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On The Robustness of a Neural Network

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On The Robustness of a Neural Network

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Role of stochastic noise and generalization error in the time propagation of neural-network quantum states

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks

Biologically plausible unsupervised learning in shallow and deep neural networks

Loss landscape and symmetries in Neural Networks

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

Teaching optics to a machine learning network

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

Multi-memristive synaptic architectures for training neural networks

Disentangling feature and lazy training in deep neural networks