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pro vyhledávání: '"Goldmann A"'
Synthetic data generation has been proven successful in improving model performance and robustness in the context of scarce or low-quality data. Using the data valuation framework to statistically identify beneficial and detrimental observations, we
Externí odkaz:
http://arxiv.org/abs/2410.00759
Autor:
Skalli, Anas, Goldmann, Mirko, Haghighi, Nasibeh, Reitzenstein, Stephan, Lott, James A., Brunner, Daniel
Artificial neural networks (ANNs) represent a fundamentally connectionnist and distributed approach to computing, and as such they differ from classical computers that utilize the von Neumann architecture. This has revived research interest in new un
Externí odkaz:
http://arxiv.org/abs/2409.01042
Autor:
Niyonzima, Jean de Dieu, Jeridi, Haifa, Essaoui, Lamya, Tosarelli, Caterina, Vlad, Alina, Coati, Alessandro, Royer, Sebastien, Trimaille, Isabelle, Goldmann, Michel, Gallas, Bruno, Constantin, Doru, Babonneau, David, Garreau, Yves, Croset, Bernard, Kralj, Samo, Kamien, Randall D., Lacaze, Emmanuelle
Smectic liquid crystals can be viewed as model systems for lamellar structures for which there has been extensive theoretical development. We demonstrate that a nonlinear energy description is required with respect to the usual Landau-de Gennes elast
Externí odkaz:
http://arxiv.org/abs/2407.10598
Recurrent Neural Networks excel at predicting and generating complex high-dimensional temporal patterns. Due to their inherent nonlinear dynamics and memory, they can learn unbounded temporal dependencies from data. In a Machine Learning setting, the
Externí odkaz:
http://arxiv.org/abs/2405.07236
Autor:
Thies, Mareike, Wagner, Fabian, Maul, Noah, Yu, Haijun, Goldmann, Manuela, Schneider, Linda-Sophie, Gu, Mingxuan, Mei, Siyuan, Folle, Lukas, Preuhs, Alexander, Manhart, Michael, Maier, Andreas
Publikováno v:
in IEEE Transactions on Medical Imaging (2024)
Cone-beam computed tomography (CBCT) systems, with their flexibility, present a promising avenue for direct point-of-care medical imaging, particularly in critical scenarios such as acute stroke assessment. However, the integration of CBCT into clini
Externí odkaz:
http://arxiv.org/abs/2401.09283
Autor:
Goldmann, Matthias, author
Publikováno v:
Global Rights? : Human Rights in Complex Governance, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780198940166.003.0002
Autor:
Kharlamova, Anna, Boulogne, François, Fontaine, Philippe, Rouzière, Stéphan, Hemmerle, Arnaud, Goldmann, Michel, Salonen, Anniina
Many ionic surfactants, such as sodium dodecyl sulphate (SDS) crystallize out of solution if the temperature falls below the crystallization boundary. The crystallization temperature is impacted by solution properties, and can be decreased with the a
Externí odkaz:
http://arxiv.org/abs/2311.03544
Data preprocessing is a crucial part of any machine learning pipeline, and it can have a significant impact on both performance and training efficiency. This is especially evident when using deep neural networks for time series prediction and classif
Externí odkaz:
http://arxiv.org/abs/2310.14720
Autor:
Björn Gylemo, Maike Bensberg, Viktoria Hennings, Christina Lundqvist, Alessandro Camponeschi, Dóra Goldmann, Huan Zhang, Aida Selimović-Pašić, Antonio Lentini, Olov Ekwall, Colm E. Nestor
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Females exhibit a more robust immune response to both self-antigens and non-self-antigens than males, resulting in a higher prevalence of autoimmune diseases but more effective responses against infection. Increased expression of X-linked im
Externí odkaz:
https://doaj.org/article/ed1813ba8f79424fb393f3a3ebc01478
Publikováno v:
Discrete Mathematics & Theoretical Computer Science, vol. 26:3, Discrete Algorithms (November 15, 2024) dmtcs:13018
In this work, we study the Biclique-Free Vertex Deletion problem: Given a graph $G$ and integers $k$ and $i \le j$, find a set of at most $k$ vertices that intersects every (not necessarily induced) biclique $K_{i, j}$ in $G$. This is a natural gener
Externí odkaz:
http://arxiv.org/abs/2308.00501