Maryam Parsa - RankMe

73 papers A 1B 7C 2Misc 2Journal 35Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ConformalHDC: Uncertainty-Aware Hyperdimensional Computing with Application to Neural Decoding. CoRR Ziyi Liang, Hamed Poursiami, Zhishun Yang, Keiland W. Cooper, Akhilesh Jaiswal, Maryam Parsa, Norbert Fortin, Babak Shahbaba
2025	—	`conf`	A Milling Swarm of Ground Robots using Spiking Neural Networks. NICE Kevin Zhu, Shay Snyder, Ricardo Vega, Maryam Parsa, Cameron Nowzari
2025	J	`jnl`	A Retina-Inspired Pathway to Real-Time Motion Prediction inside Image Sensors for Extreme-Edge Intelligence. CoRR Subhradip Chakraborty, Shay Snyder, Md. Abdullah-Al Kaiser, Maryam Parsa, Gregory Schwartz, Akhilesh R. Jaiswal
2025	J	`jnl`	A retina-inspired pathway to real-time motion prediction inside image sensors for extreme-edge intelligence. Neuromorph. Comput. Eng. Subhradip Chakraborty, Shay Snyder, Md. Abdullah-Al Kaiser, Maryam Parsa, Gregory Schwartz, Akhilesh R. Jaiswal
2025	J	`jnl`	Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study. Proc. Priv. Enhancing Technol. Ayana Moshruba, Ihsen Alouani, Maryam Parsa
2025	—	`conf`	Do Spikes Protect Privacy? Investigating Black-Box Model Inversion Attacks in Spiking Neural Networks. ICONS Hamed Poursiami, Ayana Moshruba, Maryam Parsa
2025	J	`jnl`	Do Spikes Protect Privacy? Investigating Black-Box Model Inversion Attacks in Spiking Neural Networks. CoRR Hamed Poursiami, Ayana Moshruba, Maryam Parsa
2025	J	`jnl`	Generalizable Reinforcement Learning with Biologically Inspired Hyperdimensional Occupancy Grid Maps for Exploration and Goal-Directed Path Planning. CoRR Shay Snyder, Ryan Shea, Andrew Capodieci, David J. Gorsich, Maryam Parsa
2025	J	`jnl`	HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing. CoRR Guojing Cong, Thomas E. Potok, Hamed Poursiami, Maryam Parsa
2025	—	`conf`	Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks. ICONS Ayana Moshruba, Hamed Poursiami, Maryam Parsa
2025	J	`jnl`	Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks. CoRR Ayana Moshruba, Hamed Poursiami, Maryam Parsa
2025	B	`conf`	On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels. IJCNN Ayana Moshruba, Shay Snyder, Hamed Poursiami, Maryam Parsa
2025	J	`jnl`	On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels. CoRR Ayana Moshruba, Shay Snyder, Hamed Poursiami, Maryam Parsa
2025	Misc	`conf`	Reconfigurable Retina-Inspired Looming Detection. FCCM Jason Sinaga, Shay Snyder, Md. Abdullah-Al Kaiser, Dan Jinoy, Gregory Schwartz, Maryam Parsa, Akhilesh Jaiswal
2025	—	`conf`	Retina-inspired Object Motion Segmentation for Event-Cameras. NICE Victoria Clerico, Shay Snyder, Arya Lohia, Md. Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh Jaiswal, Maryam Parsa
2025	J	`jnl`	VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional Computing. CoRR Hamed Poursiami, Shay Snyder, Guojing Cong, Thomas E. Potok, Maryam Parsa
2024	J	`jnl`	Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study. CoRR Ayana Moshruba, Ihsen Alouani, Maryam Parsa
2024	—	`conf`	Asynchronous Neuromorphic Optimization in Lava. ACM Great Lakes Symposium on VLSI Shay Snyder, Sumedh R. Risbud, Maryam Parsa
2024	J	`jnl`	Asynchronous Neuromorphic Optimization with Lava. CoRR Shay Snyder, Sumedh R. Risbud, Maryam Parsa
2024	J	`jnl`	Brain Inspired Probabilistic Occupancy Grid Mapping with Hyperdimensional Computing. CoRR Shay Snyder, Andrew Capodieci, David J. Gorsich, Maryam Parsa
2024	C	`conf`	BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks. ICMLA Hamed Poursiami, Ihsen Alouani, Maryam Parsa
2024	J	`jnl`	BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks. CoRR Hamed Poursiami, Ihsen Alouani, Maryam Parsa
2024	—	`conf`	Exploration of Novel Neuromorphic Methodologies for Materials Applications. ICONS Derek Gobin, Shay Snyder, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Maryam Parsa
2024	J	`jnl`	Exploration of Novel Neuromorphic Methodologies for Materials Applications. CoRR Derek Gobin, Shay Snyder, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Maryam Parsa
2024	—	`conf`	Hardware-Algorithm Re-Engineering of Retinal Circuit for Intelligent Object Motion Segmentation. ICONS Jason Sinaga, Victoria Clerico, Md. Abdullah-Al Kaiser, Shay Snyder, Arya Lohia, Gregory Schwartz, Maryam Parsa, Akhilesh Jaiswal
2024	J	`jnl`	Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation. CoRR Jason Sinaga, Victoria Clerico, Md. Abdullah-Al Kaiser, Shay Snyder, Arya Lohia, Gregory Schwartz, Maryam Parsa, Akhilesh Jaiswal
2024	—	`conf`	Learning to Estimate Regions of Attraction of Autonomous Dynamical Systems Using Bayesian Physics Informed Neural Networks. ICONS Cody Scharzenberger, Shay Snyder, Sumedh R. Risbud, Joe Hays, Maryam Parsa
2024	—	`conf`	Parallelized Multi-Agent Bayesian Optimization in Lava. ICONS Shay Snyder, Derek Gobin, Victoria Clerico, Sumedh R. Risbud, Maryam Parsa
2024	J	`jnl`	Parallelized Multi-Agent Bayesian Optimization in Lava. CoRR Shay Snyder, Derek Gobin, Victoria Clerico, Sumedh R. Risbud, Maryam Parsa
2024	J	`jnl`	Retina-inspired Object Motion Segmentation. CoRR Victoria Clerico, Shay Snyder, Arya Lohia, Md. Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh Jaiswal, Maryam Parsa
2024	—	`conf`	Spiking Neural Networks as a Controller for Emergent Swarm Agents. ICONS Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel S. Brown, Maryam Parsa, Cameron Nowzari
2024	J	`jnl`	Spiking Neural Networks as a Controller for Emergent Swarm Agents. CoRR Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel S. Brown, Maryam Parsa, Cameron Nowzari
2024	—	`conf`	Transductive Spiking Graph Neural Networks for Loihi. ACM Great Lakes Symposium on VLSI Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, Maryam Parsa
2024	J	`jnl`	Transductive Spiking Graph Neural Networks for Loihi. CoRR Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, Maryam Parsa
2024	—	`conf`	Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks. ICONS Hamed Poursiami, Ihsen Alouani, Maryam Parsa
2024	J	`jnl`	Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks. CoRR Hamed Poursiami, Ihsen Alouani, Maryam Parsa
2023	—	`conf`	A Brain-inspired Approach for Malware Detection using Sub-semantic Hardware Features. ACM Great Lakes Symposium on VLSI Maryam Parsa, Khaled N. Khasawneh, Ihsen Alouani
2023	J	`jnl`	Avoiding excess computation in asynchronous evolutionary algorithms. Expert Syst. J. Knowl. Eng. Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong
2023	C	`conf`	Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. ICMLA Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman
2023	—	`conf`	Neuromorphic Bayesian Optimization in Lava. ICONS Shay Snyder, Sumedh R. Risbud, Maryam Parsa
2023	J	`jnl`	Neuromorphic Bayesian Optimization in Lava. CoRR Shay Snyder, Sumedh R. Risbud, Maryam Parsa
2023	J	`jnl`	Object Motion Sensitivity: A Bio-inspired Solution to the Ego-motion Problem for Event-based Cameras. CoRR Shay Snyder, Hunter Thompson, Md. Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh R. Jaiswal, Maryam Parsa
2023	—	`ed.`	Proceedings of the 2023 International Conference on Neuromorphic Systems, ICONS 2023, Santa Fe, NM, USA, August 1-3, 2023 ICONS Catherine D. Schuman, Melika Payvand, Maryam Parsa
2023	J	`jnl`	Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations. CoRR Ricardo Vega, Kevin Zhu, Sean Luke, Maryam Parsa, Cameron Nowzari
2023	—	`conf`	Zespol: A Lightweight Environment for Training Swarming Agents. ICONS Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa
