Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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196 results for Evangelos Eleftheriou

Phase-change memory models for deep learning training and inference
- - S. R. Nandakumar
  - Irem Boybat
  - et al.
- 2019
- ICECS 2019
Phase-change memory enables energy-efficient brain-inspired computing
- - Manuel Le Gallo
  - Abu Sebastian
  - et al.
- 2019
- DRC 2019
Computational memory-based inference and training of deep neural networks
- - Abu Sebastian
  - Irem Boybat
  - et al.
- 2019
- VLSI Circuits 2019
Multi-ReRAM synapses for artificial neural network training
- - Irem Boybat
  - Cecilia Giovinazzo
  - et al.
- 2019
- ISCAS 2019
Building next-generation AI systems: Co-optimization of algorithms, architectures, and nanoscale memristive devices
- - Bipin Rajendran
  - Abu Sebastian
  - et al.
- 2019
- IMW 2019
Impact of conductance drift on multi-PCM synaptic architectures
- - Irem Boybat
  - S. R. Nandakumar
  - et al.
- 2018
- NVMTS 2018
Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale Learning
- - Timoleon Moraitis
  - Abu Sebastian
  - et al.
- 2018
- IJCNN 2018
Online Feature Learning from a non-i.i.d. Stream in a Neuromorphic System with Synaptic Competition
- - Stanislaw Wozniak
  - Angeliki Pantazi
  - et al.
- 2018
- IJCNN 2018
In-memory computing: Accelerating AI applications
- - Evangelos Eleftheriou
- 2018
- ESSDERC 2018
Mixed-precision architecture based on computational memory for training deep neural networks
- - S. R. Nandakumar
  - Manuel Le Gallo
  - et al.
- 2018
- ISCAS 2018