Sumit Bam Shrestha

According to our database, Sumit Bam Shrestha authored at least 20 papers between 2013 and 2023.

Collaborative distances:

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

2023

The Intel neuromorphic DNS challenge.

Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies

Neuromorph. Comput. Eng., September, 2023

Efficient Video and Audio processing with Loihi 2.

Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies

CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

2022

Efficient Neuromorphic Signal Processing with Resonator Neurons.

Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies

J. Signal Process. Syst., 2022

Spikemax: Spike-based Loss Methods for Classification.

Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Efficient Neuromorphic Signal Processing with Loihi 2.

Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020

Online Few-Shot Gesture Learning on a Neuromorphic Processor.

Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Event-Based Angular Velocity Regression with Spiking Networks.

Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor.

Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor.

Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2018

Robustness to Training Disturbances in SpikeProp Learning.

Sumit Bam Shrestha, Qing Song

IEEE Trans. Neural Networks Learn. Syst., 2018

SLAYER: Spike Layer Error Reassignment in Time.

Sumit Bam Shrestha, Garrick Orchard

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Robust spike-train learning in spike-event based weight update.

Sumit Bam Shrestha, Qing Song

Neural Networks, 2017

Robust learning in SpikeProp.

Sumit Bam Shrestha, Qing Song

Neural Networks, 2017

2016

Kernel online learning with adaptive kernel width.

Haijin Fan, Qing Song, Sumit Bam Shrestha

Neurocomputing, 2016

Adaptive delay learning in SpikeProp based on delay convergence analysis.

Sumit Bam Shrestha, Qing Song

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

Event Based Weight Update for Learning Infinite Spike Train.

Sumit Bam Shrestha, Qing Song

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Adaptive learning rate of SpikeProp based on weight convergence analysis.

Sumit Bam Shrestha, Qing Song

Neural Networks, 2015

2014

Online learning with kernel regularized least mean square algorithms.

Haijin Fan, Qing Song, Sumit Bam Shrestha

Knowl. Based Syst., 2014

2013

Weight convergence of SpikeProp and adaptive learning rate.

Sumit Bam Shrestha, Qing Song

Proceedings of the 51st Annual Allerton Conference on Communication, 2013