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Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

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Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

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Global information processing in feedforward deep networks

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Adaptive hot water production based on Supervised Learning

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Disentangling feature and lazy training in deep neural networks

Bayesian modeling of brain function and behavior

Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Adaptive hot water production based on Supervised Learning

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Disentangling feature and lazy training in deep neural networks

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Global information processing in feedforward deep networks

Bayesian modeling of brain function and behavior

Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism