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Abu Sebastian

IBM Research - Zurich

In-memory factorization of holographic perceptual representations


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

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

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Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics


Sep 21, 2022
Dominique J. Kösters, Bryan A. Kortman, Irem Boybat, Elena Ferro, Sagar Dolas, Roberto de Austri, Johan Kwisthout, Hans Hilgenkamp, Theo Rasing, Heike Riel, Abu Sebastian, Sascha Caron, Johan H. Mentink

* 7 pages, 4 figures, submitted to APL Machine Learning 

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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

* 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

* 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 Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices


Mar 09, 2022
Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi


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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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Short-term synaptic plasticity optimally models continuous environments


Sep 15, 2020
Timoleon Moraitis, Abu Sebastian, Evangelos Eleftheriou

* Main paper: 10 pages, 4 figures. Supplementary Information: 11 pages, 4 figures 

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