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Title Query | ||
Time-series forecasting (time series forecasting) | ||
Diffusion models (diffusion model*) | (graph neural diffusion)) | ||
Symbolic regression ((symbolic regression) + dynamics) | ||
Diffusion models ((diffusion model*) | (graph neural diffusion) | (flow matching)) | ||
Symbolic regression (("symbolic regression") + dynamics) | ||
PINNs ("physics-informed neural computing") | ("physics-informed neural networks") | ("physics-informed deep learning") | ||
Latent Space Simulator (VAMP) | (latent space simul*) | (decomposition of koopman operator) | (time-lagged autoencoder) | ||
Koopman Theory (koopman*) | (transformations in hilbert space) | (linear transformation of PDEs) | (regularization of physics-informed machine learning) | ||
Neural ODEs (neural ordinary differential equation) | (neural ODE) | (graph neural differential equation) | (graph neural ODEs) | (neural ODE solvers) | ||
Latent Space Simulator ("VAMP") | ("latent space simul*") | ("decomposition of koopman operator") | ("time-lagged autoencoder") | ||
Koopman Theory (koopman*) | ("transformations in hilbert space") | ("linear transformation of PDEs") | ("regularization of physics-informed machine learning") | ||
Neural ODEs ("neural ordinary differential equation") | ("neural ODE") | ("graph neural differential equation") | ("graph neural ODEs") | ("neural ODE solvers") | ||
Physics-informed GNNs ((graph networks) + (physics constrain*)) |