54 citations · 72 across the 3 of their papers we have counts for
3 papers
Disentangled Generative Models for Robust Prediction of System Dynamics
Stathi Fotiadis, Mario Lino, Shunlong Hu +3
Deep neural networks have become increasingly of interest in dynamical system prediction, but out-of-distribution generalization and long-term stability still remains challenging.…
Approximating the solution to wave propagation using deep neural networks
Wilhelm E. Sorteberg, Stef Garasto, Alison S. Pouplin +2
Humans gain an implicit understanding of physical laws through observing and interacting with the world. Endowing an autonomous agent with an understanding of physical laws through…
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis +6
We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling. Cardiac arrhythmias, particularly atrial fibril…