Sumit Bam Shrestha

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Robust Classification

Convergence Analysis

Top Venues

Neural Networks

Publications

Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
Efficient Video and Audio Processing with Loihi 2. ICASSP (2024)
Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies
The Intel neuromorphic DNS challenge. Neuromorph. Comput. Eng. 3 (3) (2023)
Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy Shea, Mike Davies
The Intel Neuromorphic DNS Challenge. CoRR (2023)
Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
Efficient Video and Audio processing with Loihi 2. CoRR (2023)
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 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
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (2023)
Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun
Spikemax: Spike-based Loss Methods for Classification. CoRR (2022)
Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. 94 (10) (2022)
Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun
Spikemax: Spike-based Loss Methods for Classification. IJCNN (2022)
Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Loihi 2. CoRR (2021)
Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Loihi 2. SiPS (2021)
Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS (2020)
Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
Online Few-shot Gesture Learning on a Neuromorphic Processor. CoRR (2020)
Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS (2020)
Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
Online Few-Shot Gesture Learning on a Neuromorphic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (4) (2020)
Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza
Event-Based Angular Velocity Regression with Spiking Networks. CoRR (2020)
Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza
Event-Based Angular Velocity Regression with Spiking Networks. ICRA (2020)
Kenneth Stewart, Emre Neftci, Garrick Orchard, Sumit Bam Shrestha
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. CoRR (2019)
Sumit Bam Shrestha, Qing Song
Robustness to Training Disturbances in SpikeProp Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Sumit Bam Shrestha, Garrick Orchard
SLAYER: Spike Layer Error Reassignment in Time. NeurIPS (2018)
Sumit Bam Shrestha, Garrick Orchard
SLAYER: Spike Layer Error Reassignment in Time. CoRR (2018)
Sumit Bam Shrestha, Qing Song
Robust learning in SpikeProp. Neural Networks 86 (2017)
Sumit Bam Shrestha, Qing Song
Robust spike-train learning in spike-event based weight update. Neural Networks 96 (2017)
Sumit Bam Shrestha, Qing Song
Event Based Weight Update for Learning Infinite Spike Train. ICMLA (2016)
Sumit Bam Shrestha, Qing Song
Adaptive delay learning in SpikeProp based on delay convergence analysis. IJCNN (2016)
Haijin Fan, Qing Song, Sumit Bam Shrestha
Kernel online learning with adaptive kernel width. Neurocomputing 175 (2016)
Sumit Bam Shrestha, Qing Song
Adaptive learning rate of SpikeProp based on weight convergence analysis. Neural Networks 63 (2015)
Haijin Fan, Qing Song, Sumit Bam Shrestha
Online learning with kernel regularized least mean square algorithms. Knowl. Based Syst. 59 (2014)
Sumit Bam Shrestha, Qing Song
Weight convergence of SpikeProp and adaptive learning rate. Allerton (2013)