Zobrazeno 1 - 10
of 47 907
pro vyhledávání: '"Gramlich, A."'
Publikováno v:
Boletín del CEMLA. ene-mar2008, Vol. 54 Issue 1, p2-5. 4p.
This paper is devoted to the estimation of the Lipschitz constant of general neural network architectures using semidefinite programming. For this purpose, we interpret neural networks as time-varying dynamical systems, where the $k$-th layer corresp
Externí odkaz:
http://arxiv.org/abs/2405.01125
Autor:
Newell, Jim
Publikováno v:
The Baffler, 2012 Jan 01(19), 28-35.
Externí odkaz:
https://www.jstor.org/stable/43307574
Autor:
Lütke, Hans-Josef, Gramlich, Ludwig
Publikováno v:
Datenschutz und Datensicherheit - DuD; Nov2024, Vol. 48 Issue 11, p737-743, 7p
Autor:
Lütke, Hans-Josef, Gramlich, Ludwig
Publikováno v:
Bayerische Verwaltungsblätter (BayVBl.). dec2024, Vol. 155 Issue 24, p833-843. 11p.
Autor:
GRAMLICH, EDWARD M.
Publikováno v:
Vital Speeches of the Day. 11/15/2002, Vol. 69 Issue 3, p68. 7p.
Publikováno v:
Zeitschrift der Deutschen Morgenländischen Gesellschaft, 2009 Jan 01. 159(1), 1-3.
Autor:
Garrett L. Washington
Publikováno v:
The Journal of Japanese Studies. 49:175-180
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c786e84f7994e220b82ce245dd7fa631
https://doi.org/10.1353/jjs.2023.0014
https://doi.org/10.1353/jjs.2023.0014
We present a simple and effective way to account for non-convex costs and constraints~in~state feedback synthesis, and an interpretation for the variables in which state feedback synthesis is typically convex. We achieve this by deriving the controll
Externí odkaz:
http://arxiv.org/abs/2403.15228
From the perspective of control theory, convolutional layers (of neural networks) are 2-D (or N-D) linear time-invariant dynamical systems. The usual representation of convolutional layers by the convolution kernel corresponds to the representation o
Externí odkaz:
http://arxiv.org/abs/2403.11938