20 Oct 2025
The Minimax Lower Bound of Kernel Stein Discrepancy Estimation
The Minimax Lower Bound of Kernel Stein Discrepancy Estimation
Jose Cribeiro-Ramallo
Agnideep Aich
Florian Kalinke
Ashit Baran Aich
Zoltan Szabo
136
0
0
16 Oct 2025
Counting Hallucinations in Diffusion Models
Counting Hallucinations in Diffusion Models
Shuai Fu
Jian Zhou
Qi Chen
Huang Jing
Huy Anh Nguyen
Xiaohan Liu
Zhixiong Zeng
Lin Ma
Quanshi Zhang
Qi Wu
DiffMHILM
329
1
0
15 Oct 2025
Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
Chenze Li
Subhadeep Paul
OOD
156
0
0
13 Oct 2025
Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models
Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models
Georg Ahnert
Anna Haensch
Barbara Plank
M. Strohmaier
LM&MA
160
2
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13 Oct 2025
Anomaly detection by partitioning of multi-variate time series
Anomaly detection by partitioning of multi-variate time series
Pierre Lotte
André Peninou
Olivier Teste
AI4TS
89
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22 Sep 2025
From Independence to Interaction: Speaker-Aware Simulation of Multi-Speaker Conversational Timing
From Independence to Interaction: Speaker-Aware Simulation of Multi-Speaker Conversational Timing
Máté Gedeon
Péter Mihajlik
139
2
0
19 Sep 2025
The Morgan-Pitman Test of Equality of Variances and its Application to Machine Learning Model Evaluation and Selection
The Morgan-Pitman Test of Equality of Variances and its Application to Machine Learning Model Evaluation and Selection
A. Arratia
A. Cabaña
Ernesto Mordecki
Gerard Rovira-Parra
86
0
0
15 Sep 2025
Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation
Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation
Ho Ming Lee
Katrien Antonio
Benjamin Avanzi
Lorenzo Marchi
Rui Zhou
FaML
407
2
0
09 Sep 2025
Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators
Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators
Federico Cerutti
154
1
0
08 Sep 2025
Sparse minimum Redundancy Maximum Relevance for feature selection
Sparse minimum Redundancy Maximum Relevance for feature selection
Peter Naylor
B. Poignard
Héctor Climente-González
M. Yamada
186
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26 Aug 2025
Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
Chenghui Zheng
Garvesh Raskutti
122
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0
19 Aug 2025
On computing and the complexity of computing higher-order $U$-statistics, exactly
On computing and the complexity of computing higher-order UUU-statistics, exactly
Xingyu Chen
Ruiqi Zhang
Lin Liu
112
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Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
Sijia Wang
Ricardo Henao
217
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Measuring Dependencies between Biological Signals with Temporal Self-supervision, and its Limitations
Measuring Dependencies between Biological Signals with Temporal Self-supervision, and its Limitations
Evangelos Sariyanidi
John D. Herrington
Lisa Yankowitz
Pratik Chaudhari
Theodore D. Satterthwaite
Casey Zampella
Robert T. Schultz
Russell T. Shinohara
Birkan Tunc
215
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29 Jul 2025
Locally Adaptive Conformal Inference for Operator Models
Locally Adaptive Conformal Inference for Operator Models
Trevor Harris
Yan Liu
BDL
296
1
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28 Jul 2025
VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking
VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking
Juntao Tan
L. Zhang
Zhonghao Hu
Kai Yang
Peng Ran
Bo Li
AAMLFedML
236
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19 Jul 2025
Confounder-Free Continual Learning via Recursive Feature Normalization
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah
Camila Gonzalez
Mohammad H. Abbasi
Qingyu Zhao
K. Pohl
Ehsan Adeli
CLLBDL
379
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Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
Minchan Jeong
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Se-Young Yun
G. Wornell
330
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DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
Emre Kavak
Tom Nuno Wolf
Christian Wachinger
CML
213
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13 Jun 2025
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs
Rahul Thomas
Louai Zahran
Erica Choi
Akilesh Potti
Micah Goldblum
Arka Pal
AAML
147
2
0
23 May 2025
Independent Component Analysis by Robust Distance Correlation
Independent Component Analysis by Robust Distance Correlation
Sarah Leyder
Jakob Raymaekers
P. Rousseeuw
Tom Van Deuren
Tim Verdonck
161
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14 May 2025
Contextures: Representations from Contexts
Contextures: Representations from Contexts
Runtian Zhai
Kai Yang
Che-Ping Tsai
Burak Varici
Zico Kolter
Pradeep Ravikumar
997
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02 May 2025
