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Amar Shrestha
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2020 – today
- 2021
- [c15]Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu:
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. DAC 2021: 367-372 - [c14]Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li:
1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. ISCAS 2021: 1-5 - [i6]Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu:
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. CoRR abs/2105.03649 (2021) - 2020
- [c13]Haowen Fang, Zaidao Mei, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu:
Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs. ICCAD 2020: 62:1-62:9 - [c12]Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. ICPR 2020: 8275-8282 - [c11]Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu:
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. IJCAI 2020: 2799-2806 - [c10]Haowen Fang, Amar Shrestha, Qinru Qiu:
Multivariate Time Series Classification Using Spiking Neural Networks. IJCNN 2020: 1-7 - [i5]Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET. CoRR abs/2001.02330 (2020) - [i4]Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu:
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. CoRR abs/2003.02944 (2020) - [i3]Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. CoRR abs/2006.03776 (2020) - [i2]Haowen Fang, Amar Shrestha, Qinru Qiu:
Multivariate Time Series Classification Using Spiking Neural Networks. CoRR abs/2007.03547 (2020)
2010 – 2019
- 2019
- [c9]Haowen Fang, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu:
An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. ICCAD 2019: 1-8 - [c8]Amar Shrestha, Haowen Fang, Qing Wu, Qinru Qiu:
Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks. ICONS 2019: 10:1-10:8 - [c7]Haowen Fang, Amar Shrestha, Ziyi Zhao, Yanzhi Wang, Qinru Qiu:
A General Framework to Map Neural Networks onto Neuromorphic Processor. ISQED 2019: 20-25 - 2018
- [j1]Amar Shrestha
, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 782-795 (2018) - [c6]Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu:
Scalable NoC-based Neuromorphic Hardware Learning and Inference. IJCNN 2018: 1-8 - [i1]Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu:
Scalable NoC-based Neuromorphic Hardware Learning and Inference. CoRR abs/1810.09233 (2018) - 2017
- [c5]Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu:
A spike-based long short-term memory on a neurosynaptic processor. ICCAD 2017: 631-637 - [c4]Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu:
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. IJCNN 2017: 1999-2006 - 2016
- [c3]Khadeer Ahmed, Amar Shrestha, Qinru Qiu:
Simulation of bayesian learning and inference on distributed stochastic spiking neural networks. IJCNN 2016: 1044-1051 - [c2]Khadeer Ahmed, Amar Shrestha, Qinru Qiu, Qing Wu:
Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor. IJCNN 2016: 4286-4293 - [c1]Khadeer Ahmed, Amar Shrestha, Yanzhi Wang, Qinru Qiu:
System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference. ISVLSI 2016: 272-277
Coauthor Index
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