Zobrazeno 1 - 10
of 4 092
pro vyhledávání: '"P. Krawiec"'
Deep learning architectures based on convolutional neural networks tend to rely on continuous, smooth features. While this characteristics provides significant robustness and proves useful in many real-world tasks, it is strikingly incompatible with
Externí odkaz:
http://arxiv.org/abs/2411.12070
Autor:
Wyrwiński, Piotr, Krawiec, Krzysztof
In evolutionary computation, it is commonly assumed that a search algorithm acquires knowledge about a problem instance by sampling solutions from the search space and evaluating them with a fitness function. This is necessarily inefficient because f
Externí odkaz:
http://arxiv.org/abs/2411.05820
Autor:
Bednarek, Jakub, Krawiec, Krzysztof
The ability to think abstractly and reason by analogy is a prerequisite to rapidly adapt to new conditions, tackle newly encountered problems by decomposing them, and synthesize knowledge to solve problems comprehensively. We present TransCoder, a me
Externí odkaz:
http://arxiv.org/abs/2410.04480
Autor:
Krawiec, Krzysztof, Nowinowski, Antoni
Contemporary deep learning architectures lack principled means for capturing and handling fundamental visual concepts, like objects, shapes, geometric transforms, and other higher-level structures. We propose a neurosymbolic architecture that uses a
Externí odkaz:
http://arxiv.org/abs/2409.09716
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Akademický článek
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The next generation of searches for neutrinoless double beta decay (0{\nu}\b{eta}\b{eta}) are poised to answer deep questions on the nature of neutrinos and the source of the Universe's matter-antimatter asymmetry. They will be looking for event rate
Externí odkaz:
http://arxiv.org/abs/2312.14372
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Key informant interviews (KII) are a widely used method in qualitative health research to gain in-depth insights from individuals with specialized knowledge, experience, or access that is crucial to the research topic. However, th
Externí odkaz:
https://doaj.org/article/5f177fbc462343a098596153b877f84a
Autor:
Zygmunt Czubiński
Publikováno v:
Acta Societatis Botanicorum Poloniae, Vol 22, Iss 1, Pp 259-266 (2017)
Externí odkaz:
https://doaj.org/article/7f474f252cc14b27b7659d8d51e6de45
Autor:
Koniorczyk, Mátyás, Krawiec, Krzysztof, Botelho, Ludmila, Bešinović, Nikola, Domino, Krzysztof
We address the applicability of hybrid quantum-classical heuristics for practical railway rescheduling management problems. We build an integer linear programming model and solve it with D-Wave's quantum-classical hybrid solver as well as with CPLEX
Externí odkaz:
http://arxiv.org/abs/2309.06763