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ORCIDShruti R. Kulkarni
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2020 – today
- 2023
[j4]Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong:
Avoiding excess computation in asynchronous evolutionary algorithms. Expert Syst. J. Knowl. Eng. 40(5) (2023)- 2022
- [j3]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) - [c20]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 - [c19]Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC 2022: 100-105 - [c18]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:
Neuromorphic Computing for Scientific Applications. RSDHA@SC 2022: 22-28 - [i2]Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR abs/2208.07468 (2022) - 2021
- [j2]Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman:
Benchmarking the performance of neuromorphic and spiking neural network simulators. Neurocomputing 447: 145-160 (2021) - [c17]Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman:
Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. CEC 2021: 1225-1232 - [c16]Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman:
Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation. ICONS 2021: 6:1-6:7 - [c15]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:
Neuromorphic Computing for Autonomous Racing. ICONS 2021: 23:1-23:5 - [c14]Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell:
A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems. IJCNN 2021: 1-10 - [c13]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:
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 2021: 361-382 - [c12]Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong:
Avoiding Excess Computation in Asynchronous Evolutionary Algorithms. UKCI 2021: 71-82 - 2020
- [c11]Shruti R. Kulkarni, Shihui Yin, Jae-sun Seo, Bipin Rajendran:
An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays. DATE 2020: 1019-1024 - [c10]Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman:
Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems. SSCI 2020: 1989-1994 - [c9]Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman:
Training Spiking Neural Networks Using Combined Learning Approaches. SSCI 2020: 1995-2001
2010 – 2019
- 2019
- [c8]Shruti R. Kulkarni, Deepak Vinayak Kadetotad, Shihui Yin, Jae-Sun Seo, Bipin Rajendran:
Neuromorphic Hardware Accelerator for SNN Inference based on STT-RAM Crossbar Arrays. ICECS 2019: 438-441 - 2018
- [j1]Shruti R. Kulkarni, Bipin Rajendran:
Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization. Neural Networks 103: 118-127 (2018) - [c7]Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran:
Acceleration of Convolutional Networks Using Nanoscale Memristive Devices. EANN 2018: 240-251 - [c6]Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran:
Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks. ISCAS 2018: 1- - 2017
- [c5]Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran:
Learning and real-time classification of hand-written digits with spiking neural networks. ICECS 2017: 128-131 - [c4]Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran:
Spiking neural networks - Algorithms, hardware implementations and applications. MWSCAS 2017: 426-431 - [i1]Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran:
Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks. CoRR abs/1711.03637 (2017) - 2015
- [c3]Shruti R. Kulkarni, Bipin Rajendran:
Scalable Digital CMOS Architecture for Spike Based Supervised Learning. EANN 2015: 149-158 - [c2]Chirag Shetty, Sri Nitchith, Rishabh Rawat, S. R. Nandakumar, Pritesh Shah, Shruti R. Kulkarni, Bipin Rajendran:
Live demonstration: Spiking neural circuit based navigation inspired by C. elegans thermotaxis. ISCAS 2015: 1905 - 2013
- [c1]Shruti R. Kulkarni, Maryam Shojaei Baghini:
Spiking neural network based ASIC for character recognition. ICNC 2013: 194-199
Coauthor Index
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last updated on 2023-05-28 01:12 CEST by the dblp team
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