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- ar-pde-cnn Public archive
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
- CAAE-DRDCN-inverse Public
Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems
- cnn-surrogate Public
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
- predictive-cvs Public
Predictive collective variable discovery with deep Bayesian models for atomistic systems.
- pde-surrogate Public
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
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