Web: http://arxiv.org/abs/2205.02191

May 5, 2022, 1:12 a.m. | Tapas Tripura, Souvik Chakraborty

cs.LG updates on arXiv.org arxiv.org

With massive advancements in sensor technologies and Internet-of-things, we
now have access to terabytes of historical data; however, there is a lack of
clarity in how to best exploit the data to predict future events. One possible
alternative in this context is to utilize operator learning algorithm that
directly learn nonlinear mapping between two functional spaces; this
facilitates real-time prediction of naturally arising complex evolutionary
dynamics. In this work, we introduce a novel operator learning algorithm
referred to as the …

arxiv neural parametric physics

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