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Picture for Evangelos Eleftheriou

Evangelos Eleftheriou

IBM Research - Zurich

Towards efficient end-to-end speech recognition with biologically-inspired neural networks

Oct 04, 2021
Thomas Bohnstingl, Ayush Garg, Stanisław Woźniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi

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Learning in Deep Neural Networks Using a Biologically Inspired Optimizer

Apr 23, 2021
Giorgia Dellaferrera, Stanislaw Wozniak, Giacomo Indiveri, Angeliki Pantazi, Evangelos Eleftheriou

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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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Online spatio-temporal learning in deep neural networks

Jul 24, 2020
Thomas Bohnstingl, Stanisław Woźniak, Wolfgang Maass, Angeliki Pantazi, Evangelos Eleftheriou

* Main manuscript: 8 pages, 3 figures, 1 table, Supplementary notes: 11 pages 

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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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Compiling Neural Networks for a Computational Memory Accelerator

Mar 05, 2020
Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou

* Submitted to SPMA '20 

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5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory

Jun 08, 2019
Martino Dazzi, Abu Sebastian, Pier Andrea Francese, Thomas Parnell, Luca Benini, Evangelos Eleftheriou

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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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Low-Power Neuromorphic Hardware for Signal Processing Applications

Jan 11, 2019
Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou

* 20 pages, 7 figures, submitted to Special Issue on Learning Algorithms and Signal Processing for Brain-Inspired Computing in the IEEE Signal Processing Magazine 

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Deep Networks Incorporating Spiking Neural Dynamics

Dec 17, 2018
Stanisław Woźniak, Angeliki Pantazi, Evangelos Eleftheriou

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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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