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pro vyhledávání: '"Wodecki, A."'
Causal learning from data has received much attention in recent years. One way of capturing causal relationships is by utilizing Bayesian networks. There, one recovers a weighted directed acyclic graph, in which random variables are represented by ve
Externí odkaz:
http://arxiv.org/abs/2410.16100
In this paper, we present a guide to the foundations of learning Dynamic Bayesian Networks (DBNs) from data in the form of multiple samples of trajectories for some length of time. We present the formalism for a generic as well as a set of common typ
Externí odkaz:
http://arxiv.org/abs/2406.17585
There has been a growing interest in causal learning in recent years. Commonly used representations of causal structures, including Bayesian networks and structural equation models (SEM), take the form of directed acyclic graphs (DAGs). We provide a
Externí odkaz:
http://arxiv.org/abs/2406.15229
Autor:
Wodecki, Ales, Marecek, Jakub, Kungurtsev, Vyacheslav, Eichler, Pavel, Korpas, Georgios, Intallura, Philip
The problem of quantum state preparation is one of the main challenges in achieving the quantum advantage. Furthermore, classically, for multi-level problems, our ability to solve the corresponding quantum optimal control problems is rather limited.
Externí odkaz:
http://arxiv.org/abs/2403.14436
Publikováno v:
Mechanical Systems and Signal Processing Volume 198, 1 September 2023, 110430
In this study, a novel non-negative tensor factorization (NTF)-based method for vibration-based local damage detection in rolling element bearings is proposed. As the diagnostic signal registered from a faulty machine is non-stationary, the time-freq
Externí odkaz:
http://arxiv.org/abs/2403.12554
Autor:
Wodecki, Ales, Marecek, Jakub
We consider the problem of learning local quantum Hamiltonians given copies of their Gibbs state at a known inverse temperature, following Haah et al. [2108.04842] and Bakshi et al. [arXiv:2310.02243]. Our main technical contribution is a new flat po
Externí odkaz:
http://arxiv.org/abs/2402.05552
Multi-product pipelines are a highly efficient means of transporting liquids. Traditionally used to transport petroleum, its products and derivatives, they are now being repurposed to transport liquified natural gas admixed with hydrogen of various c
Externí odkaz:
http://arxiv.org/abs/2312.11381
Autor:
Ambroise Le Pogam, Fernanda Medina, Anna Belkacem, Alice Raffetin, Danielle Jaafar, Philippe Wodecki, Camille Corlouer, Alain Dublanchet, Pauline Caraux-Paz, Kevin Diallo
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Bone and joint infections represent a major public health issue due to their increasing prevalence, their functional prognosis and their cost to society. Phage therapy has valuable anti-biofilm properties against prosthetic joint
Externí odkaz:
https://doaj.org/article/64615ca1e5a848dda944fe6ed2a4ef50
Autor:
Witkowski Aron, Wodecki Andrzej
Publikováno v:
Foundations of Management, Vol 16, Iss 1, Pp 139-156 (2024)
While extensive research studies exist on the influence of AI solutions on organizations as a whole, there is a paucity of comprehensive studies examining the adoption of these solutions in product development and subsequent management processes. Thi
Externí odkaz:
https://doaj.org/article/843e5270c4844cfab2c91675b8707a59
As opposed to the distributed control of parabolic PDE's, very few contributions currently exist pertaining to the Dirichlet boundary condition control for parabolic PDE's. This motivates our interest in the Dirichlet boundary condition control for t
Externí odkaz:
http://arxiv.org/abs/2208.13910