Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Blanchard, Antoine"'
Weather extremes are a major societal and economic hazard, claiming thousands of lives and causing billions of dollars in damage every year. Under climate change, their impact and intensity are expected to worsen significantly. Unfortunately, general
Externí odkaz:
http://arxiv.org/abs/2210.12137
We derive criteria for the selection of datapoints used for data-driven reduced-order modeling and other areas of supervised learning based on Gaussian process regression (GPR). While this is a well-studied area in the fields of active learning and o
Externí odkaz:
http://arxiv.org/abs/2112.02636
We present a new type of acquisition functions for online decision making in multi-armed and contextual bandit problems with extreme payoffs. Specifically, we model the payoff function as a Gaussian process and formulate a novel type of upper confide
Externí odkaz:
http://arxiv.org/abs/2102.10085
We introduce a class of acquisition functions for sample selection that leads to faster convergence in applications related to Bayesian experimental design and uncertainty quantification. The approach follows the paradigm of active learning, whereby
Externí odkaz:
http://arxiv.org/abs/2006.12394
An unmanned autonomous vehicle (UAV) is sent on a mission to explore and reconstruct an unknown environment from a series of measurements collected by Bayesian optimization. The success of the mission is judged by the UAV's ability to faithfully reco
Externí odkaz:
http://arxiv.org/abs/2005.10040
In Bayesian optimization, accounting for the importance of the output relative to the input is a crucial yet challenging exercise, as it can considerably improve the final result but often involves inaccurate and cumbersome entropy estimations. We ap
Externí odkaz:
http://arxiv.org/abs/2004.10599
For a large class of dynamical systems, the optimally time-dependent (OTD) modes, a set of deformable orthonormal tangent vectors that track directions of instabilities along any trajectory, are known to depend "pointwise" on the state of the system
Externí odkaz:
http://arxiv.org/abs/1907.10413
Publikováno v:
In Journal of Computational Physics 15 January 2021 425
Publikováno v:
In Journal of Sound and Vibration 20 January 2018 413:57-65
Publikováno v:
In Journal of Sound and Vibration 6 January 2018 412:326-335