Zobrazeno 1 - 10
of 4 083
pro vyhledávání: '"Bors, A"'
Autor:
Figgener, Jan, Bors, Jakob, Kuipers, Matthias, Hildenbrand, Felix, Junker, Mark, Koltermann, Lucas, Woerner, Philipp, Mennekes, Marc, Haberschusz, David, Kairies, Kai-Philipp, Sauer, Dirk Uwe
A battery's open circuit voltage (OCV) curve can be seen as its electrochemical signature. Its shape and age-related shift provide information on aging processes and material composition on both electrodes. However, most OCV analyses have to be condu
Externí odkaz:
http://arxiv.org/abs/2411.08025
Autor:
Bors, Dorota, Stańczy, Robert
The existence of solutions to Tolman-Openheimer-Volkoff equation with linear equation of state modeling relativistic cloud of interacting particles is proved for mass parameter below certain threshold. For the intermediate values of mass parameters m
Externí odkaz:
http://arxiv.org/abs/2408.09751
Deeper Vision Transformers (ViTs) are more challenging to train. We expose a degradation problem in deeper layers of ViT when using masked image modeling (MIM) for pre-training. To ease the training of deeper ViTs, we introduce a self-supervised lear
Externí odkaz:
http://arxiv.org/abs/2309.14136
We show that the transition function of the cascaded connection of two FSRs can be viewed as a wreath product element. This allows us to study periods of cascaded connections with algebraic methods, obtaining both a general, nontrivial upper bound on
Externí odkaz:
http://arxiv.org/abs/2309.10265
The functional graph of a function $g:X\rightarrow X$ is the directed graph with vertex set $X$ the edges of which are of the form $x\rightarrow g(x)$ for $x\in X$. Functional graphs are heavily studied because they allow one to understand the behavi
Externí odkaz:
http://arxiv.org/abs/2304.00181
Autor:
Huang, Guoxi, Bors, Adrian G.
Static appearance of video may impede the ability of a deep neural network to learn motion-relevant features in video action recognition. In this paper, we introduce a new concept, Dynamic Appearance (DA), summarizing the appearance information relat
Externí odkaz:
http://arxiv.org/abs/2211.12748
Autor:
Ye, Fei, Bors, Adrian G.
Learning from non-stationary data streams, also called Task-Free Continual Learning (TFCL) remains challenging due to the absence of explicit task information. Although recently some methods have been proposed for TFCL, they lack theoretical guarante
Externí odkaz:
http://arxiv.org/abs/2210.06579
Autor:
Sacha Bors, Daniel Abler, Matthieu Dietz, Vincent Andrearczyk, Julien Fageot, Marie Nicod-Lalonde, Niklaus Schaefer, Robert DeKemp, Christel H. Kamani, John O. Prior, Adrien Depeursinge
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Assessing the individual risk of Major Adverse Cardiac Events (MACE) is of major importance as cardiovascular diseases remain the leading cause of death worldwide. Quantitative Myocardial Perfusion Imaging (MPI) parameters such as stress Myo
Externí odkaz:
https://doaj.org/article/04d8552567144e6b9f4b562be9a2f82f
Autor:
Delia-Mihaela BORS, Oana-Adriana GICĂ
Publikováno v:
Oradea Journal of Business and Economics, Vol 9, Iss 1, Pp 72-86 (2024)
Entrepreneurship serves as a catalyst for economic development, particularly during crises, as it fosters economic resilience through the establishment of new enterprises and the creation of employment opportunities. Women possess a significant entre
Externí odkaz:
https://doaj.org/article/818deb5967c74ec18d13a7972348fdb9
Autor:
Ye, Fei, Bors, Adrian G.
Due to their inference, data representation and reconstruction properties, Variational Autoencoders (VAE) have been successfully used in continual learning classification tasks. However, their ability to generate images with specifications correspond
Externí odkaz:
http://arxiv.org/abs/2207.10131