| 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 | 163 | 2020 |
| Neuromorphic hardware learns to learn T Bohnstingl, F Scherr, C Pehle, K Meier, W Maass Frontiers in neuroscience 13, 483, 2019 | 54 | 2019 |
| Online spatio-temporal learning in deep neural networks T Bohnstingl, S Woźniak, A Pantazi, E Eleftheriou IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8894-8908, 2022 | 45 | 2022 |
| 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 | 18 | 2021 |
| 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 | 8 | 2021 |
| Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware T Bohnstingl, A Šurina, M Fabre, Y Demirağ, C Frenkel, M Payvand, ... 2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022 | 7 | 2022 |
| IEEE Int. Reliability Physics Symp.(IRPS) RL Bruce, SG Sarwat, I Boybat, CW Cheng, W Kim, SR Nandakumar, ... IEEE, 2021 | 7 | 2021 |
| 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 | 5 | 2022 |
| 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 | 2 | 2020 |
| Neuromorphic device with crossbar array structure storing both weights and neuronal states of neural networks T Bohnstingl, A Pantazi, ES Eleftheriou US Patent 11,714,999, 2023 | 1 | 2023 |
| Method for designing an initialization function for programming a memory element T Bohnstingl, A Pantazi, SA Wozniak, ES Eleftheriou US Patent 11,430,524, 2022 | 1 | 2022 |
| Memory-augmented spiking neural network system T Bohnstingl, A Pantazi, SA Wozniak, ES Eleftheriou US Patent 11,803,737, 2023 | | 2023 |
| How to leverage bottlenecks to achieve a competitive advantage in innovation ecosystems: A configurational approach T Draschbacher, T Ortner EURAM 2023: Transforming Business for Good, 2023 | | 2023 |
| Crossbar arrays for computations in memory-augmented neural networks T Bohnstingl, A Pantazi, SA Wozniak, ES Eleftheriou US Patent 11,604,976, 2023 | | 2023 |
| A Configurational Approach Towards Achieving Competitive Advantage in Innovation Ecosystems (WITHDRAWN) T Draschbacher, T Bohnstingl Academy of Management Proceedings 2023 (1), 14782, 2023 | | 2023 |
| Strategies to address bottlenecks in innovation ecosystems: A configurational approach T Draschbacher, T Bohnstingl Annual Meeting of the Strategic Management Society: Innovative Strategies …, 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 |
| Biologically Inspired dynamics Enhance deep Learning S Woźniak, T Bohnstingl, A Pantazi Brain-inspired Computing, 8, 2021 | | 2021 |
Angeliki PantaziPrincipal Research Staff Member, IBM Research-Zurich在 zurich.ibm.com 的电子邮件经过验证
