Shruti R. Kulkarni

50 papers A 1B 3C 5Misc 1Journal 18Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning. CoRR Ashish Gautam, Prasanna Date, Shruti R. Kulkarni, Robert M. Patton, Thomas E. Potok
2025	—	`conf`	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-Based Neuromorphic Processors. Euro-Par (2) Kazi Asifuzzaman, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Narasinga Rao Miniskar, Matthew J. Marinella, Jeffrey S. Vetter
2024	—	`conf`	Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. NICE Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone
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`	Neuro-Spark: A Submicrosecond Spiking Neural Networks Architecture for In-Sensor Filtering. ICONS Narasinga Rao Miniskar, Aaron R. Young, Kazi Asifuzzaman, Shruti R. Kulkarni, Prasanna Date, Alice Bean, Jeffrey S. Vetter
2024	—	`conf`	SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks. ICONS Junghoon Chae, Seung-Hwan Lim, Shruti R. Kulkarni, Catherine D. Schuman
2024	J	`jnl`	Scaling neural simulations in STACS. Neuromorph. Comput. Eng. Felix Wang, Shruti R. Kulkarni, Bradley H. Theilman, Fredrick H. Rothganger, Catherine D. Schuman, Seung-Hwan Lim, James B. Aimone
2024	J	`jnl`	Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning. Mach. Learn. Sci. Technol. Jieun Yoo, Jennet Dickinson, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Douglas Berry, Manuel Blanco Valentin, Karri DiPetrillo, Farah Fahim, Lindsey Gray, James Hirschauer, Shruti R. Kulkarni, Ron Lipton, Petar Maksimovic, Corrinne Mills, Mark S. Neubauer, Benjamin Parpillon, Gauri Pradhan, Chinar Syal, Nhan Tran, Dahai Wen, Aaron Young
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
2023	J	`jnl`	Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar
2023	—	`conf`	An FPGA-Based Neuromorphic Processor with All-to-All Connectivity. ICRC Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar
2023	—	`conf`	Arithmetic Primitives for Efficient Neuromorphic Computing. ICRC Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter
2023	J	`jnl`	Attention for Causal Relationship Discovery from Biological Neural Dynamics. CoRR Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim
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`	On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean
2023	J	`jnl`	On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean
2023	—	`conf`	SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. ICONS Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok
2023	J	`jnl`	SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. CoRR Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok
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`	Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
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	—	`ed.`	ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022 ICONS Thomas E. Potok, Catherine D. Schuman, Melika Payvand, Prasanna Date, Shruti R. Kulkarni, Yiran Chen, Robinson E. Pino, Brad Aimone, Mutsumi Kimura, Gregory Cohen, David Whittaker, Gordon Hirsch Wilson
2022	—	`conf`	Neuromorphic Computing for Scientific Applications. RSDHA@SC Robert M. Patton, Prasanna Date, Shruti R. Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman
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
2022	—	`conf`	Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
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`	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	A	`conf`	An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays. DATE Shruti R. Kulkarni, Shihui Yin, Jae-sun Seo, Bipin Rajendran
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	—	`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`	Neuromorphic Hardware Accelerator for SNN Inference based on STT-RAM Crossbar Arrays. ICECS Shruti R. Kulkarni, Deepak Vinayak Kadetotad, Shihui Yin, Jae-sun Seo, Bipin Rajendran
2018	C	`conf`	Acceleration of Convolutional Networks Using Nanoscale Memristive Devices. EANN Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran
2018	C	`conf`	Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks. ISCAS Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
2018	J	`jnl`	Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization. Neural Networks Shruti R. Kulkarni, Bipin Rajendran
2017	J	`jnl`	Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks. CoRR Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
2017	—	`conf`	Learning and real-time classification of hand-written digits with spiking neural networks. ICECS Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
2017	—	`conf`	Spiking neural networks - Algorithms, hardware implementations and applications. MWSCAS Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran
2015	C	`conf`	Live demonstration: Spiking neural circuit based navigation inspired by C. elegans thermotaxis. ISCAS Chirag Shetty, Sri Nitchith, Rishabh Rawat, S. R. Nandakumar, Pritesh Shah, Shruti R. Kulkarni, Bipin Rajendran
2015	C	`conf`	Scalable Digital CMOS Architecture for Spike Based Supervised Learning. EANN Shruti R. Kulkarni, Bipin Rajendran
2013	Misc	`conf`	Spiking neural network based ASIC for character recognition. ICNC Shruti R. Kulkarni, Maryam Shojaei Baghini