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cs.LG2023★ 5 cited
Fourier-RNNs for Modelling Noisy Physics Data
Vignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi
Classical sequential models employed in time-series prediction rely on learning the mappings from the past to the future instances by way of a hidden state. The Hidden states chara…
cs.LG2022
Loss Landscape Engineering via Data Regulation on PINNs
Vignesh Gopakumar, Stanislas Pamela, Debasmita Samaddar
Physics-Informed Neural Networks have shown unique utility in parameterising the solution of a well-defined partial differential equation using automatic differentiation and residu…