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Didong Li

Showing results (11-20 of 38) with videos related to

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Journal of the Royal Statistical Society. Series B, Statistical Methodology|July 18, 2022
Estimating densities with non-linear support by using Fisher-Gaussian kernelsMinerva Mukhopadhyay, Didong Li, David B Dunson
Journal of Machine Learning Research : JMLR|March 30, 2026
Spherical Rotation Dimension Reduction with Geometric Loss FunctionsHengrui Luo, Jeremy E Purvis, Didong Li
Biorxiv : the Preprint Server for Biology|July 14, 2025
Incorporating LLM-Derived Information into Hypothesis Testing for Genomics ApplicationsJordan G Bryan, Hongqian Niu, Didong Li
Journal of Machine Learning Research : JMLR|September 29, 2025
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured DataDidong Li, Andrew Jones, Sudipto Banerjee, et al.
Journal of Machine Learning Research : JMLR|March 30, 2026
Deep Generative Models: Complexity, Dimensionality, and ApproximationKevin Wang, Hongqian Niu, Yixin Wang, et al.
Frontiers in Neuroscience|October 30, 2023
Tree representations of brain structural connectivity via persistent homologyDidong Li, Phuc Nguyen, Zhengwu Zhang, et al.
Wiley Interdisciplinary Reviews. Computational Statistics|June 8, 2026
Contrastive Dimension Reduction: A Systematic ReviewSam Hawke, Eric Zhang, Jiawen Chen, et al.
Advances in Neural Information Processing Systems|March 5, 2026
On the Identifiability and Interpretability of Gaussian Process ModelsJiawen Chen, Wancen Mu, Yun Li, et al.
Biorxiv : the Preprint Server for Biology|February 13, 2023
Optimizing the design of spatial genomic studiesAndrew Jones, Diana Cai, Didong Li, et al.
Nature Communications|June 11, 2024
Optimizing the design of spatial genomic studiesAndrew Jones, Diana Cai, Didong Li, et al.
Pageof 4

Showing results (11-20 of 38) with videos related to

Sort By:
Pageof 4
Journal of the Royal Statistical Society. Series B, Statistical Methodology|July 18, 2022
Estimating densities with non-linear support by using Fisher-Gaussian kernelsMinerva Mukhopadhyay, Didong Li, David B Dunson
Journal of Machine Learning Research : JMLR|March 30, 2026
Spherical Rotation Dimension Reduction with Geometric Loss FunctionsHengrui Luo, Jeremy E Purvis, Didong Li
Biorxiv : the Preprint Server for Biology|July 14, 2025
Incorporating LLM-Derived Information into Hypothesis Testing for Genomics ApplicationsJordan G Bryan, Hongqian Niu, Didong Li
Journal of Machine Learning Research : JMLR|September 29, 2025
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured DataDidong Li, Andrew Jones, Sudipto Banerjee, et al.
Journal of Machine Learning Research : JMLR|March 30, 2026
Deep Generative Models: Complexity, Dimensionality, and ApproximationKevin Wang, Hongqian Niu, Yixin Wang, et al.
Frontiers in Neuroscience|October 30, 2023
Tree representations of brain structural connectivity via persistent homologyDidong Li, Phuc Nguyen, Zhengwu Zhang, et al.
Wiley Interdisciplinary Reviews. Computational Statistics|June 8, 2026
Contrastive Dimension Reduction: A Systematic ReviewSam Hawke, Eric Zhang, Jiawen Chen, et al.
Advances in Neural Information Processing Systems|March 5, 2026
On the Identifiability and Interpretability of Gaussian Process ModelsJiawen Chen, Wancen Mu, Yun Li, et al.
Biorxiv : the Preprint Server for Biology|February 13, 2023
Optimizing the design of spatial genomic studiesAndrew Jones, Diana Cai, Didong Li, et al.
Nature Communications|June 11, 2024
Optimizing the design of spatial genomic studiesAndrew Jones, Diana Cai, Didong Li, et al.
Pageof 4