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Thomas Bohnstingl
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2020 – today
- 2023
- [j2]Thomas Bohnstingl
, Stanislaw Wozniak
, Angeliki Pantazi
, Evangelos Eleftheriou
:
Online Spatio-Temporal Learning in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8894-8908 (2023) - 2022
- [c4]Thomas Bohnstingl, Anja Surina, Maxime Fabre, Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi
:
Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware. AICAS 2022: 218-221 - [c3]Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi
:
Speech Recognition Using Biologically-Inspired Neural Networks. ICASSP 2022: 6992-6996 - 2021
- [c2]Robert L. Bruce, Syed Ghazi Sarwat
, Irem Boybat, Cheng-Wei Cheng, Wanki Kim, S. R. Nandakumar, Charles Mackin
, Timothy Philip, Zuoguang Liu, Kevin Brew, Nanbo Gong, Injo Ok, Praneet Adusumilli, Katie Spoon, Stefano Ambrogio, Benedikt Kersting, Thomas Bohnstingl, Manuel Le Gallo, Andrew Simon, Ning Li, Iqbal Saraf, Jin-Ping Han, Lynne M. Gignac, John M. Papalia, Tenko Yamashita, Nicole Saulnier, Geoffrey W. Burr, Hsinyu Tsai, Abu Sebastian
, Vijay Narayanan
, Matthew BrightSky:
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. IRPS 2021: 1-6 - [i4]Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi:
Towards efficient end-to-end speech recognition with biologically-inspired neural networks. CoRR abs/2110.02743 (2021) - [i3]Stanislaw Wozniak, Thomas Bohnstingl, Angeliki Pantazi:
Biologically Inspired Dynamics Enhance Deep Learning. ERCIM News 2021(125) (2021) - 2020
- [j1]Stanislaw Wozniak
, Angeliki Pantazi
, Thomas Bohnstingl
, Evangelos Eleftheriou
:
Deep learning incorporating biologically inspired neural dynamics and in-memory computing. Nat. Mach. Intell. 2(6): 325-336 (2020) - [c1]Thomas Bohnstingl, Angeliki Pantazi
, Evangelos Eleftheriou:
Accelerating Spiking Neural Networks using Memristive Crossbar Arrays. ICECS 2020: 1-4 - [i2]Thomas Bohnstingl, Stanislaw Wozniak, Wolfgang Maass, Angeliki Pantazi, Evangelos Eleftheriou:
Online spatio-temporal learning in deep neural networks. CoRR abs/2007.12723 (2020)
2010 – 2019
- 2019
- [i1]Thomas Bohnstingl, Franz Scherr, Christian Pehle, Karlheinz Meier, Wolfgang Maass:
Neuromorphic Hardware learns to learn. CoRR abs/1903.06493 (2019)
Coauthor Index
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