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Richard Archibald

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MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

Jan 11, 2024
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky

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Streaming Compression of Scientific Data via weak-SINDy

Aug 29, 2023
Benjamin P. Russo, M. Paul Laiu, Richard Archibald

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Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent

Dec 17, 2022
Richard Archibald, Feng Bao, Yanzhao Cao, Hui Sun

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A Kernel Learning Method for Backward SDE Filter

Jan 25, 2022
Richard Archibald, Feng Bao

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Uncertainty Quantification in Deep Learning through Stochastic Maximum Principle

Nov 28, 2020
Richard Archibald, Feng Bao, Yanzhao Cao, He Zhang

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