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Deeplearning4j

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Deeplearning4j

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A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

STREAMING TENSOR TRAIN APPROXIMATION

Text Representation Learning for Low Cost Natural Language Understanding

Towards learning-based denoising of light fields

Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions

Generating Controlled Physics-Informed Time-to-failure Trajectories for Prognostics in Unseen Operational Conditions

Hamiltonian reconstruction as metric for variational studies

On combining denoising with learning-based image decoding

Autoencoders reloaded

Pre-bcc: A novel integrated machine learning framework for predicting mechanical and durability properties of blended cement concrete