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AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator


Nov 10, 2021
Chuteng Zhou, Fernando Garcia Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough


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A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays


Apr 05, 2021
Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui, Abu Sebastian, Vijay Narayanan

* Submitted to AICAS2021 

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Robust High-dimensional Memory-augmented Neural Networks


Oct 05, 2020
Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi


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ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning


Mar 25, 2020
Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou

* 5 pages. 5 figures. Accepted at ISCAS 2020 for publication 

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In-memory hyperdimensional computing


Jun 04, 2019
Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian


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Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses


May 28, 2019
S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran


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Fatiguing STDP: Learning from Spike-Timing Codes in the Presence of Rate Codes


Jun 17, 2017
Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou

* 8 pages, 8 figures, presented at IJCNN in May 2017 

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