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pro vyhledávání: '"Fong, Robert"'
This paper explores the representational structure of linear Simple Cycle Reservoirs (SCR) operating at the edge of stability. We view SCR as providing in their state space feature representations of the input-driving time series. By endowing the sta
Externí odkaz:
http://arxiv.org/abs/2412.00295
Reservoir Computing (RC) models, a subclass of recurrent neural networks, are distinguished by their fixed, non-trainable input layer and dynamically coupled reservoir, with only the static readout layer being trained. This design circumvents the iss
Externí odkaz:
http://arxiv.org/abs/2408.08071
Boolean satisfiability (SAT) is a propositional logic problem of determining whether an assignment of variables satisfies a Boolean formula. Many combinatorial optimization problems can be formulated in Boolean SAT logic -- either as k-SAT decision p
Externí odkaz:
http://arxiv.org/abs/2408.03757
Publikováno v:
International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024
This work proposes a time series prediction method based on the kernel view of linear reservoirs. In particular, the time series motifs of the reservoir kernel are used as representational basis on which general readouts are constructed. We provide a
Externí odkaz:
http://arxiv.org/abs/2405.07045
Publikováno v:
Journal of Machine Learning Research 25 (2024) 1-28
Reservoir computation models form a subclass of recurrent neural networks with fixed non-trainable input and dynamic coupling weights. Only the static readout from the state space (reservoir) is trainable, thus avoiding the known problems with propag
Externí odkaz:
http://arxiv.org/abs/2308.10793
Autor:
Fong, Robert Simon, Tino, Peter
We present Extended Riemannian Stochastic Derivative-Free Optimization (Extended RSDFO), a novel population-based stochastic optimization algorithm on Riemannian manifolds that addresses the locality and implicit assumptions of manifold optimization
Externí odkaz:
http://arxiv.org/abs/1908.06783
Publikováno v:
PLoS ONE. 9/26/2023, Vol. 18 Issue 9, p1-29. 29p.
Akademický článek
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Autor:
Fong, Robert
Publikováno v:
Aerospace Medicine & Human Performance; Aug2024, Vol. 95 Issue 8, p461-462, 2p
Autor:
Das, Rhiju, Kudaravalli, Madhuri, Jonikas, Magdalena, Laederach, Alain, Fong, Robert, Schwans, Jason P., Baker, David, Piccirilli, Joseph A., Altman, Russ B., Herschlag, Daniel
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2008 Mar . 105(11), 4144-4149.
Externí odkaz:
https://www.jstor.org/stable/25461385