Zobrazeno 1 - 10
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pro vyhledávání: '"Asikis, Thomas"'
Autor:
Böttcher, Lucas, Asikis, Thomas
Publikováno v:
Machine Learning: Science and Technology (2022)
Optimal control problems naturally arise in many scientific applications where one wishes to steer a dynamical system from a certain initial state $\mathbf{x}_0$ to a desired target state $\mathbf{x}^*$ in finite time $T$. Recent advances in deep lea
Externí odkaz:
http://arxiv.org/abs/2206.11120
Publikováno v:
INFORMS J. Comput. 35, 1308--1328 (2023)
A key challenge in inventory management is to identify policies that optimally replenish inventory from multiple suppliers. To solve such optimization problems, inventory managers need to decide what quantities to order from each supplier, given the
Externí odkaz:
http://arxiv.org/abs/2201.06126
Autor:
Asikis, Thomas
Sustainable consumption aims to minimize the environmental and societal impact of the use of services and products. Over-consumption of services and products leads to potential natural resource exhaustion and societal inequalities as access to goods
Externí odkaz:
http://arxiv.org/abs/2111.05944
Publikováno v:
Nature Communications 13, 333 (2022)
Although optimal control problems of dynamical systems can be formulated within the framework of variational calculus, their solution for complex systems is often analytically and computationally intractable. In this Letter we present a versatile neu
Externí odkaz:
http://arxiv.org/abs/2103.06525
Publikováno v:
Phys. Rev. Research 4, 013221 (2022)
We study the ability of neural networks to calculate feedback control signals that steer trajectories of continuous time non-linear dynamical systems on graphs, which we represent with neural ordinary differential equations (neural ODEs). To do so, w
Externí odkaz:
http://arxiv.org/abs/2006.09773
In a so-called overpopulated world, sustainable consumption is of existential importance.However, the expanding spectrum of product choices and their production complexity challenge consumers to make informed and value-sensitive decisions. Recent app
Externí odkaz:
http://arxiv.org/abs/2004.09180
Autor:
Asikis, Thomas, Pournaras, Evangelos
The pervasiveness of Internet of Things results in vast volumes of personal data generated by smart devices of users (data producers) such as smart phones, wearables and other embedded sensors. It is a common requirement, especially for Big Data anal
Externí odkaz:
http://arxiv.org/abs/1710.03186
Autor:
Asikis, Thomas, Pournaras, Evangelos
Publikováno v:
In Future Generation Computer Systems August 2020 109:488-499
Akademický článek
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Autor:
Böttcher, Lucas1 (AUTHOR) l.boettcher@fs.de, Asikis, Thomas2 (AUTHOR) thomas.asikis@uzh.ch, Fragkos, Ioannis3 (AUTHOR) fragkos@rsm.nl
Publikováno v:
INFORMS Journal on Computing. Nov/Dec2023, Vol. 35 Issue 6, p1308-1328. 21p.