Zobrazeno 1 - 10
of 4 122
pro vyhledávání: '"Jens, E."'
Autor:
Abreu, Steven, Pedersen, Jens E.
The value of brain-inspired neuromorphic computers critically depends on our ability to program them for relevant tasks. Currently, neuromorphic hardware often relies on machine learning methods adapted from deep learning. However, neuromorphic compu
Externí odkaz:
http://arxiv.org/abs/2410.22352
Autor:
Thaler, Peter
Publikováno v:
Scandinavian Studies, 2020 Apr 01. 92(1), 137-139.
Externí odkaz:
https://www.jstor.org/stable/10.5406/scanstud.92.1.0137
In the quest for next-generation sequence modeling architectures, State Space Models (SSMs) have emerged as a potent alternative to transformers, particularly for their computational efficiency and suitability for dynamical systems. This paper invest
Externí odkaz:
http://arxiv.org/abs/2406.09477
Autor:
ANDERSON, MARTIN
Publikováno v:
Fanfare: The Magazine for Serious Record Collectors. Mar/Apr2017, Vol. 40 Issue 4, p32-44. 6p.
Autor:
Pedersen, Jens E., Abreu, Steven, Jobst, Matthias, Lenz, Gregor, Fra, Vittorio, Bauer, Felix C., Muir, Dylan R., Zhou, Peng, Vogginger, Bernhard, Heckel, Kade, Urgese, Gianvito, Shankar, Sadasivan, Stewart, Terrence C., Sheik, Sadique, Eshraghian, Jason K.
Publikováno v:
Nat Commun 15, 8122 (2024)
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established mathematical foundation for neur
Externí odkaz:
http://arxiv.org/abs/2311.14641