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Didong Li

Showing results (1-10 of 38) with videos related to

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Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|January 7, 2026
Contrastive Functional Principal Components AnalysisEric Zhang, Didong Li
North Carolina Medical Journal|October 28, 2024
Comments on Contemporary Uses of Machine Learning for Electronic Health RecordsJordan Bryan, Didong Li
... International Conference on Learning Representations|February 16, 2026
Identifiability for Gaussian Processes with Holomorphic KernelsAmeer Qaqish, Didong Li
Transactions on Machine Learning Research|March 30, 2026
Lower Ricci Curvature for Efficient Community DetectionYun Jin Park, Didong Li
Entropy (Basel, Switzerland)|December 8, 2020
A Geometric Approach to Average Problems on Multinomial and Negative Multinomial ModelsMingming Li, Huafei Sun, Didong Li
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 13, 2024
Spatial Clustering for Carolina Breast Cancer StudyHongqian Niu, Melissa Troester, Didong Li
Advances in Neural Information Processing Systems|November 7, 2025
Contrastive dimension reduction: when and how?Sam Hawke, YueEn Ma, Didong Li
Imaging Neuroscience (Cambridge, Mass.)|October 13, 2025
Riemannian diffusion kernel-smoothed continuous structural connectivity on cortical surfaceLu Wang, Didong Li, Zhengwu Zhang
Journal of Machine Learning Research : JMLR|July 24, 2023
Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian ManifoldsDidong Li, Wenpin Tang, Sudipto Banerjee
The Annals of Applied Statistics|December 15, 2025
PROBABILISTIC CONTRASTIVE DIMENSION REDUCTION FOR CASE-CONTROL STUDY DATADidong Li, Andrew Jones, Barbara Engelhardt
Pageof 4

Showing results (1-10 of 38) with videos related to

Sort By:
Pageof 4
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|January 7, 2026
Contrastive Functional Principal Components AnalysisEric Zhang, Didong Li
North Carolina Medical Journal|October 28, 2024
Comments on Contemporary Uses of Machine Learning for Electronic Health RecordsJordan Bryan, Didong Li
... International Conference on Learning Representations|February 16, 2026
Identifiability for Gaussian Processes with Holomorphic KernelsAmeer Qaqish, Didong Li
Transactions on Machine Learning Research|March 30, 2026
Lower Ricci Curvature for Efficient Community DetectionYun Jin Park, Didong Li
Entropy (Basel, Switzerland)|December 8, 2020
A Geometric Approach to Average Problems on Multinomial and Negative Multinomial ModelsMingming Li, Huafei Sun, Didong Li
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 13, 2024
Spatial Clustering for Carolina Breast Cancer StudyHongqian Niu, Melissa Troester, Didong Li
Advances in Neural Information Processing Systems|November 7, 2025
Contrastive dimension reduction: when and how?Sam Hawke, YueEn Ma, Didong Li
Imaging Neuroscience (Cambridge, Mass.)|October 13, 2025
Riemannian diffusion kernel-smoothed continuous structural connectivity on cortical surfaceLu Wang, Didong Li, Zhengwu Zhang
Journal of Machine Learning Research : JMLR|July 24, 2023
Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian ManifoldsDidong Li, Wenpin Tang, Sudipto Banerjee
The Annals of Applied Statistics|December 15, 2025
PROBABILISTIC CONTRASTIVE DIMENSION REDUCTION FOR CASE-CONTROL STUDY DATADidong Li, Andrew Jones, Barbara Engelhardt
Pageof 4