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Found 3 papers, 2 papers with code
Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation
Our results indicate that increasing the size of the training set has a substantial effect on reducing performance fluctuations and overall error.
Using Deep LSD to build operators in GANs latent space with meaning in real space
The key point is that the set of quasi-eigenvectors form a basis set in latent space and each direction corresponds to a feature in real space.
Predator-prey dynamics: Chasing by stochastic resetting
We analyze predator-prey dynamics in one dimension in which a Brownian predator adopts a chasing strategy that consists in stochastically resetting its current position to locations previously visited by a diffusive prey.
Disordered Systems and Neural Networks Statistical Mechanics
