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Nicholas Soures
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2020 – today
- 2024
- [j5]Nicholas Soures
, Jayanta Dey
Learning Continually in Silicon. Computer 57(10): 160-164 (2024) - [c8]Nicholas Soures, Vedant Karia, Dhireesha Kudithipudi:
Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design. AAAI Spring Symposia 2024: 317 - [i5]Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi:
Continual Learning and Catastrophic Forgetting. CoRR abs/2403.05175 (2024) - [i4]Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi:
Probabilistic Metaplasticity for Continual Learning with Memristors. CoRR abs/2403.08718 (2024) - [i3]Nicholas Soures, Peter Helfer, Anurag Reddy Daram, Tej Pandit, Dhireesha Kudithipudi:
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks. CoRR abs/2409.00021 (2024) - 2023
- [i2]Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone
Design Principles for Lifelong Learning AI Accelerators. CoRR abs/2310.04467 (2023) - 2022
- [j4]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [c7]Vedant Karia, Fatima Tuz Zohora, Nicholas Soures, Dhireesha Kudithipudi:
SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning. ISCAS 2022: 1372-1376 - 2020
- [c6]Fatima Tuz Zohora
Metaplasticity in Multistate Memristor Synaptic Networks. ISCAS 2020: 1-5 - [i1]Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi:
Metaplasticity in Multistate Memristor Synaptic Networks. CoRR abs/2003.11638 (2020)
2010 – 2019
- 2019
- [j3]Nicholas Soures
Spiking Reservoir Networks: Brain-inspired recurrent algorithms that use random, fixed synaptic strengths. IEEE Signal Process. Mag. 36(6): 78-87 (2019) - 2018
- [c5]Abdullah M. Zyarah
On-Device Learning in Memristor Spiking Neural Networks. ISCAS 2018: 1-5 - 2017
- [j2]Nicholas Soures, Corey Merkel, Dhireesha Kudithipudi, Clare Thiem, Nathan R. McDonald:
Reservoir Computing in Embedded Systems: Three variants of the reservoir algorithm. IEEE Consumer Electron. Mag. 6(3): 67-73 (2017) - [c4]Nicholas Soures, Lydia Hays, Dhireesha Kudithipudi:
Robustness of a memristor based liquid state machine. IJCNN 2017: 2414-2420 - [c3]Abdullah M. Zyarah
Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks. ISCAS 2017: 1-4 - [c2]Nicholas Soures, Lydia Hays, Eric Bohannon, Abdullah M. Zyarah
On-device STDP and synaptic normalization for neuromemristive spiking neural network. MWSCAS 2017: 1081-1084 - 2016
- [j1]Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal
Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. Computer 49(10): 56-64 (2016) - [c1]Anvesh Polepalli, Nicholas Soures, Dhireesha Kudithipudi:
Digital neuromorphic design of a Liquid State Machine for real-time processing. ICRC 2016: 1-8
Coauthor Index
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