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Shay Snyder
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2020 – today
- 2024
- [c6]Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, Maryam Parsa:
Transductive Spiking Graph Neural Networks for Loihi. ACM Great Lakes Symposium on VLSI 2024: 608-613 - [c5]Shay Snyder, Sumedh R. Risbud, Maryam Parsa:
Asynchronous Neuromorphic Optimization in Lava. ACM Great Lakes Symposium on VLSI 2024: 776-778 - [i10]Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, Maryam Parsa:
Transductive Spiking Graph Neural Networks for Loihi. CoRR abs/2404.17048 (2024) - [i9]Shay Snyder, Sumedh R. Risbud, Maryam Parsa:
Asynchronous Neuromorphic Optimization with Lava. CoRR abs/2404.17052 (2024) - [i8]Shay Snyder, Derek Gobin, Victoria Clerico, Sumedh R. Risbud, Maryam Parsa:
Parallelized Multi-Agent Bayesian Optimization in Lava. CoRR abs/2405.04387 (2024) - [i7]Derek Gobin, Shay Snyder, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Maryam Parsa:
Exploration of Novel Neuromorphic Methodologies for Materials Applications. CoRR abs/2405.04478 (2024) - [i6]Jason Sinaga, Victoria Clerico, Md. Abdullah-Al Kaiser, Shay Snyder, Arya Lohia, Gregory Schwartz, Maryam Parsa, Akhilesh Jaiswal:
Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation. CoRR abs/2408.08320 (2024) - [i5]Shay Snyder, Andrew Capodieci, David J. Gorsich, Maryam Parsa:
Brain Inspired Probabilistic Occupancy Grid Mapping with Hyperdimensional Computing. CoRR abs/2408.09066 (2024) - [i4]Victoria Clerico, Shay Snyder, Arya Lohia, Md. Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh Jaiswal, Maryam Parsa:
Retina-inspired Object Motion Segmentation. CoRR abs/2408.09454 (2024) - 2023
- [c4]Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman:
Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. ICMLA 2023: 1541-1546 - [c3]Shay Snyder, Sumedh R. Risbud, Maryam Parsa:
Neuromorphic Bayesian Optimization in Lava. ICONS 2023: 9:1-9:5 - [c2]Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa:
Zespol: A Lightweight Environment for Training Swarming Agents. ICONS 2023: 24:1-24:5 - [i3]Shay Snyder, Hunter Thompson, Md. Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh R. Jaiswal, Maryam Parsa:
Object Motion Sensitivity: A Bio-inspired Solution to the Ego-motion Problem for Event-based Cameras. CoRR abs/2303.14114 (2023) - [i2]Shay Snyder, Sumedh R. Risbud, Maryam Parsa:
Neuromorphic Bayesian Optimization in Lava. CoRR abs/2305.11060 (2023) - [i1]Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa:
Zespol: A Lightweight Environment for Training Swarming Agents. CoRR abs/2306.17744 (2023) - 2022
- [j1]Catherine D. Schuman, Robert M. Patton, Shruti R. Kulkarni, Maryam Parsa, Christopher G. Stahl, Nicholas Quentin Haas, J. Parker Mitchell, Shay Snyder, Amelie Nagle, Alexandra Shanafield, Thomas E. Potok:
Evolutionary vs imitation learning for neuromorphic control at the edge. Neuromorph. Comput. Eng. 2(1): 14002 (2022) - [c1]Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman:
Semi-Supervised Graph Structure Learning on Neuromorphic Computers. ICONS 2022: 28:1-28:4
Coauthor Index
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