A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories

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A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories

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OPTIMAL TRANSPORT-INSPIRED DEEP LEARNING FRAMEWORK FOR SLOW-DECAYING KOLMOGOROV \bfitn-WIDTH PROBLEMS: EXPLOITING SINKHORN LOSS AND WASSERSTEIN KERNEL

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EdgeAI-Aware Design of In-Memory Computing Architectures

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions

Random matrix methods for high-dimensional machine learning models

Predicting electronic screening for fast Koopmans spectral functional calculations

Secure Interface Design Leveraging Hardware/Software Support

Wigner kernels: Body-ordered equivariant machine learning without a basis

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

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Generalization of Scaled Deep ResNets in the Mean-Field Regime

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Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE