Zobrazeno 1 - 10
of 1 408
pro vyhledávání: '"P, Leterme"'
Autor:
Guerrini, Sacha, Kilbinger, Martin, Leterme, Hubert, Guinot, Axel, Wang, Jingwei, Peters, Fabian Hervas, Hildebrandt, Hendrik, Hudson, Michael J., McConnachie, Alan
Weak gravitational lensing requires precise measurements of galaxy shapes and therefore an accurate knowledge of the PSF model. The latter can be a source of systematics that affect the shear two-point correlation function. A key stake of weak lensin
Externí odkaz:
http://arxiv.org/abs/2412.14666
In inverse problems, distribution-free uncertainty quantification (UQ) aims to obtain error bars with coverage guarantees that are independent of any prior assumptions about the data distribution. In the context of mass mapping, uncertainties could l
Externí odkaz:
http://arxiv.org/abs/2410.08831
Computationally Efficient Electromagnetic Transient Power System Studies using Bayesian Optimization
Autor:
Leterme, Willem, Heylen, Evelyn
The power system of the future will be governed by complex interactions and non-linear phenomena, that should be studied more and more through computationally expensive software simulations. To solve the abovementioned problems, power system engineer
Externí odkaz:
http://arxiv.org/abs/2310.14945
Autor:
Patrick Düllmann, Christopher Klein, Pascal Winter, Hendrik Köhler, Michael Steglich, Jan Teuwsen, Willem Leterme
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 23, Pp 3801-3816 (2024)
Abstract To create synergies between offshore wind integration and operational flexibility, interconnecting HVDC links to multi‐terminal networks is highly desired. However, its technical realisation remains a major challenge: In particular, it is
Externí odkaz:
https://doaj.org/article/30678d0644ff46b78c3dc878190b65c1
We propose a novel method to increase shift invariance and prediction accuracy in convolutional neural networks. Specifically, we replace the first-layer combination "real-valued convolutions + max pooling" (RMax) by "complex-valued convolutions + mo
Externí odkaz:
http://arxiv.org/abs/2212.00394
This paper focuses on improving the mathematical interpretability of convolutional neural networks (CNNs) in the context of image classification. Specifically, we tackle the instability issue arising in their first layer, which tends to learn paramet
Externí odkaz:
http://arxiv.org/abs/2209.11740
Autor:
M. D. Huguet, S. Robin, S. Hudaverdian, S. Tanguy, N. Leterme-Prunier, R. Cloteau, S. Baulande, P. Legoix-Né, F. Legeai, J.-C. Simon, J. Jaquiéry, D. Tagu, G. Le Trionnaire
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Background Transitions from sexual to asexual reproduction are common in eukaryotes, but the underlying mechanisms remain poorly known. The pea aphid—Acyrthosiphon pisum—exhibits reproductive polymorphism, with cyclical parthenogenetic a
Externí odkaz:
https://doaj.org/article/0b173da82f3c4e33bacc0c2fca2363ab
Autor:
Muhammad Atif Nisar, Kirstin E. Ross, Melissa H. Brown, Richard Bentham, Giles Best, Nicholas S. Eyre, Sophie C. Leterme, Harriet Whiley
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32334- (2024)
Legionella is the causative agent of Legionnaires’ disease, and its prevalence in potable water is a significant public health issue. Water stagnation within buildings increases the risk of Legionella. However, there are limited studies investigati
Externí odkaz:
https://doaj.org/article/cab7c74ac1554649b5a8a2685b9069ba
Autor:
Van Assche, Tobias
Publikováno v:
Res Publica (0486-4700); 2010, Vol. 52 Issue 1, p97-114, 18p