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2020 – today
- 2024
[j1]Olivia Weng
, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, G. Abarajithan, Nojan Sheybani, Andres Meza, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner:
Tailor: Altering Skip Connections for Resource-Efficient Inference. ACM Trans. Reconfigurable Technol. Syst. 17(1): 11:1-11:23 (2024)- [i3]G. Abarajithan, Zhenghua Ma, Zepeng Li, Shrideep Koparkar, Ravidu Munasinghe, Francesco Restuccia, Ryan Kastner:
CGRA4ML: A Framework to Implement Modern Neural Networks for Scientific Edge Computing. CoRR abs/2408.15561 (2024) - 2023
- [c2]Antonio Rios-Navarro, S. Guo, G. Abarajithan, K. Vijayakumar, Alejandro Linares-Barranco, Thea Aarrestad, Ryan Kastner, Tobi Delbrück:
Within-Camera Multilayer Perceptron DVS Denoising. CVPR Workshops 2023: 3933-3942 - [i2]Antonio Rios-Navarro, S. Guo, G. Abarajithan, K. Vijayakumar, Alejandro Linares-Barranco, Thea Aarrestad, Ryan Kastner, Tobi Delbrück:
Within-Camera Multilayer Perceptron DVS Denoising. CoRR abs/2304.07543 (2023) - 2022
- [c1]Chamith Wijenayake, K. Wickremasinghe, G. Abarajithan, Arjuna Madanayake, Chamira U. S. Edussooriya, K. Samarasinghe:
A Mostly-Online CAS Teaching Experience. ISCAS 2022: 1783-1787 - 2021
- [i1]G. Abarajithan, Chamira U. S. Edussooriya:
Kraken: An Efficient Engine with a Uniform Dataflow for Deep Neural Networks. CoRR abs/2112.02793 (2021)
Coauthor Index
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