Shruti R. Kulkarni

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 33

Top Topics

High Energy Physics

Supervised Learning

Handwritten Digit Recognition

Top Venues

Publications

Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. ICONS (2023)
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
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter
Arithmetic Primitives for Efficient Neuromorphic Computing. ICRC (2023)
Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim
Attention for Causal Relationship Discovery from Biological Neural Dynamics. CoRR (2023)
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
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR (2023)
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)
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
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS (2023)
Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar
An FPGA-Based Neuromorphic Processor with All-to-All Connectivity. ICRC (2023)
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 (2022)
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
A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. 2 (2) (2022)
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) (2022)
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)
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)
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)
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)
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)
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)
Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
Benchmarking the performance of neuromorphic and spiking neural network simulators. Neurocomputing 447 (2021)
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)
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)
Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation. ICONS (2021)
Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems. SSCI (2020)
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)
Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman
Training Spiking Neural Networks Using Combined Learning Approaches. SSCI (2020)
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)
Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran
Acceleration of Convolutional Networks Using Nanoscale Memristive Devices. EANN (2018)
Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks. ISCAS (2018)
Shruti R. Kulkarni, Bipin Rajendran
Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization. Neural Networks 103 (2018)
Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
Learning and real-time classification of hand-written digits with spiking neural networks. ICECS (2017)
Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran
Spiking neural networks - Algorithms, hardware implementations and applications. MWSCAS (2017)
Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks. CoRR (2017)
Shruti R. Kulkarni, Bipin Rajendran
Scalable Digital CMOS Architecture for Spike Based Supervised Learning. EANN (2015)
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)
Shruti R. Kulkarni, Maryam Shojaei Baghini
Spiking neural network based ASIC for character recognition. ICNC (2013)