Gregor Lenz - RankMe

18 papers A* 1B 1C 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Low-power Ship Detection in Satellite Images Using Neuromorphic Hardware. CoRR Gregor Lenz, Douglas McLelland
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`	Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. CoRR Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik
2023	J	`jnl`	Training Spiking Neural Networks Using Lessons From Deep Learning. Proc. IEEE Jason K. Eshraghian, Max Ward, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
2023	J	`jnl`	Ultra-low-power Image Classification on Neuromorphic Hardware. CoRR Gregor Lenz, Garrick Orchard, Sadique Sheik
2022	J	`jnl`	A Framework for Event-based Computer Vision on a Mobile Device. CoRR Gregor Lenz, Serge Picaud, Sio-Hoi Ieng
2022	A*	`conf`	A sampling-based approach for efficient clustering in large datasets. CVPR Georgios Exarchakis, Omar Oubari, Gregor Lenz
2022	J	`jnl`	EXODUS: Stable and Efficient Training of Spiking Neural Networks. CoRR Felix Christian Bauer, Gregor Lenz, Saeid Haghighatshoar, Sadique Sheik
2022	J	`jnl`	Efficient spatio-temporal feature clustering for large event-based datasets. Neuromorph. Comput. Eng. Omar Oubari, Georgios Exarchakis, Gregor Lenz, Ryad Benosman, Sio-Hoi Ieng
2021	J	`jnl`	A sampling-based approach for efficient clustering in large datasets. CoRR Georgios Exarchakis, Omar Oubari, Gregor Lenz
2021	J	`jnl`	Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision. CoRR Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro
2021	—	`—`	Neuromorphic algorithms and hardware for event-based processing. (Algorithmes et architectures matérielles neuromorphiques pour le calcul évènementiel). Gregor Lenz
2021	J	`jnl`	Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
2020	C	`conf`	A Mixed-Signal Spatio-Temporal Signal Classifier for On-Sensor Spike Sorting. ISCAS Germain Haessig, Daniel García-Lesta, Gregor Lenz, Ryad Benosman, Piotr Dudek
2019	B	`conf`	Event-based Visual Gesture Recognition with Background Suppression running on a smart-phone. FG Jean-Matthieu Maro, Gregor Lenz, Christopher Reeves, Ryad Benosman
2018	J	`jnl`	Event-based Dynamic Face Detection and Tracking Based on Activity. CoRR Gregor Lenz, Sio-Hoi Ieng, Ryad Benosman
2018	J	`jnl`	The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. NeuroImage Antonios Makropoulos, Emma C. Robinson, Andreas Schuh, Robert Wright, Sean P. Fitzgibbon, Jelena Bozek, Serena J. Counsell, Johannes K. Steinweg, Katy Vecchiato, Jonathan Passerat-Palmbach, Gregor Lenz, Filippo Mortari, Tencho Tenev, Eugene P. Duff, Matteo Bastiani, Lucilio Cordero-Grande, Emer J. Hughes, Nora Tusor, Daniel Rueckert
2014	—	`conf`	LUMOR: An App for Standardized Control and Monitoring of a Porcine Lung and its Nutrient Cycle. eHealth Gregor Lenz, Matthias Frohner, Stefan Sauermann, Mathias Forjan