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11/22/2022
Time Series Forecasting with Hypernetworks Generating Parameters in Advance
Forecasting future outcomes from recent time series data is not easy, es...
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11/11/2021
Climate Modeling with Neural Diffusion Equations
Owing to the remarkable development of deep learning technology, there h...
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12/04/2020
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
We present a method for learning dynamics of complex physical processes ...
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06/15/2020
Alternating Energy Minimization Methods for Multi-term Matrix Equations
We develop computational methods for approximating the solution of a lin...
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11/16/2019
IDEALEM: Statistical Similarity Based Data Reduction
Many applications such as scientific simulation, sensing, and power grid...
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06/11/2019