Shruti R. Kulkarni

发表

Acceleration of Convolutional Networks Using Nanoscale Memristive Devices

Bipin Rajendran, Shruti R. Kulkarni, Anakha V. Babu, 2018, EANN.

Live demonstration: Spiking neural circuit based navigation inspired by C. elegans thermotaxis

S. R. Nandakumar, Bipin Rajendran, Pritesh Shah, 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

Building Brain-Inspired Computing Systems: Examining the Role of Nanoscale Devices

Bipin Rajendran, Shruti R. Kulkarni, Anakha V. Babu, 2018, IEEE Nanotechnology Magazine.

Spiking neural networks — Algorithms, hardware implementations and applications

Bipin Rajendran, Shruti R. Kulkarni, Anakha V. Babu, 2017, 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS).

Training Spiking Neural Networks Using Combined Learning Approaches

Catherine D. Schuman, J. Parker Mitchell, Shruti R. Kulkarni, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization

Bipin Rajendran, Shruti R. Kulkarni, B. Rajendran, 2018, Neural Networks.

Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems

Catherine D. Schuman, J. Parker Mitchell, Shruti R. Kulkarni, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Spiking neural network based ASIC for character recognition

Maryam Shojaei Baghini, Shruti R. Kulkarni, 2013, 2013 Ninth International Conference on Natural Computation (ICNC).

Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks

Bipin Rajendran, Shruti R. Kulkarni, John M. Alexiades, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Scalable Digital CMOS Architecture for Spike Based Supervised Learning

Bipin Rajendran, Shruti R. Kulkarni, 2015, EANN.

Neuromorphic Hardware Accelerator for SNN Inference based on STT-RAM Crossbar Arrays

Shihui Yin, Jae-Sun Seo, Bipin Rajendran, 2019, 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS).

Learning and real-time classification of hand-written digits with spiking neural networks

Bipin Rajendran, Shruti R. Kulkarni, John M. Alexiades, 2017, 2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS).

Bio-inspired learning and hardware acceleration with emerging memories

Shruti R. Kulkarni, 2019 .

An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays

Jae-sun Seo, Shihui Yin, Bipin Rajendran, 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Neuromorphic Computing for Autonomous Racing

Catherine D. Schuman, Thomas E. Potok, Prasanna Date, 2021, ICONS.

A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems

Catherine D. Schuman, James S. Plank, Shruti R. Kulkarni, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Benchmarking the performance of neuromorphic and spiking neural network simulators

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, 2021, Neurocomputing.

Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution

Catherine D. Schuman, Jeffrey K. Bassett, Shruti R. Kulkarni, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, 2021, ICONS.

Avoiding excess computation in asynchronous evolutionary algorithms

Catherine D. Schuman, Kenneth A. De Jong, Eric O. Scott, 2021, UKCI.

Encoding integers and rationals on neuromorphic computers using virtual neuron

Catherine D. Schuman, Aaron R. Young, Shruti R. Kulkarni, 2022, Scientific reports.

A review of non-cognitive applications for neuromorphic computing

Kathleen E. Hamilton, Catherine D. Schuman, William M. Severa, 2022, Neuromorph. Comput. Eng..

Opportunities for neuromorphic computing algorithms and applications

Catherine D. Schuman, Shruti R. Kulkarni, Bill Kay, 2022, Nature Computational Science.

SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing

Shruti R. Kulkarni, Robert M. Patton, T. Potok, 2023, ICONS.

A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems

Catherine D. Schuman, Shruti R. Kulkarni, Nicholas D. Skuda, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials

Aaron R. Young, Narasinga Rao Miniskar, Shruti R. Kulkarni, 2023, Int. J. High Perform. Comput. Appl..

Semi-Supervised Graph Structure Learning on Neuromorphic Computers

Catherine D. Schuman, Shruti R. Kulkarni, T. Potok, 2022, ICONS.

Neuromorphic Computing for Scientific Applications

Steven R. Young, Shruti R. Kulkarni, T. Potok, 2022, 2022 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA).

Evolutionary vs imitation learning for neuromorphic control at the edge

Catherine D. Schuman, Christopher G. Stahl, Shruti R. Kulkarni, 2021, Neuromorph. Comput. Eng..

Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning

Shruti R. Kulkarni, P. Maksimovic, G. D. Guglielmo, 2023, 2310.02474.

Transductive Spiking Graph Neural Networks for Loihi

Shruti R. Kulkarni, Sumedh R. Risbud, Maryam Parsa, 2024, ACM Great Lakes Symposium on VLSI.