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Thomas Bohnstingl
Thomas Bohnstingl
PhD Student at IBM Research Zurich and Graz University of Technology
Bestätigte E-Mail-Adresse bei student.tugraz.at
Titel
Zitiert von
Zitiert von
Jahr
Deep learning incorporating biologically inspired neural dynamics and in-memory computing
S Woźniak, A Pantazi, T Bohnstingl, E Eleftheriou
Nature Machine Intelligence 2 (6), 325-336, 2020
732020
Neuromorphic hardware learns to learn
T Bohnstingl, F Scherr, C Pehle, K Meier, W Maass
Frontiers in neuroscience 13, 483, 2019
372019
Online spatio-temporal learning in deep neural networks
T Bohnstingl, S Woźniak, A Pantazi, E Eleftheriou
IEEE Transactions on Neural Networks and Learning Systems, 2022
102022
Mushroom-type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation
RL Bruce, SG Sarwat, I Boybat, CW Cheng, W Kim, SR Nandakumar, ...
2021 IEEE International Reliability Physics Symposium (IRPS), 1-6, 2021
52021
Towards efficient end-to-end speech recognition with biologically-inspired neural networks
T Bohnstingl, A Garg, S Woźniak, G Saon, E Eleftheriou, A Pantazi
arXiv preprint arXiv:2110.02743, 2021
12021
Speech Recognition Using Biologically-Inspired Neural Networks
T Bohnstingl, A Garg, S Woźniak, G Saon, E Eleftheriou, A Pantazi
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
2022
Method for designing an initialization function for programming a memory element
T Bohnstingl, A Pantazi, SA Wozniak, ES Eleftheriou
US Patent App. 17/085,071, 2022
2022
Integrated circuit with a configurable neuromorphic neuron apparatus for artificial neural networks
A Pantazi, M Stanisavljevic, SA Wozniak, T Bohnstingl, ES Eleftheriou
US Patent App. 17/085,173, 2022
2022
Online training of neural networks
T Bohnstingl, SA Wozniak, A Pantazi, ES Eleftheriou
US Patent App. 17/339,978, 2022
2022
Memory-augmented spiking neural network system
T Bohnstingl, A Pantazi, SA Wozniak, ES Eleftheriou
US Patent App. 16/919,139, 2022
2022
Crossbar arrays for computations in memory-augmented neural networks
T Bohnstingl, A Pantazi, SA Wozniak, ES Eleftheriou
US Patent App. 16/862,441, 2021
2021
Neuromorphic device with crossbar array structure storing both weights and neuronal states of neural networks
T Bohnstingl, A Pantazi, ES Eleftheriou
US Patent App. 16/685,045, 2021
2021
Biologically Inspired dynamics Enhance deep Learning
S Woźniak, T Bohnstingl, A Pantazi
Brain-inspired Computing, 8, 2021
2021
Accelerating Spiking Neural Networks using Memristive Crossbar Arrays
T Bohnstingl, A Pantazi, E Eleftheriou
2020 27th IEEE International Conference on Electronics, Circuits and Systems …, 2020
2020
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