145 citations · 814 across the 26 of their papers we have counts for
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cs.LG2020★ 11 cited
Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations
Enrico Schiassi, Carl Leake, Mario De Florio +3
In this work we present a novel, accurate, and robust physics-informed method for solving problems involving parametric differential equations (DEs) called the Extreme Theory of Fu…
cs.LG2019★ 1 cited
Learning Accurate Extended-Horizon Predictions of High Dimensional Trajectories
Brian Gaudet, Richard Linares, Roberto Furfaro
We present a novel predictive model architecture based on the principles of predictive coding that enables open loop prediction of future observations over extended horizons. There…