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Found 3 papers, 2 papers with code
Disentangled Generative Models for Robust Prediction of System Dynamics
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
In this work, we suggest a neural network capable of understanding a specific physical phenomenon: wave propagation in a two-dimensional medium.
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling.
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