Zobrazeno 1 - 10
of 2 998
pro vyhledávání: '"Agné, A."'
Document classification is considered a critical element in automated document processing systems. In recent years multi-modal approaches have become increasingly popular for document classification. Despite their improvements, these approaches are u
Externí odkaz:
http://arxiv.org/abs/2412.10155
In this study, we evaluate causal inference estimators for online controlled bipartite graph experiments in a real marketplace setting. Our novel contribution is constructing a bipartite graph using in-experiment data, rather than relying on prior kn
Externí odkaz:
http://arxiv.org/abs/2409.04174
Autor:
Hamdani, Syed Jawwad Haider, Saifullah, Saifullah, Agne, Stefan, Dengel, Andreas, Ahmed, Sheraz
Obtaining annotated table structure data for complex tables is a challenging task due to the inherent diversity and complexity of real-world document layouts. The scarcity of publicly available datasets with comprehensive annotations for intricate ta
Externí odkaz:
http://arxiv.org/abs/2408.09800
In this study, we introduce StylusAI, a novel architecture leveraging diffusion models in the domain of handwriting style generation. StylusAI is specifically designed to adapt and integrate the stylistic nuances of one language's handwriting into an
Externí odkaz:
http://arxiv.org/abs/2407.15608
Autor:
Agne, Moustapha
We investigate the asymptotics of boundary layers in periodic homogenization. The analysis is focused on a Stokes system with periodic coefficients and periodic Dirichlet data posed in the half-space $\{y\in \mathbb{R}^d: y\cdot n -s>0\}$. In particu
Externí odkaz:
http://arxiv.org/abs/2407.11841
Deep learning (DL) has revolutionized the field of document image analysis, showcasing superhuman performance across a diverse set of tasks. However, the inherent black-box nature of deep learning models still presents a significant challenge to thei
Externí odkaz:
http://arxiv.org/abs/2407.03830
Autor:
Knietaite, Agne, Allsebrook, Adam, Minkov, Anton, Tomaszewski, Adam, Slinko, Norbert, Johnson, Richard, Pickard, Thomas, Phelps, Dylan, Villavicencio, Aline
Compositionality in language models presents a problem when processing idiomatic expressions, as their meaning often cannot be directly derived from their individual parts. Although fine-tuning and other optimization strategies can be used to improve
Externí odkaz:
http://arxiv.org/abs/2405.08497
Autor:
Parchenko, Sergii, Riepp, Matthias, Marotzke, Simon, Larsson, Agne Åberg, Kapaklis, Vassilios, Oppeneer, Peter M., Scherz, Andreas
We explore the impact of optical excitation using two interfering ultrashort optical pulses on ultrafast magnetization dynamics. Our investigation focuses on Pt/Co/Pt multilayers and TbCo alloy samples, employing a dual pump approach. We observe sign
Externí odkaz:
http://arxiv.org/abs/2404.15110
Autor:
Aho, Layton, Winter, Mark, DeCarlo, Marc, Frismantiene, Agne, Blum, Yannick, Gagliardi, Paolo Armando, Pertz, Olivier, Cohen, Andrew R.
Live cell microscopy captures 5-D $(x,y,z,channel,time)$ movies that display patterns of cellular motion and signaling dynamics. We present here a metric kernel function for spatiotemporal patterns of cell signaling dynamics in 5-D live cell microsco
Externí odkaz:
http://arxiv.org/abs/2401.02501
Autor:
Parchenko, Sergii, Larsson, Agne Åberg, Kapaklis, Vassilios, Sharma, Sangeeta, Scherz, Andreas
The parallel or antiparallel arrangement of electron spins plays a pivotal role in determining the properties of a physical system. To meet the demands for innovative technological solutions, extensive efforts have been dedicated to exploring effecti
Externí odkaz:
http://arxiv.org/abs/2311.05507