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Constrained Few-shot Class-incremental Learning

Mar 30, 2022
Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi

* CVPR 2022 camera-ready version 

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Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks

Mar 11, 2022
Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi

* 8 pages, 7 figures 

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A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks

Jan 04, 2022
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi

* 14 pages (not including final biography page), 13 figures (excluded authors pictures) 

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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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XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks

Mar 05, 2018
Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini

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