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ReLU Neural Network Galerkin BEM

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ReLU Neural Network Galerkin BEM

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

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation

Deep Spline Networks With Control Of Lipschitz Regularity

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Biologically plausible deep learning – but how far can we go with shallow networks?

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Analog Neural Networks with Deep-submicron Nonlinear Synapses

Provable Robustness of ReLU networks via Maximization of Linear Regions

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

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

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Deep Spline Networks With Control Of Lipschitz Regularity

Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation

Provable Robustness of ReLU networks via Maximization of Linear Regions

Biologically plausible deep learning – but how far can we go with shallow networks?

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation

Analog Neural Networks with Deep-submicron Nonlinear Synapses