Zobrazeno 1 - 10
of 2 510
pro vyhledávání: '"BOYARSKI, A"'
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Non-linear dynamical systems describe numerous real-world phenomena, ranging from the weather, to financial markets and disease progression. Individual systems may share substantial common information, for example patients’ anatomy. Lately
Externí odkaz:
https://doaj.org/article/bd7aa942502c4d5fa394adbc9ccbeff4
Publikováno v:
In Automatica November 2024 169
Graph isomorphism testing is usually approached via the comparison of graph invariants. Two popular alternatives that offer a good trade-off between expressive power and computational efficiency are combinatorial (i.e., obtained via the Weisfeiler-Le
Externí odkaz:
http://arxiv.org/abs/2201.13410
Publikováno v:
IEEE Trans. on Signal Processing, 2023, pages: 3149-3163
In recent years there is a growing effort to provide learning algorithms for spectrum collaboration. In this paper we present a medium access control protocol which allows spectrum collaboration with minimal regret and high spectral efficiency in hig
Externí odkaz:
http://arxiv.org/abs/2111.12581
How can non-communicating agents learn to share congested resources efficiently? This is a challenging task when the agents can access the same resource simultaneously (in contrast to multi-agent multi-armed bandit problems) and the resource valuatio
Externí odkaz:
http://arxiv.org/abs/2103.15901
Conflict-Based Search (CBS) is a powerful algorithmic framework for optimally solving classical multi-agent path finding (MAPF) problems, where time is discretized into the time steps. Continuous-time CBS (CCBS) is a recently proposed version of CBS
Externí odkaz:
http://arxiv.org/abs/2101.09723
Deep Matrix Factorization (DMF) is an emerging approach to the problem of matrix completion. Recent works have established that gradient descent applied to a DMF model induces an implicit regularization on the rank of the recovered matrix. In this wo
Externí odkaz:
http://arxiv.org/abs/1911.07255
Publikováno v:
In Bioelectrochemistry August 2023 152
Autor:
Stern, Roni, Sturtevant, Nathan, Felner, Ariel, Koenig, Sven, Ma, Hang, Walker, Thayne, Li, Jiaoyang, Atzmon, Dor, Cohen, Liron, Kumar, T. K. Satish, Boyarski, Eli, Bartak, Roman
The MAPF problem is the fundamental problem of planning paths for multiple agents, where the key constraint is that the agents will be able to follow these paths concurrently without colliding with each other. Applications of MAPF include automated w
Externí odkaz:
http://arxiv.org/abs/1906.08291
Publikováno v:
Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings, 10302, 681--693
Multidimensional Scaling (MDS) is one of the most popular methods for dimensionality reduction and visualization of high dimensional data. Apart from these tasks, it also found applications in the field of geometry processing for the analysis and rec
Externí odkaz:
http://arxiv.org/abs/1709.03484