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Neural network

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SafeAMC: Adversarial training for robust modulation classification models

Controllability and Interpretability in Affective Speech Synthesis

Essays in Empirical Asset Pricing

Deep learning exotic hadrons

System and method for privacy-preserving distributed training of neural network models on distributed datasets

Trace norm regularization for multi-task learning with scarce data

Methods for acute and long-term imaging of the ventral nerve cord in behaving adult Drosophila

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

Understanding Deep Neural Function Approximation in Reinforcement Learning via ϵ-Greedy Exploration

Learning of Continuous and Piecewise-Linear Functions With Hessian Total-Variation Regularization