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Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference



Gianna Paulin , Francesco Conti , Lukas Cavigelli , Luca Benini

* IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE, Volume: 69, Issue: 1, January 2022, Date of Publication (Early Access) 30 July 2021 

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Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks



Gianmarco Cerutti , Lukas Cavigelli , Renzo Andri , Michele Magno , Elisabetta Farella , Luca Benini


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Sub-100uW Multispectral Riemannian Classification for EEG-based Brain--Machine Interfaces



Xiaying Wang , Lukas Cavigelli , Tibor Schneider , Luca Benini


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Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks



Xavier Timoneda , Lukas Cavigelli


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ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network



Thorir Mar Ingolfsson , Xiaying Wang , Michael Hersche , Alessio Burrello , Lukas Cavigelli , Luca Benini

* 4 pages, 1 figure, 2 tables 

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Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain--Machine Interfaces



Xiaying Wang , Tibor Schneider , Michael Hersche , Lukas Cavigelli , Luca Benini


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Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices



Gianmarco Cerutti , Renzo Andri , Lukas Cavigelli , Michele Magno , Elisabetta Farella , Luca Benini

* 6 pages conference 

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EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces



Thorir Mar Ingolfsson , Michael Hersche , Xiaying Wang , Nobuaki Kobayashi , Lukas Cavigelli , Luca Benini

* 8 pages, 6 figures, 5 tables 

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Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces



Tibor Schneider , Xiaying Wang , Michael Hersche , Lukas Cavigelli , Luca Benini


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RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks



Lukas Cavigelli , Luca Benini


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