Phase-change memory models for deep learning training and inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2019
- ICECS 2019
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196 results for Evangelos Eleftheriou
Phase-change memory enables energy-efficient brain-inspired computing
- 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