Zobrazeno 1 - 10
of 116 842
pro vyhledávání: '"P. Nick"'
Publikováno v:
Photosynthetica, Vol 61, Iss 3, Pp 297-307 (2023)
A 50-year-old solitary, sun-exposed ginkgo tree had strongly been pruned in the fall of 2021. Very few buds for the formation of new leaves, twigs, and branches were left over. In spring 2022, these few remaining buds responded with the formation of
Externí odkaz:
https://doaj.org/article/a3f5192724cf4ab1b7a9fe9a0e7c8d61
Autor:
Lallement, Manon, Lacour, Sylvestre, Huby, Elsa, Martin, Guillermo, Barjot, Kevin, Perrin, Guy, Rouan, Daniel, Lapeyrere, Vincent, Vievard, Sebastien, Guyon, Olivier, Lozi, Julien, Deo, Vincent, Kotani, Takayuki, Pham, Cecil, Cassagnettes, Cedric, Billat, Adrien, Cvetojevic, Nick, Marchis, Franck
Publikováno v:
Proceeding SPIE Astronomical Telescopes + Instrumentation, Montreal, Quebec, Canada, Volume 12188, Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation V, 121882F (2022)
Integrated optics are used to achieve astronomical interferometry inside robust and compact materials, improving the instruments stability and sensitivity. In order to perform differential phase measurements at the H$\alpha$ line (656.3 nm) with the
Externí odkaz:
http://arxiv.org/abs/2409.03808
Autor:
Simm, Nick, Wei, Fei
We consider the derivative of the characteristic polynomial of $N \times N$ Haar distributed unitary matrices. In the limit $N \to \infty$, we give a formula for general non-integer moments of the derivative for values of the spectral variable inside
Externí odkaz:
http://arxiv.org/abs/2409.03687
Autor:
Lallement, Manon, Huby, Elsa, Lacour, Sylvestre, Martin, Guillermo, Barjot, Kevin, Perrin, Guy, Rouan, Daniel, Lapeyrere, Vincent, Vievard, Sebastien, Guyon, Olivier, Lozi, Julien, Deo, Vincent, Kotani, Takayuki, Pham, Cecil, Cassagnettes, Cedric, Billat, Adrien, Cvetojevic, Nick, Marchis, Franck
Publikováno v:
Journal of Astronomical Telescopes, Instruments, and Systems, Vol. 9, Issue 2, 025003 (April 2023)
Integrated optics are used to achieve astronomical interferometry inside robust and compact materials, improving the instrument's stability and sensitivity. In order to perform differential phase measurements at the H$\alpha$ line (656.3 nm) with the
Externí odkaz:
http://arxiv.org/abs/2409.03476
Autor:
Zoomers, Brent, Wijnants, Maarten, Molenaers, Ivan, Vanherck, Joni, Put, Jeroen, Jorissen, Lode, Michiels, Nick
Over the past year, 3D Gaussian Splatting (3DGS) has received significant attention for its ability to represent 3D scenes in a perceptually accurate manner. However, it can require a substantial amount of storage since each splat's individual data m
Externí odkaz:
http://arxiv.org/abs/2409.01761
A crucial question in analyzing a concurrent system is to determine its long-run behaviour, and in particular, whether there are irreversible choices in its evolution, leading into parts of the reachability space from which there is no return to othe
Externí odkaz:
http://arxiv.org/abs/2409.01079
Large-scale test collections play a crucial role in Information Retrieval (IR) research. However, according to the Cranfield paradigm and the research into publicly available datasets, the existing information retrieval research studies are commonly
Externí odkaz:
http://arxiv.org/abs/2408.16312
Generative Bayesian Computation (GBC) methods are developed to provide an efficient computational solution for maximum expected utility (MEU). We propose a density-free generative method based on quantiles that naturally calculates expected utility a
Externí odkaz:
http://arxiv.org/abs/2408.16101
In an optimization problem, the quality of a candidate solution can be characterized by the optimality gap. For most stochastic optimization problems, this gap must be statistically estimated. We show that standard estimators are optimistically biase
Externí odkaz:
http://arxiv.org/abs/2408.15690
Autor:
Rutherford, Alexander, Beukman, Michael, Willi, Timon, Lacerda, Bruno, Hawes, Nick, Foerster, Jakob
What data or environments to use for training to improve downstream performance is a longstanding and very topical question in reinforcement learning. In particular, Unsupervised Environment Design (UED) methods have gained recent attention as their
Externí odkaz:
http://arxiv.org/abs/2408.15099