Zobrazeno 1 - 10
of 1 370
pro vyhledávání: '"Malarz, A."'
Autor:
Kaleta, Joanna, Smolak-Dyżewska, Weronika, Malarz, Dawid, Dall'Alba, Diego, Korzeniowski, Przemysław, Spurek, Przemysław
Endoscopic procedures are crucial for colorectal cancer diagnosis, and three-dimensional reconstruction of the environment for real-time novel-view synthesis can significantly enhance diagnosis. We present PR-ENDO, a framework that leverages 3D Gauss
Externí odkaz:
http://arxiv.org/abs/2411.12510
Autor:
Smolak-Dyżewska, Weronika, Malarz, Dawid, Howil, Kornel, Kaczmarczyk, Jan, Mazur, Marcin, Spurek, Przemysław
Implicit Neural Representations (INRs) employ neural networks to approximate discrete data as continuous functions. In the context of video data, such models can be utilized to transform the coordinates of pixel locations along with frame occurrence
Externí odkaz:
http://arxiv.org/abs/2411.11024
The phenomenon of Heider (structural) balance is known for a long time (P. Bonacich and P. Lu, Introduction to Mathematical Sociology, Princeton UP, 2012). Yet it attracts attention of numerous computational scholars, as it is an example of a macrosc
Externí odkaz:
http://arxiv.org/abs/2407.02603
Publikováno v:
Chaos 34(6), 063105 (2024)
Possibility of reaching a consensus in social systems with strong initial fragmentation is one of the most interesting issues in sociopysics. It is also intriguing what the dynamics of such processes is. To address those problems, we performed comput
Externí odkaz:
http://arxiv.org/abs/2405.05114
Autor:
Batorski, Paweł, Malarz, Dawid, Przewięźlikowski, Marcin, Mazur, Marcin, Tadeja, Sławomir, Spurek, Przemysław
Neural radiance fields (NeRFs) are a widely accepted standard for synthesizing new 3D object views from a small number of base images. However, NeRFs have limited generalization properties, which means that we need to use significant computational re
Externí odkaz:
http://arxiv.org/abs/2402.01524
Neural Radiance Fields (NeRFs) have demonstrated the remarkable potential of neural networks to capture the intricacies of 3D objects. By encoding the shape and color information within neural network weights, NeRFs excel at producing strikingly shar
Externí odkaz:
http://arxiv.org/abs/2312.13729
Autor:
Malarz, Krzysztof
Publikováno v:
Phys. Rev. E 109 (2024) 034108
The phenomenon of percolation is one of the core topics in statistical mechanics. It allows one to study the phase transition known in real physical systems only in a purely geometrical way. In this paper, we determine thresholds $p_c$ for random sit
Externí odkaz:
http://arxiv.org/abs/2310.20668
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Compounds that can induce oxidative stress in cancer cells while remaining nontoxic to healthy cells are extremely promising for potential anticancer drugs. 2,2′:6′,2′′-terpyridine-metal complexes possess these properties. The high l
Externí odkaz:
https://doaj.org/article/7607070c75284fb7a89ff78c8fb8336d
Autor:
Malarz, Krzysztof
Publikováno v:
Physica A 632 (1), 129347 (2023)
The site percolation problem is one of the core topics in statistical physics. Evaluation of the percolation threshold, which separates two phases (sometimes described as conducting and insulating), is useful for a range of problems from core condens
Externí odkaz:
http://arxiv.org/abs/2303.10423
Scientific cooperation on an international level has been well studied in the literature. However, much less is known about this cooperation on the intercontinental level. In this paper, we address this issue by creating a collection of approximately
Externí odkaz:
http://arxiv.org/abs/2303.07356