| Neuromorphic architecture for the hierarchical temporal memory AM Zyarah, D Kudithipudi IEEE Transactions on Emerging Topics in Computational Intelligence 3 (1), 4-14, 2019 | 26 | 2019 |
| Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks AM Zyarah, N Soures, L Hays, RB Jacobs-Gedrim, S Agarwal, ... 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 24 | 2017 |
| Design and Analysis of a Reconfigurable Hierarchical Temporal Memory Architecture AM Zyarah Rochester Institute of Technology, Rochester, NY, 2015 | 22* | 2015 |
| Neuromemrisitive architecture of HTM with on-device learning and neurogenesis AM Zyarah, D Kudithipudi ACM Journal on Emerging Technologies in Computing Systems (JETC) 15 (3), 1-24, 2019 | 18 | 2019 |
| Reconfigurable hardware architecture of the spatial pooler for hierarchical temporal memory AM Zyarah, D Kudithipudi 2015 28th IEEE International System-on-Chip Conference (SOCC), 143-153, 2015 | 17 | 2015 |
| Neuromorphic system for spatial and temporal information processing AM Zyarah, K Gomez, D Kudithipudi IEEE Transactions on Computers 69 (8), 1099-1112, 2020 | 13 | 2020 |
| Alps: Adaptive quantization of deep neural networks with generalized posits HF Langroudi, V Karia, Z Carmichael, A Zyarah, T Pandit, JL Gustafson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 11 | 2021 |
| Extreme learning machine as a generalizable classification engine AM Zyarah, D Kudithipudi 2017 International Joint Conference on Neural Networks (IJCNN), 3371-3376, 2017 | 11 | 2017 |
| Optimized hardware framework of MLP with random hidden layers for classification applications AM Zyarah, A Ramesh, C Merkel, D Kudithipudi Machine Intelligence and Bio-inspired Computation: Theory and Applications X …, 2016 | 9* | 2016 |
| On-device STDP and synaptic normalization for neuromemristive spiking neural network N Soures, L Hays, E Bohannon, AM Zyarah, D Kudithipudi 2017 IEEE 60th International Midwest Symposium on Circuits and Systems …, 2017 | 7 | 2017 |
| Metaplasticnet: Architecture with probabilistic metaplastic synapses for continual learning FT Zohora, V Karia, AR Daram, AM Zyarah, D Kudithipudi 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 6 | 2021 |
| Metaplasticity in multistate memristor synaptic networks FT Zohora, AM Zyarah, N Soures, D Kudithipudi 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 5 | 2020 |
| Resource sharing in feed forward neural networks for energy efficiency AM Zyarah, D Kudithipudi 2017 IEEE 60th International Midwest Symposium on Circuits and Systems …, 2017 | 5 | 2017 |
| Semi-Trained Memristive Crossbar Computing Engine with In Situ Learning Accelerator AM Zyarah, D Kudithipudi ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (4), 1-16, 2018 | 4 | 2018 |
| On-device learning in memristor spiking neural networks AM Zyarah, N Soures, D Kudithipudi 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 4 | 2018 |
| How Neural Plasticity Boosts Performance of Spiking Neural Networks. N Soures, A Zyarah, KD Carlson, JB Aimone, D Kudithipudi Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | 4 | 2017 |
| Neuromemristive multi-layer random projection network with on-device learning AM Zyarah, D Kudithipudi 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 3 | 2019 |
| Guest editorial: IEEE TC special issue on domain-specific architectures for emerging applications A Zyarah, K Gomez IEEE Transactions on Computers 69 (8), 2020 | 2 | 2020 |
| Energy Efficient Neocortex-Inspired Systems with On-Device Learning AM Zyarah Rochester Institute of Technology, 2020 | 2 | 2020 |
| FeFET-Based Neuromorphic Architecture with On-Device Feedback Alignment Training S Jot, A Zyarah, S Kurinec, K Ni, FT Zohora, D Kudithipudi 2020 21st International Symposium on Quality Electronic Design (ISQED), 317-322, 2020 | 1 | 2020 |
Dhireesha KudithipudiNeuromorphic AI Lab, University of Texas San Antonio在 utsa.edu 的电子邮件经过验证
