Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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Year

30 results for Angeliki Pantazi

Towards efficient end-to-end speech recognition with biologically-inspired neural networks
- - Thomas Bohnstingl
  - Ayush Garg
  - et al.
- 2021
- NeurIPS 2021
Introducing principles of synaptic integration in the optimization of deep neural networks
- - Giorgia Dellaferrera
  - Stanisław Woźniak
  - et al.
- 2022
- Nature Communications
Online Spatio-Temporal Learning in Deep Neural Networks
- - Thomas Bohnstingl
  - Stanislaw Wozniak
  - et al.
- 2021
- IEEE TNNLS
Deep learning incorporating biologically inspired neural dynamics and in-memory computing
- - Stanisław Woźniak
  - Angeliki Pantazi
  - et al.
- 2020
- Nature Machine Intelligence
Stochastic phase-change neurons
- - Tomas Tuma
  - Angeliki Pantazi
  - et al.
- 2016
- Nature Nanotechnology
Approximating Relu Networks by Single-Spike Computation
- - Ana Stanojevic
  - Evangelos Eleftheriou
  - et al.
- 2022
- ICIP 2022
Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware
- - Thomas Bohnstingl
  - Anja Surina
  - et al.
- 2022
- AICAS 2022
SPEECH RECOGNITION USING BIOLOGICALLY-INSPIRED NEURAL NETWORKS
- - Thomas Bohnstingl
  - Ayush Garg
  - et al.
- 2022
- ICASSP 2022
Speech Recognition using Biologically-Inspired Neural Networks
- - Thomas Bohnstingl
  - Ayush Garg
  - et al.
- 2022
- ICASSP 2022
Accelerating spiking neural networks using memristive crossbar arrays
- - T. Bohnstingl
  - Angeliki Pantazi
  - et al.
- 2020
- ICECS 2020