2 papers
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…
eess.SP2019
Classification of chaotic time series with deep learning
Nicolas Boullé, Vassilios Dallas, Yuji Nakatsukasa +1
We use standard deep neural networks to classify univariate time series generated by discrete and continuous dynamical systems based on their chaotic or non-chaotic behaviour. Our…