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ORCIDChamika M. Liyanagedera
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Journal Articles
- 2020
[j2]Amogh Agrawal
, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy:
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28(12): 2481-2494 (2020)- 2017
- [j1]Karthik Yogendra, Chamika M. Liyanagedera, Deliang Fan, Yong Shim, Kaushik Roy:
Coupled Spin-Torque Nano-Oscillator-Based Computation: A Simulation Study. ACM J. Emerg. Technol. Comput. Syst. 13(4): 56:1-56:24 (2017)
Conference and Workshop Papers
- 2024
- [c9]Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy:
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. WACV 2024: 5952-5962 - 2023
- [c8]Arjun Roy, Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy:
Live Demonstration: Real-time Event-based Speed Detection using Spiking Neural Networks. CVPR Workshops 2023: 4081-4082 - [c7]Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy:
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning. ICCV 2023: 9793-9802 - [c6]Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy:
DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture. ICRA 2023: 4858-4864 - [c5]Chamika Mihiranga Liyanagedera, Manish Nagaraj, Wachirawit Ponghiran, Kaushik Roy:
Low-Power Real-Time Sequential Processing with Spiking Neural Networks. ISCAS 2023: 1-5 - 2018
- [c4]Darya Mikhailenko, Chamika M. Liyanagedera, Alex Pappachen James, Kaushik Roy:
M2CA: Modular Memristive Crossbar Arrays. ISCAS 2018: 1-5 - 2017
- [c3]Parami Wijesinghe, Chamika M. Liyanagedera, Kaushik Roy:
Fast, low power evaluation of elementary functions using radial basis function networks. DATE 2017: 208-213 - [c2]Chamika M. Liyanagedera, Parami Wijesinghe, Akhilesh Jaiswal, Kaushik Roy:
Image segmentation with stochastic magnetic tunnel junctions and spiking neurons. IJCNN 2017: 2460-2468 - 2016
- [c1]Chamika M. Liyanagedera, Karthik Yogendra, Kaushik Roy, Deliang Fan:
Spin torque nano-oscillator based Oscillatory Neural Network. IJCNN 2016: 1387-1394
Informal and Other Publications
- 2022
- [i4]Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy:
DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture. CoRR abs/2210.00975 (2022) - [i3]Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy:
Event-based Temporally Dense Optical Flow Estimation with Sequential Neural Networks. CoRR abs/2210.01244 (2022) - [i2]Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy:
HALSIE - Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. CoRR abs/2211.10754 (2022) - 2017
- [i1]Chamika M. Liyanagedera, Abhronil Sengupta, Akhilesh Jaiswal, Kaushik Roy:
Magnetic Tunnel Junction Enabled Stochastic Spiking Neural Networks: From Non-Telegraphic to Telegraphic Switching Regime. CoRR abs/1709.09247 (2017)
Coauthor Index
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