Amar Shrestha

According to our database, Amar Shrestha authored at least 17 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity.

Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor.

Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET.

Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu

CoRR, 2020

Multivariate Time Series Classification Using Spiking Neural Networks.

Haowen Fang, Amar Shrestha, Qinru Qiu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network.

Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level.

Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs.

Haowen Fang, Zaidao Mei, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

A General Framework to Map Neural Networks onto Neuromorphic Processor.

Haowen Fang, Amar Shrestha, Ziyi Zhao, Yanzhi Wang, Qinru Qiu

Proceedings of the 20th International Symposium on Quality Electronic Design, 2019

Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks.

Amar Shrestha, Haowen Fang, Qing Wu, Qinru Qiu

Proceedings of the International Conference on Neuromorphic Systems, 2019

An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics.

Haowen Fang, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu

Proceedings of the International Conference on Computer-Aided Design, 2019

2018

Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor.

Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Scalable NoC-based Neuromorphic Hardware Learning and Inference.

Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning.

Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A spike-based long short-term memory on a neurosynaptic processor.

Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

2016

System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference.

Khadeer Ahmed, Amar Shrestha, Yanzhi Wang, Qinru Qiu

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016

Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor.

Khadeer Ahmed, Amar Shrestha, Qinru Qiu, Qing Wu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Simulation of bayesian learning and inference on distributed stochastic spiking neural networks.

Khadeer Ahmed, Amar Shrestha, Qinru Qiu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016