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Geethan Karunaratne

In-memory factorization of holographic perceptual representations

Nov 09, 2022
Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi

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* 23 pages, 4 figures, 1 extended data figure, 3 supplementary notes, 2 supplementary figures and 3 supplementary tables

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In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory

Jul 14, 2022
Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo-Bourdeau, Urs Egger, Kevin Brew, Sam Choi, INJO OK, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi

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* Accepted at the European Solid-state Devices and Circuits Conference (ESSDERC), September 2022

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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

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* CVPR 2022 camera-ready version

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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

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

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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

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

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