Amar Shrestha

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 22

Top Topics

Bayesian Learning

Natural Language Queries

Multivariate Time Series

Biologically Plausible

Top Venues

Publications

Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. CoRR (2021)
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)
Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li
1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. ISCAS (2021)
Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. CoRR (2020)
Haowen Fang, Amar Shrestha, Qinru Qiu
Multivariate Time Series Classification Using Spiking Neural Networks. IJCNN (2020)
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)
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. ICPR (2020)
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)
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. CoRR (2020)
Haowen Fang, Amar Shrestha, Qinru Qiu
Multivariate Time Series Classification Using Spiking Neural Networks. CoRR (2020)
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET. CoRR (2020)
Haowen Fang, Amar Shrestha, Ziyi Zhao, Yanzhi Wang, Qinru Qiu
A General Framework to Map Neural Networks onto Neuromorphic Processor. ISQED (2019)
Amar Shrestha, Haowen Fang, Qing Wu, Qinru Qiu
Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks. ICONS (2019)
Haowen Fang, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu
An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. ICCAD (2019)
Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu
Scalable NoC-based Neuromorphic Hardware Learning and Inference. IJCNN (2018)
Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu
Scalable NoC-based Neuromorphic Hardware Learning and Inference. CoRR (2018)
Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (4) (2018)
Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. IJCNN (2017)
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)
Khadeer Ahmed, Amar Shrestha, Qinru Qiu
Simulation of bayesian learning and inference on distributed stochastic spiking neural networks. IJCNN (2016)
Khadeer Ahmed, Amar Shrestha, Yanzhi Wang, Qinru Qiu
System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference. ISVLSI (2016)
Khadeer Ahmed, Amar Shrestha, Qinru Qiu, Qing Wu
Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor. IJCNN (2016)