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Training fully connected networks with resistive memories: impact of device failures

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Training fully connected networks with resistive memories: impact of device failures

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Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing

Accurate deep neural network inference using computational phase-change memory

Buffer Placement and Sizing for High-Performance Dataflow Circuits

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Analog Neural Networks with Deep-submicron Nonlinear Synapses

Accurate deep neural network inference using computational phase-change memory

Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing

Buffer Placement and Sizing for High-Performance Dataflow Circuits

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Evaluating the search phase of neural architecture search

Computational memory-based inference and training of deep neural networks

Multi-ReRAM synapses for artificial neural network training

Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification

Phase-Change Memory Models for Deep Learning Training and Inference