Sumit Bam Shrestha

38 papers A* 3B 2C 1Misc 1Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Compute and Communication Runtime Model for Loihi 2. CoRR Jonathan Timcheck, Alessandro Pierro, Sumit Bam Shrestha
2025	—	`conf`	A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing. NICE Svea Marie Meyer, Philipp Weidel, Philipp Plank, Leobardo Campos-Macias, Sumit Bam Shrestha, Philipp Stratmann, Jonathan Timcheck, Mathis Richter
2025	A*	`conf`	Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity. ICML Alessandro Pierro, Steven Abreu, Jonathan Timcheck, Philipp Stratmann, Andreas Wild, Sumit Bam Shrestha
2025	J	`jnl`	Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity. CoRR Alessandro Pierro, Steven Abreu, Jonathan Timcheck, Philipp Stratmann, Andreas Wild, Sumit Bam Shrestha
2025	J	`jnl`	Autonomous Reinforcement Learning Robot Control with Intel's Loihi 2 Neuromorphic Hardware. CoRR Kenneth Stewart, Roxana Leontie, Samantha Chapin, Joe Hays, Sumit Bam Shrestha, Carl Glen Henshaw
2025	J	`jnl`	Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2. CoRR Steven Abreu, Sumit Bam Shrestha, Rui-Jie Zhu, Jason Eshraghian
2025	—	`conf`	Region Masking to Accelerate Video Processing on Neuromorphic Hardware. ISQED Sreetama Sarkar, Sumit Bam Shrestha, Yue Che, Leobardo Campos-Macias, Gourav Datta, Peter A. Beerel
2025	J	`jnl`	Region Masking to Accelerate Video Processing on Neuromorphic Hardware. CoRR Sreetama Sarkar, Sumit Bam Shrestha, Yue Che, Leobardo Campos-Macias, Gourav Datta, Peter A. Beerel
2024	J	`jnl`	A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing. CoRR Svea Marie Meyer, Philipp Weidel, Philipp Plank, Leobardo Campos-Macias, Sumit Bam Shrestha, Philipp Stratmann, Mathis Richter
2024	Misc	`conf`	Efficient Video and Audio Processing with Loihi 2. ICASSP Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
2024	J	`jnl`	Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing. CoRR Kenneth Michael Stewart, Michael Neumeier, Sumit Bam Shrestha, Garrick Orchard, Emre Neftci
2023	J	`jnl`	Efficient Video and Audio processing with Loihi 2. CoRR Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR 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, P. 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
2023	J	`jnl`	The Intel Neuromorphic DNS Challenge. CoRR Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies
2023	J	`jnl`	The Intel neuromorphic DNS challenge. Neuromorph. Comput. Eng. Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies
2022	J	`jnl`	Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies
2022	B	`conf`	Spikemax: Spike-based Loss Methods for Classification. IJCNN Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun
2022	J	`jnl`	Spikemax: Spike-based Loss Methods for Classification. CoRR Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun
2021	—	`conf`	Efficient Neuromorphic Signal Processing with Loihi 2. SiPS Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
2021	J	`jnl`	Efficient Neuromorphic Signal Processing with Loihi 2. CoRR Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
2020	A*	`conf`	Event-Based Angular Velocity Regression with Spiking Networks. ICRA Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza
2020	J	`jnl`	Event-Based Angular Velocity Regression with Spiking Networks. CoRR Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza
2020	—	`conf`	Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
2020	—	`conf`	On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
2020	J	`jnl`	Online Few-Shot Gesture Learning on a Neuromorphic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
2020	J	`jnl`	Online Few-shot Gesture Learning on a Neuromorphic Processor. CoRR Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
2019	J	`jnl`	On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. CoRR Kenneth Michael Stewart, Emre Neftci, Garrick Orchard, Sumit Bam Shrestha
2018	J	`jnl`	Robustness to Training Disturbances in SpikeProp Learning. IEEE Trans. Neural Networks Learn. Syst. Sumit Bam Shrestha, Qing Song
2018	A*	`conf`	SLAYER: Spike Layer Error Reassignment in Time. NeurIPS Sumit Bam Shrestha, Garrick Orchard
2018	J	`jnl`	SLAYER: Spike Layer Error Reassignment in Time. CoRR Sumit Bam Shrestha, Garrick Orchard
2017	J	`jnl`	Robust learning in SpikeProp. Neural Networks Sumit Bam Shrestha, Qing Song
2017	J	`jnl`	Robust spike-train learning in spike-event based weight update. Neural Networks Sumit Bam Shrestha, Qing Song
2016	B	`conf`	Adaptive delay learning in SpikeProp based on delay convergence analysis. IJCNN Sumit Bam Shrestha, Qing Song
2016	C	`conf`	Event Based Weight Update for Learning Infinite Spike Train. ICMLA Sumit Bam Shrestha, Qing Song
2016	J	`jnl`	Kernel online learning with adaptive kernel width. Neurocomputing Haijin Fan, Qing Song, Sumit Bam Shrestha
2015	J	`jnl`	Adaptive learning rate of SpikeProp based on weight convergence analysis. Neural Networks Sumit Bam Shrestha, Qing Song
2014	J	`jnl`	Online learning with kernel regularized least mean square algorithms. Knowl. Based Syst. Haijin Fan, Qing Song, Sumit Bam Shrestha
2013	—	`conf`	Weight convergence of SpikeProp and adaptive learning rate. Allerton Sumit Bam Shrestha, Qing Song