Shay Snyder

According to our database, Shay Snyder authored at least 25 papers between 2022 and 2026.

Collaborative distances:

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

2026

qFHRR: Rethinking Fourier Holographic Reduced Representations through Quantized Phase and Integer Arithmetic.

Shay Snyder, Hamed Poursiami, Maryam Parsa

CoRR, April, 2026

SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories.

Shay Snyder, Andrew Capodieci, David J. Gorsich, Maryam Parsa

CoRR, April, 2026

HyperSpace: A Generalized Framework for Spatial Encoding in Hyperdimensional Representations.

Shay Snyder, Andrew Capodieci, David J. Gorsich, Maryam Parsa

CoRR, April, 2026

2025

VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional Computing.

Hamed Poursiami, Shay Snyder, Guojing Cong, Thomas E. Potok, Maryam Parsa

CoRR, December, 2025

Generalizable Reinforcement Learning with Biologically Inspired Hyperdimensional Occupancy Grid Maps for Exploration and Goal-Directed Path Planning.

Shay Snyder, Ryan Shea, Andrew Capodieci, David J. Gorsich, Maryam Parsa

CoRR, February, 2025

A retina-inspired pathway to real-time motion prediction inside image sensors for extreme-edge intelligence.

Subhradip Chakraborty, Shay Snyder, Md. Abdullah-Al Kaiser, Maryam Parsa, Gregory Schwartz, Akhilesh R. Jaiswal

Neuromorph. Comput. Eng., 2025

A Milling Swarm of Ground Robots using Spiking Neural Networks.

Kevin Zhu, Shay Snyder, Ricardo Vega, Maryam Parsa, Cameron Nowzari

Proceedings of the Neuro Inspired Computational Elements, 2025

Retina-inspired Object Motion Segmentation for Event-Cameras.

Victoria Clerico, Shay Snyder, Arya Lohia, Md. Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh Jaiswal, Maryam Parsa

Proceedings of the Neuro Inspired Computational Elements, 2025

On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels.

Ayana Moshruba, Shay Snyder, Hamed Poursiami, Maryam Parsa

Proceedings of the International Joint Conference on Neural Networks, 2025

Reconfigurable Retina-Inspired Looming Detection.

Jason Sinaga, Shay Snyder, Md. Abdullah-Al Kaiser, Dan Jinoy, Gregory Schwartz, Maryam Parsa, Akhilesh Jaiswal

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

2024

Retina-inspired Object Motion Segmentation.

Victoria Clerico, Shay Snyder, Arya Lohia, Md. Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh Jaiswal, Maryam Parsa

CoRR, 2024

Brain Inspired Probabilistic Occupancy Grid Mapping with Hyperdimensional Computing.

Shay Snyder, Andrew Capodieci, David J. Gorsich, Maryam Parsa

CoRR, 2024

Spiking Neural Networks as a Controller for Emergent Swarm Agents.

Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel S. Brown, Maryam Parsa, Cameron Nowzari

Proceedings of the International Conference on Neuromorphic Systems, 2024

Parallelized Multi-Agent Bayesian Optimization in Lava.

Shay Snyder, Derek Gobin, Victoria Clerico, Sumedh R. Risbud, Maryam Parsa

Proceedings of the International Conference on Neuromorphic Systems, 2024

Hardware-Algorithm Re-Engineering of Retinal Circuit for Intelligent Object Motion Segmentation.

Jason Sinaga, Victoria Clerico, Md. Abdullah-Al Kaiser, Shay Snyder, Arya Lohia, Gregory Schwartz, Maryam Parsa, Akhilesh Jaiswal

Proceedings of the International Conference on Neuromorphic Systems, 2024

Learning to Estimate Regions of Attraction of Autonomous Dynamical Systems Using Bayesian Physics Informed Neural Networks.

Cody Scharzenberger, Shay Snyder, Sumedh R. Risbud, Joe Hays, Maryam Parsa

Proceedings of the International Conference on Neuromorphic Systems, 2024

Exploration of Novel Neuromorphic Methodologies for Materials Applications.

Derek Gobin, Shay Snyder, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Maryam Parsa

Proceedings of the International Conference on Neuromorphic Systems, 2024

Asynchronous Neuromorphic Optimization in Lava.

Shay Snyder, Sumedh R. Risbud, Maryam Parsa

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Transductive Spiking Graph Neural Networks for Loihi.

Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, Maryam Parsa

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023

Object Motion Sensitivity: A Bio-inspired Solution to the Ego-motion Problem for Event-based Cameras.

Shay Snyder, Hunter Thompson, Md. Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh R. Jaiswal, Maryam Parsa

CoRR, 2023

Zespol: A Lightweight Environment for Training Swarming Agents.

Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Neuromorphic Bayesian Optimization in Lava.

Shay Snyder, Sumedh R. Risbud, Maryam Parsa

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation.

Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Evolutionary vs imitation learning for neuromorphic control at the edge.

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

Neuromorph. Comput. Eng., 2022

Semi-Supervised Graph Structure Learning on Neuromorphic Computers.

Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022