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Advanced Machine Learning Techniques for Self-Interference Cancellation in Full-Duplex Radios

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Advanced Machine Learning Techniques for Self-Interference Cancellation in Full-Duplex Radios

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Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing

Design of approximate and precision-scalable circuits for embedded multimedia and neural-network processing

Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing

Entropy and mutual information in models of deep neural networks

Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO

A geometry-inspired decision-based attack

Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks

Mixed-precision architecture based on computational memory for training deep neural networks

Entropy and mutual information in models of deep neural networks

Evolution of Neural Network Architectures for Speech Recognition

Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks

Entropy and mutual information in models of deep neural networks

Evolution of Neural Network Architectures for Speech Recognition

Design of approximate and precision-scalable circuits for embedded multimedia and neural-network processing

A geometry-inspired decision-based attack

Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO

Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing

Mixed-precision architecture based on computational memory for training deep neural networks

Entropy and mutual information in models of deep neural networks

Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing