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Gregor Lenz
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2020 – today
- 2024
- [i10]Gregor Lenz, Douglas McLelland:
Low-power Ship Detection in Satellite Images Using Neuromorphic Hardware. CoRR abs/2406.11319 (2024) - 2023
- [j3]Jason K. Eshraghian
, Max Ward
Training Spiking Neural Networks Using Lessons From Deep Learning. Proc. IEEE 111(9): 1016-1054 (2023) - [d1]Steven Abreu
Neuromorphic Intermediate Representation. Zenodo, 2023 - [i9]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
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i8]Gregor Lenz, Garrick Orchard, Sadique Sheik:
Ultra-low-power Image Classification on Neuromorphic Hardware. CoRR abs/2309.16795 (2023) - [i7]Jens E. Pedersen, Steven Abreu, Matthias Jobst
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. CoRR abs/2311.14641 (2023) - 2022
- [j2]Omar Oubari, Georgios Exarchakis
Efficient spatio-temporal feature clustering for large event-based datasets. Neuromorph. Comput. Eng. 2(4): 44004 (2022) - [c4]Georgios Exarchakis
A sampling-based approach for efficient clustering in large datasets. CVPR 2022: 12393-12402 - [i6]Gregor Lenz, Serge Picaud, Sio-Hoi Ieng:
A Framework for Event-based Computer Vision on a Mobile Device. CoRR abs/2205.06836 (2022) - [i5]Felix Christian Bauer, Gregor Lenz, Saeid Haghighatshoar, Sadique Sheik:
EXODUS: Stable and Efficient Training of Spiking Neural Networks. CoRR abs/2205.10242 (2022) - 2021
- [b1]Gregor Lenz:
Neuromorphic algorithms and hardware for event-based processing. (Algorithmes et architectures matérielles neuromorphiques pour le calcul évènementiel). Sorbonne University, France, 2021 - [i4]Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu:
Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR abs/2109.12894 (2021) - [i3]Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro:
Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision. CoRR abs/2110.02929 (2021) - [i2]Georgios Exarchakis, Omar Oubari, Gregor Lenz:
A sampling-based approach for efficient clustering in large datasets. CoRR abs/2112.14793 (2021) - 2020
- [c3]Germain Haessig, Daniel García-Lesta, Gregor Lenz, Ryad Benosman, Piotr Dudek:
A Mixed-Signal Spatio-Temporal Signal Classifier for On-Sensor Spike Sorting. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [c2]Jean-Matthieu Maro, Gregor Lenz, Christopher Reeves, Ryad Benosman:
Event-based Visual Gesture Recognition with Background Suppression running on a smart-phone. FG 2019: 1 - 2018
- [j1]Antonios Makropoulos, Emma C. Robinson
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. NeuroImage 173: 88-112 (2018) - [i1]Gregor Lenz, Sio-Hoi Ieng, Ryad Benosman:
Event-based Dynamic Face Detection and Tracking Based on Activity. CoRR abs/1803.10106 (2018) - 2014
- [c1]Gregor Lenz, Matthias Frohner, Stefan Sauermann
LUMOR: An App for Standardized Control and Monitoring of a Porcine Lung and its Nutrient Cycle. eHealth 2014: 79-86
Coauthor Index
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last updated on 2024-11-08 21:33 CET by the dblp team
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