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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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