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pro vyhledávání: '"P. Wilinski"'
Time series foundation models have shown impressive performance on a variety of tasks, across a wide range of domains, even in zero-shot settings. However, most of these models are designed to handle short univariate time series as an input. This lim
Externí odkaz:
http://arxiv.org/abs/2409.13530
Time series foundation models (TSFMs) promise to be powerful tools for a wide range of applications. However, their internal representations and learned concepts are still not well understood. In this study, we investigate the structure and redundanc
Externí odkaz:
http://arxiv.org/abs/2409.12915
Autor:
Potosnak, Willa, Challu, Cristian, Goswami, Mononito, Wiliński, Michał, Żukowska, Nina, Dubrawski, Artur
Recently, time series foundation models have shown promising zero-shot forecasting performance on time series from a wide range of domains. However, it remains unclear whether their success stems from a true understanding of temporal dynamics or simp
Externí odkaz:
http://arxiv.org/abs/2409.10840
Autor:
Wilinski, Mateusz, Lokhov, Andrey Y.
Recent years have seen a lot of progress in algorithms for learning parameters of spreading dynamics from both full and partial data. Some of the remaining challenges include model selection under the scenarios of unknown network structure, noisy dat
Externí odkaz:
http://arxiv.org/abs/2401.00011
Publikováno v:
IEEE Transactions on Computational Social Systems 2024
The two most common types of electoral systems (ES) used in electing national legislatures are proportional representation and plurality voting. When they are evaluated, most often the arguments come from social choice theory and political sciences.
Externí odkaz:
http://arxiv.org/abs/2308.10066
Autor:
Wilinski, Mateusz, Castro, Lauren, Keithley, Jeffrey, Manore, Carrie, Campos, Josefina, Romero-Severson, Ethan, Domman, Daryl, Lokhov, Andrey Y.
Cholera continues to be a global health threat. Understanding how cholera spreads between locations is fundamental to the rational, evidence-based design of intervention and control efforts. Traditionally, cholera transmission models have utilized ch
Externí odkaz:
http://arxiv.org/abs/2210.01956
Publikováno v:
IEEE Access, Vol 12, Pp 181041-181051 (2024)
In this paper, the implementation of the global roots and poles finding algorithm for a complex-valued function of a complex variable on a quantum computer, which allows for solving general nonlinear algebraic equations, is presented. The considered
Externí odkaz:
https://doaj.org/article/16e9c7b62ad84baba8bb9b61882252d9
Publikováno v:
Phys. Rev. E 104, 024309 (2021)
When dealing with spreading processes on networks it can be of the utmost importance to test the reliability of data and identify potential unobserved spreading paths. In this paper we address these problems and propose methods for hidden layer ident
Externí odkaz:
http://arxiv.org/abs/2101.11758
Autor:
Wilinski, Mateusz, Lokhov, Andrey Y.
Spreading processes play an increasingly important role in modeling for diffusion networks, information propagation, marketing and opinion setting. We address the problem of learning of a spreading model such that the predictions generated from this
Externí odkaz:
http://arxiv.org/abs/2007.06557
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