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Anru R. Zhang

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Fast and Reliable Generation of EHR Time Series via Diffusion Models

Oct 23, 2023
Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru R. Zhang

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Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model

Jul 02, 2023
Runshi Tang, Ming Yuan, Anru R. Zhang

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Phase transition for detecting a small community in a large network

Mar 09, 2023
Jiashun Jin, Zheng Tracy Ke, Paxton Turner, Anru R. Zhang

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Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Oct 04, 2022
Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru R. Zhang

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Self-supervised Denoising via Low-rank Tensor Approximated Convolutional Neural Network

Sep 26, 2022
Chenyin Gao, Shu Yang, Anru R. Zhang

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Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay

Jun 17, 2022
Yuetian Luo, Anru R. Zhang

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Learning Polynomial Transformations

Apr 08, 2022
Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang

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On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization

Oct 23, 2021
Yuetian Luo, Xudong Li, Anru R. Zhang

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Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization

Aug 03, 2021
Yuetian Luo, Xudong Li, Anru R. Zhang

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