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Xiangxiang Xu

Jet Expansions of Residual Computation

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Oct 08, 2024
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Operator SVD with Neural Networks via Nested Low-Rank Approximation

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Feb 06, 2024
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A Geometric Framework for Neural Feature Learning

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Sep 18, 2023
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Kernel Subspace and Feature Extraction

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Jan 04, 2023
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On Distributed Learning with Constant Communication Bits

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Sep 14, 2021
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Maximum Likelihood Estimation for Multimodal Learning with Missing Modality

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Aug 24, 2021
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An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

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Oct 08, 2019
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An Information Theoretic Interpretation to Deep Neural Networks

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May 16, 2019
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An Efficient Approach to Informative Feature Extraction from Multimodal Data

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Nov 22, 2018
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