| Stochastic spiking neural networks enabled by magnetic tunnel junctions: From nontelegraphic to telegraphic switching regimes CM Liyanagedera, A Sengupta, A Jaiswal, K Roy Physical Review Applied 8 (6), 064017, 2017 | 71 | 2017 |
| Magnetic tunnel junction as an on-chip temperature sensor A Sengupta, CM Liyanagedera, B Jung, K Roy Scientific reports 7 (1), 11764, 2017 | 43 | 2017 |
| M2CA: Modular Memristive Crossbar Arrays D Mikhailenko, C Liyanagedera, AP James, K Roy 2018 IEEE international symposium on circuits and systems (ISCAS), 1-5, 2018 | 23 | 2018 |
| Hardware development for Smart Meter based innovations NA Kulatunga, S Navaratne, J Dole, C Liyanagedera, T Martin IEEE PES Innovative Smart Grid Technologies, 1-5, 2012 | 22 | 2012 |
| Coupled spin-torque nano-oscillator-based computation: A simulation study K Yogendra, C Liyanagedera, D Fan, Y Shim, K Roy ACM Journal on Emerging Technologies in Computing Systems (JETC) 13 (4), 1-24, 2017 | 14 | 2017 |
| Revisiting stochastic computing in the era of nanoscale nonvolatile technologies A Agrawal, I Chakraborty, D Roy, U Saxena, S Sharmin, M Koo, Y Shim, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (12 …, 2020 | 11 | 2020 |
| HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities SD Biswas, A Kosta, C Liyanagedera, M Apolinario, K Roy arXiv preprint arXiv:2211.10754, 2022 | 9 | 2022 |
| Fast, low power evaluation of elementary functions using radial basis function networks P Wijesinghe, CM Liyanagedera, K Roy Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 9 | 2017 |
| Magnetic tunnel junction enabled stochastic spiking neural networks: From non-telegraphic to telegraphic switching regime CM Liyanagedera, A Sengupta, A Jaiswal, K Roy arXiv preprint arXiv:1709.09247, 2017 | 7 | 2017 |
| Spin torque nano-oscillator based oscillatory neural network CM Liyanagedera, K Yogendra, K Roy, D Fan 2016 International Joint Conference on Neural Networks (IJCNN), 1387-1394, 2016 | 7 | 2016 |
| Analog approach to constraint satisfaction enabled by spin orbit torque magnetic tunnel junctions P Wijesinghe, C Liyanagedera, K Roy Scientific reports 8 (1), 6940, 2018 | 6 | 2018 |
| Dotie-detecting objects through temporal isolation of events using a spiking architecture M Nagaraj, CM Liyanagedera, K Roy 2023 IEEE International Conference on Robotics and Automation (ICRA), 4858-4864, 2023 | 5 | 2023 |
| Image segmentation with stochastic magnetic tunnel junctions and spiking neurons CM Liyanagedera, P Wijesinghe, A Jaiswal, K Roy 2017 International Joint Conference on Neural Networks (IJCNN), 2460-2468, 2017 | 5 | 2017 |
| Live demonstration: Real-time event-based speed detection using spiking neural networks A Roy, M Nagaraj, CM Liyanagedera, K Roy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Event-based temporally dense optical flow estimation with sequential neural networks W Ponghiran, CM Liyanagedera, K Roy arXiv preprint arXiv:2210.01244, 2022 | 3 | 2022 |
| Multi-motor controller as an educational tool CM Liyanagedera, NA Kulatunga 2013 International Electric Machines & Drives Conference, 1348-1351, 2013 | 2 | 2013 |
| Simulation and fabrication of a maximum power point tracker monitoring and validating system CM Liyanagedera, UC Dissanayake, K Jayapala, SG Abeyratne, ... 2011 6th International Conference on Industrial and Information Systems, 545-550, 2011 | 2 | 2011 |
| HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities SD Biswas, A Kosta, C Liyanagedera, M Apolinario, K Roy 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2024 | 1 | 2024 |
| Event-based Temporally Dense Optical Flow Estimation with Sequential Learning W Ponghiran, CM Liyanagedera, K Roy Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Biologically plausible class discrimination based recurrent neural network training for motor pattern generation P Wijesinghe, C Liyanagedera, K Roy Frontiers in neuroscience 14, 518603, 2020 | 1 | 2020 |
Kaushik RoyProfessor of Electrical and Computer Engineering, Purdue Universitypurdue.edu의 이메일 확인됨
