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2020 – today
- 2024
[c10]Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies:
Efficient Video and Audio Processing with Loihi 2. ICASSP 2024: 13481-13485- [i11]Kenneth Michael Stewart, Michael Neumeier, Sumit Bam Shrestha, Garrick Orchard, Emre Neftci:
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing. CoRR abs/2408.15800 (2024) - [i10]Svea Marie Meyer, Philipp Weidel, Philipp Plank, Leobardo Campos-Macias, Sumit Bam Shrestha, Philipp Stratmann, Mathis Richter:
A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing. CoRR abs/2409.15022 (2024) - 2023
- [j9]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): 34005 (2023) - [i9]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. CoRR abs/2303.09503 (2023) - [i8]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:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i7]Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies:
Efficient Video and Audio processing with Loihi 2. CoRR abs/2310.03251 (2023) - 2022
- [j8]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): 917-927 (2022) - [c9]Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun:
Spikemax: Spike-based Loss Methods for Classification. IJCNN 2022: 1-7 - [i6]Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun:
Spikemax: Spike-based Loss Methods for Classification. CoRR abs/2205.09845 (2022) - 2021
- [c8]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: 254-259 - [i5]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 abs/2111.03746 (2021) - 2020
- [j7]Kenneth Michael 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): 512-521 (2020) - [c7]Kenneth Michael 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: 128 - [c6]Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci:
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS 2020: 223-227 - [c5]Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza:
Event-Based Angular Velocity Regression with Spiking Networks. ICRA 2020: 4195-4202 - [i4]Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza:
Event-Based Angular Velocity Regression with Spiking Networks. CoRR abs/2003.02790 (2020) - [i3]Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci:
Online Few-shot Gesture Learning on a Neuromorphic Processor. CoRR abs/2008.01151 (2020)
2010 – 2019
- 2019
- [i2]Kenneth Michael Stewart, Emre Neftci, Garrick Orchard, Sumit Bam Shrestha:
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. CoRR abs/1910.04972 (2019) - 2018
- [j6]Sumit Bam Shrestha, Qing Song:
Robustness to Training Disturbances in SpikeProp Learning. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3126-3139 (2018) - [c4]Sumit Bam Shrestha, Garrick Orchard:
SLAYER: Spike Layer Error Reassignment in Time. NeurIPS 2018: 1419-1428 - [i1]Sumit Bam Shrestha, Garrick Orchard:
SLAYER: Spike Layer Error Reassignment in Time. CoRR abs/1810.08646 (2018) - 2017
- [j5]Sumit Bam Shrestha, Qing Song:
Robust learning in SpikeProp. Neural Networks 86: 54-68 (2017) - [j4]Sumit Bam Shrestha, Qing Song:
Robust spike-train learning in spike-event based weight update. Neural Networks 96: 33-46 (2017) - 2016
- [j3]Haijin Fan, Qing Song, Sumit Bam Shrestha:
Kernel online learning with adaptive kernel width. Neurocomputing 175: 233-242 (2016) - [c3]Sumit Bam Shrestha, Qing Song:
Event Based Weight Update for Learning Infinite Spike Train. ICMLA 2016: 333-338 - [c2]Sumit Bam Shrestha, Qing Song:
Adaptive delay learning in SpikeProp based on delay convergence analysis. IJCNN 2016: 277-284 - 2015
- [j2]Sumit Bam Shrestha, Qing Song:
Adaptive learning rate of SpikeProp based on weight convergence analysis. Neural Networks 63: 185-198 (2015) - 2014
- [j1]Haijin Fan, Qing Song, Sumit Bam Shrestha:
Online learning with kernel regularized least mean square algorithms. Knowl. Based Syst. 59: 21-32 (2014) - 2013
- [c1]Sumit Bam Shrestha, Qing Song:
Weight convergence of SpikeProp and adaptive learning rate. Allerton 2013: 506-511
Coauthor Index
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