Abdullah M. Zyarah

According to our database, Abdullah M. Zyarah authored at least 21 papers between 2015 and 2024.

Collaborative distances:

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

2024

Reservoir Network With Structural Plasticity for Human Activity Recognition.

Abdullah M. Zyarah, Alaa M. Abdul-Hadi, Dhireesha Kudithipudi

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System.

Abdullah M. Zyarah, Dhireesha Kudithipudi

CoRR, 2024

PositCL: Compact Continual Learning with Posit Aware Quantization.

Vedant Karia, Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023

Design Principles for Lifelong Learning AI Accelerators.

Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin R. Epstein

CoRR, 2023

2021

MetaplasticNet: Architecture with Probabilistic Metaplastic Synapses for Continual Learning.

Fatima Tuz Zohora, Vedant Karia, Anurag Reddy Daram, Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS.

Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Neuromorphic System for Spatial and Temporal Information Processing.

Abdullah M. Zyarah, Kevin Gomez, Dhireesha Kudithipudi

IEEE Trans. Computers, 2020

End-to-End Memristive HTM System for Pattern Recognition and Sequence Prediction.

Abdullah M. Zyarah, Kevin Gomez, Dhireesha Kudithipudi

CoRR, 2020

FeFET-Based Neuromorphic Architecture with On-Device Feedback Alignment Training.

Sumin Jot, Abdullah M. Zyarah, Santosh Kurinec, Kai Ni, Fatima Tuz Zohora, Dhireesha Kudithipudi

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

Metaplasticity in Multistate Memristor Synaptic Networks.

Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Neuromorphic Architecture for the Hierarchical Temporal Memory.

Abdullah M. Zyarah, Dhireesha Kudithipudi

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Neuromemrisitive Architecture of HTM with On-Device Learning and Neurogenesis.

Abdullah M. Zyarah, Dhireesha Kudithipudi

ACM J. Emerg. Technol. Comput. Syst., 2019

Neuromemristive Multi-Layer Random Projection Network with On-Device Learning.

Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Semi-Trained Memristive Crossbar Computing Engine with <i>In Situ</i> Learning Accelerator.

Abdullah M. Zyarah, Dhireesha Kudithipudi

ACM J. Emerg. Technol. Comput. Syst., 2018

Semi-Trained Memristive Crossbar Computing Engine with In-Situ Learning Accelerator.

Abdullah M. Zyarah, Dhireesha Kudithipudi

CoRR, 2018

On-Device Learning in Memristor Spiking Neural Networks.

Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

Invited paper: Resource sharing in feed forward neural networks for energy efficiency.

Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

On-device STDP and synaptic normalization for neuromemristive spiking neural network.

Nicholas Soures, Lydia Hays, Eric Bohannon, Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks.

Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Extreme learning machine as a generalizable classification engine.

Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Reconfigurable hardware architecture of the spatial pooler for hierarchical temporal memory.

Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the 28th IEEE International System-on-Chip Conference, 2015