Zobrazeno 1 - 10
of 15 874
pro vyhledávání: '"A. Sandu"'
Publikováno v:
Nonlinear Processes in Geophysics, Vol 29, Pp 241-253 (2022)
Rejuvenation in particle filters is necessary to prevent the collapse of the weights when the number of particles is insufficient to properly sample the high-probability regions of the state space. Rejuvenation is often implemented in a heuristic man
Externí odkaz:
https://doaj.org/article/e5d8f0b104f84daa9020abd0a796ae11
Autor:
Rackow, Thomas, Koldunov, Nikolay, Lessig, Christian, Sandu, Irina, Alexe, Mihai, Chantry, Matthew, Clare, Mariana, Dramsch, Jesper, Pappenberger, Florian, Pedruzo-Bagazgoitia, Xabier, Tietsche, Steffen, Jung, Thomas
Data-driven machine learning models for weather forecasting have made transformational progress in the last 1-2 years, with state-of-the-art ones now outperforming the best physics-based models for a wide range of skill scores. Given the strong links
Externí odkaz:
http://arxiv.org/abs/2409.18529
Surgical procedures are often not "standardised" (i.e., defined in a unique and unambiguous way), but rather exist as implicit knowledge in the minds of the surgeon and the surgical team. This reliance extends to pre-surgery planning and effective co
Externí odkaz:
http://arxiv.org/abs/2408.05001
Autor:
Koldunov, Nikolay, Rackow, Thomas, Lessig, Christian, Danilov, Sergey, Cheedela, Suvarchal K., Sidorenko, Dmitry, Sandu, Irina, Jung, Thomas
The demand for high-resolution information on climate change is critical for accurate projections and decision-making. Presently, this need is addressed through high-resolution climate models or downscaling. High-resolution models are computationally
Externí odkaz:
http://arxiv.org/abs/2406.17977
Along with the development of chatbot, language models and speech technologies, there is a growing possibility and interest of creating systems able to interface with humans seamlessly through natural language or directly via speech. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2406.08996
Autor:
A. A. Popov, A. Sandu
Publikováno v:
Nonlinear Processes in Geophysics, Vol 26, Pp 109-122 (2019)
Ever since its inception, the ensemble Kalman filter (EnKF) has elicited many heuristic approaches that sought to improve it. One such method is covariance localization, which alleviates spurious correlations due to finite ensemble sizes by using rel
Externí odkaz:
https://doaj.org/article/6f391cc5b516495b98b8a93851aaf3a2
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 629-649 (2019)
A flexible and highly extensible data assimilation testing suite, named DATeS, is described in this paper. DATeS aims to offer a unified testing environment that allows researchers to compare different data assimilation methodologies and understand t
Externí odkaz:
https://doaj.org/article/b4847528226d40b7b8496a9d4ab1b6a3
Data assimilation aims to estimate the states of a dynamical system by optimally combining sparse and noisy observations of the physical system with uncertain forecasts produced by a computational model. The states of many dynamical systems of intere
Externí odkaz:
http://arxiv.org/abs/2405.04380
Autor:
Collins, Daniel, Popescu, Sandu
In the paradigmatic example of quantum measurements, whenever one measures a system which starts in a superposition of two states of a conserved quantity, it jumps to one of the two states, implying different final values for the quantity that should
Externí odkaz:
http://arxiv.org/abs/2404.18621
The Adam optimizer, often used in Machine Learning for neural network training, corresponds to an underlying ordinary differential equation (ODE) in the limit of very small learning rates. This work shows that the classical Adam algorithm is a first-
Externí odkaz:
http://arxiv.org/abs/2403.13704