Weight convergence of SpikeProp and adaptive learning rate. - Sumit Bam Shrestha; Qing Song 001 (Allerton, 2013)

Online learning with kernel regularized least mean square algorithms. - Haijin Fan; Qing Song 001; Sumit Bam Shrestha (Knowl. Based Syst., 2014)

Adaptive learning rate of SpikeProp based on weight convergence analysis. - Sumit Bam Shrestha; Qing Song 001 (Neural Networks, 2015)

Event Based Weight Update for Learning Infinite Spike Train. - Sumit Bam Shrestha; Qing Song 001 (ICMLA, 2016)

Adaptive delay learning in SpikeProp based on delay convergence analysis. - Sumit Bam Shrestha; Qing Song 001 (IJCNN, 2016)

Kernel online learning with adaptive kernel width. - Haijin Fan; Qing Song 001; Sumit Bam Shrestha (Neurocomputing, 2016)

Robust learning in SpikeProp. - Sumit Bam Shrestha; Qing Song 001 (Neural Networks, 2017)

Robust spike-train learning in spike-event based weight update. - Sumit Bam Shrestha; Qing Song 001 (Neural Networks, 2017)

SLAYER: Spike Layer Error Reassignment in Time. - Sumit Bam Shrestha; Garrick Orchard (NeurIPS, 2018)

Robustness to Training Disturbances in SpikeProp Learning. - Sumit Bam Shrestha; Qing Song 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

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 (AICAS, 2020)

On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. - Kenneth Michael Stewart; Garrick Orchard; Sumit Bam Shrestha; Emre Neftci (AICAS, 2020)

Event-Based Angular Velocity Regression with Spiking Networks. - Mathias Gehrig; Sumit Bam Shrestha; Daniel Mouritzen; Davide Scaramuzza 001 (ICRA, 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)

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 002 (SiPS, 2021)

Spikemax: Spike-based Loss Methods for Classification. - Sumit Bam Shrestha; Longwei Zhu; Pengfei Sun (IJCNN, 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 002 (J. Signal Process. Syst., 2022)

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; et al. (CoRR, 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 002 (Neuromorph. Comput. Eng., 2023)

Efficient Video and Audio Processing with Loihi 2. - Sumit Bam Shrestha; Jonathan Timcheck; Edward Paxon Frady; Leobardo Campos-Macias; Mike Davies 002 (ICASSP, 2024)

Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing. - Kenneth Michael Stewart; Michael Neumeier; Sumit Bam Shrestha; Garrick Orchard; Emre Neftci (CoRR, 2024)

A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing. - Svea Marie Meyer; Philipp Weidel; Philipp Plank; Leobardo Campos-Macias; Sumit Bam Shrestha; Philipp Stratmann; Mathis Richter (CoRR, 2024)

Region Masking to Accelerate Video Processing on Neuromorphic Hardware. - Sreetama Sarkar; Sumit Bam Shrestha; Yue Che; Leobardo Campos-Macias; Gourav Datta; Peter A. Beerel (ISQED, 2025)

A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing. - Svea Marie Meyer; Philipp Weidel; Philipp Plank; Leobardo Campos-Macias; Sumit Bam Shrestha; Philipp Stratmann; Jonathan Timcheck; Mathis Richter (NICE, 2025)

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity. - Alessandro Pierro; Steven Abreu; Jonathan Timcheck; Philipp Stratmann; Andreas Wild; Sumit Bam Shrestha (CoRR, 2025)

Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2. - Steven Abreu; Sumit Bam Shrestha; Rui-Jie Zhu 003; Jason Eshraghian (CoRR, 2025)