2023	J	`jnl`	Zespol: A Lightweight Environment for Training Swarming Agents. CoRR Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa
2022	J	`jnl`	A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. James B. Aimone, Prasanna Date, Gabriel A. Fonseca Guerra, Kathleen E. Hamilton, Kyle Henke, Bill Kay, Garrett T. Kenyon, Shruti R. Kulkarni, Susan M. Mniszewski, Maryam Parsa, Sumedh R. Risbud, Catherine D. Schuman, William Severa, J. Darby Smith
2022	J	`jnl`	Biological connectomes as a representation for the architecture of artificial neural networks. CoRR Samuel Schmidgall, Catherine D. Schuman, Maryam Parsa
2022	J	`jnl`	Evolutionary vs imitation learning for neuromorphic control at the edge. Neuromorph. Comput. Eng. 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
2022	J	`jnl`	Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
2022	J	`jnl`	Publisher Correction: Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
2022	—	`conf`	Semi-Supervised Graph Structure Learning on Neuromorphic Computers. ICONS Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman
2021	B	`conf`	A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems. IJCNN Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell
2021	—	`conf`	Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. ICONS Maryam Parsa, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy
2021	—	`conf`	Avoiding Excess Computation in Asynchronous Evolutionary Algorithms. UKCI Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong
2021	J	`jnl`	Benchmarking the performance of neuromorphic and spiking neural network simulators. Neurocomputing Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
2021	B	`conf`	Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. CEC Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman
2021	—	`conf`	Neuromorphic Computing for Autonomous Racing. ICONS Robert M. Patton, Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Nicholas Quentin Haas, Christopher G. Stahl, Spencer Paulissen, Prasanna Date, Thomas E. Potok, Shay Sneider
2021	B	`conf`	Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa
2021	—	`conf`	Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation. ICONS Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
2020	B	`conf`	Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. IJCNN Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok
2020	—	`conf`	Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems. SSCI Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
2020	B	`conf`	Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy
2020	J	`jnl`	Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy
2020	B	`conf`	Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. IJCNN Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton
2020	—	`conf`	Training Spiking Neural Networks Using Combined Learning Approaches. SSCI Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman
2019	—	`conf`	Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. IEEE BigData Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy
2019	—	`conf`	Evolving Energy Efficient Convolutional Neural Networks. IEEE BigData Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok
2019	A	`conf`	PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. ICCAD Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy
2019	J	`jnl`	PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. CoRR Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy
2017	—	`conf`	Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis. EMBC Maryam Parsa, Priyadarshini Panda, Shreyas Sen, Kaushik Roy
2016	J	`jnl`	Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction. CoRR Abhronil Sengupta, Maryam Parsa, Bing Han, Kaushik Roy
2012	Misc	`conf`	Design and fabrication of a smart electronic guide for museums. SACI Majed Rostamian, Maryam Parsa, Voicu Groza