Thomas Bohnstingl

According to our database, Thomas Bohnstingl authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Online Spatio-Temporal Learning in Deep Neural Networks.

Thomas Bohnstingl, Stanislaw Wozniak, Angeliki Pantazi, Evangelos Eleftheriou

IEEE Trans. Neural Networks Learn. Syst., November, 2023

2022

Speech Recognition Using Biologically-Inspired Neural Networks.

Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi

Proceedings of the IEEE International Conference on Acoustics, 2022

Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware.

Thomas Bohnstingl, Anja Surina, Maxime Fabre, Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Biologically Inspired Dynamics Enhance Deep Learning.

Stanislaw Wozniak, Thomas Bohnstingl, Angeliki Pantazi

ERCIM News, 2021

Towards efficient end-to-end speech recognition with biologically-inspired neural networks.

Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi

CoRR, 2021

Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation.

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

Proceedings of the IEEE International Reliability Physics Symposium, 2021

2020

Deep learning incorporating biologically inspired neural dynamics and in-memory computing.

Stanislaw Wozniak, Angeliki Pantazi, Thomas Bohnstingl, Evangelos Eleftheriou

Nat. Mach. Intell., 2020

Online spatio-temporal learning in deep neural networks.

Thomas Bohnstingl, Stanislaw Wozniak, Wolfgang Maass, Angeliki Pantazi, Evangelos Eleftheriou

CoRR, 2020

Accelerating Spiking Neural Networks using Memristive Crossbar Arrays.

Thomas Bohnstingl, Angeliki Pantazi, Evangelos Eleftheriou

Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

2019

Neuromorphic Hardware learns to learn.

Thomas Bohnstingl, Franz Scherr, Christian Pehle, Karlheinz Meier, Wolfgang Maass

CoRR, 2019