Uncertainty quantification of neural network models of evolving processes via Langevin sampling
Uncertainty quantification of neural network models of evolving processes via Langevin samplingProbabilistic Engineering Mechanics (PEM), 2025
Cosmin Safta
Reese E. Jones
Ravi G. Patel
Raelynn Wonnacot
Dan S. Bolintineanu
Craig M. Hamel
S. Kramer
BDL
515
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21 Apr 2025
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis
Ruijun Deng
Zhihui Lu
Qiang Duan
Shijing Hu
FedML
438
2
0
14 Apr 2025
From Conditional to Unconditional Independence: Testing Conditional Independence via Transport Maps
From Conditional to Unconditional Independence: Testing Conditional Independence via Transport Maps
Chenxuan He
Yuan Gao
Liping Zhu
Jian Huang
OT
455
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0
13 Apr 2025
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks
Enze Shi
Linglong Kong
Bei Jiang
FaMLFedML
339
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08 Apr 2025
Proper scoring rules for estimation and forecast evaluation
Proper scoring rules for estimation and forecast evaluation
Kartik Waghmare
Johanna Ziegel
AI4TS
698
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02 Apr 2025
Fair Sufficient Representation Learning
Fair Sufficient Representation Learning
Xueyu Zhou
Chun Yin IP
Jian Huang
FaML
266
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29 Mar 2025
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival PredictionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Aniek Eijpe
Soufyan Lakbir
Melis Erdal Cesur
Sara P. Oliveira
Sanne Abeln
Wilson Silva
495
4
0
20 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
ReSi: A Comprehensive Benchmark for Representational Similarity MeasuresInternational Conference on Learning Representations (ICLR), 2024
Max Klabunde
Tassilo Wald
Tobias Schumacher
Klaus H. Maier-Hein
Markus Strohmaier
Adriana Iamnitchi
AI4TSVLM
547
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13 Mar 2025
QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution
QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution
Siddhant Dutta
Nouhaila Innan
Khadijeh Najafi
Sadok Ben Yahia
Muhammad Shafique
285
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11 Mar 2025
Biological Sequence with Language Model Prompting: A Survey
Biological Sequence with Language Model Prompting: A Survey
Jiyue Jiang
Zikang Wang
Yuheng Shan
Heyan Chai
Jiajun Li
Zixian Ma
Xinrui Zhang
Yu Li
LM&MA
385
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06 Mar 2025
DeepSuM: Deep Sufficient Modality Learning Framework
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Zhe Gao
Jian Huang
Ting Li
Xueqin Wang
172
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03 Mar 2025
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
Yeheng Ge
Xueyu Zhou
Jian Huang
423
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22 Feb 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
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Ying Song
Balaji Palanisamy
474
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28 Jan 2025
Explaining Categorical Feature Interactions Using Graph Covariance and LLMs
Explaining Categorical Feature Interactions Using Graph Covariance and LLMs
Cencheng Shen
Darren Edge
Jonathan Larson
Carey E. Priebe
308
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Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2
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
346
0
0
03 Jan 2025
Dynamic Importance Learning using Fisher Information Matrix (FIM) for Nonlinear Dynamic Mapping
Dynamic Importance Learning using Fisher Information Matrix (FIM) for Nonlinear Dynamic Mapping
V. M. Eivaghi
M. A. Shoorehdeli
FAtt
158
0
0
31 Dec 2024
A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI
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Beiduo Chen
Siyao Peng
Anna Korhonen
Barbara Plank
514
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Fairness via Independence: A (Conditional) Distance Covariance Framework
Fairness via Independence: A (Conditional) Distance Covariance Framework
Ruifan Huang
Haixia Liu
FedMLFaML
698
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Functional relevance based on the continuous Shapley value
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Pedro Delicado
Cristian Pachón-García
TDI
328
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Detecting practically significant dependencies in infinite dimensional
  data via distance correlations
Detecting practically significant dependencies in infinite dimensional data via distance correlations
Holger Dette
Marius Kroll
234
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Distribution-free Measures of Association based on Optimal Transport
Distribution-free Measures of Association based on Optimal Transport
Nabarun Deb
Promit Ghosal
B. Sen
OT
377
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