Compliance minimization via physics-informed Gaussian processes
Sign Up to like & getrecommendations! Published in 2025 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-025-04179-5
Abstract: Machine learning (ML) techniques have recently gained significant attention for solving compliance minimization (CM) problems. However, these methods typically provide poor feature boundaries, are very expensive, and lack a systematic mechanism to control the design… read more here.
Keywords: physics informed; physics; compliance; compliance minimization ... See more keywords
Karhunen–Loève expansions for axially symmetric Gaussian processes: modeling strategies and $$L^2$$ L 2 approximations
Sign Up to like & getrecommendations! Published in 2020 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-020-01839-4
Abstract: Axially symmetric processes on spheres, for which the second-order dependency structure may substantially vary with shifts in latitude, are a prominent alternative to model the spatial uncertainty of natural variables located over large portions of… read more here.
Keywords: gaussian processes; axially symmetric; processes modeling; karhunen expansions ... See more keywords
Gaussian processes autonomous mapping and exploration for range-sensing mobile robots
Sign Up to like & getrecommendations! Published in 2018 at "Autonomous Robots"
DOI: 10.1007/s10514-017-9668-3
Abstract: Most of the existing robotic exploration schemes use occupancy grid representations and geometric targets known as frontiers. The occupancy grid representation relies on the assumption of independence between grid cells and ignores structural correlations present… read more here.
Keywords: gaussian processes; exploration; map; mapping exploration ... See more keywords
Extremes of locally-homogenous vector-valued Gaussian processes
Sign Up to like & getrecommendations! Published in 2024 at "Extremes"
DOI: 10.1007/s10687-023-00483-9
Abstract: In this paper, we study the asymptotical behaviour of high exceedence probabilities for centered continuous $$\mathbb {R}^n$$ R n -valued Gaussian random field $$\varvec{X}$$ X with covariance matrix satisfying $$\Sigma - R ( t +… read more here.
Keywords: extremes locally; homogenous vector; locally homogenous; vector valued ... See more keywords
Some Large Deviations Principles for Time-Changed Gaussian Processes
Sign Up to like & getrecommendations! Published in 2020 at "Lithuanian Mathematical Journal"
DOI: 10.1007/s10986-020-09494-6
Abstract: LetX= (X(t))(t >= 0)(X(0) = 0) be a continuous centered Gaussian process on a probability space (omega,F,P), and let (Y-t)(t is an element of)[0,1] (Y-0= 0) be a continuous process (on the same probability space)… read more here.
Keywords: time changed; changed gaussian; gaussian processes; deviations principles ... See more keywords
Gaussian Processes for improving orbit prediction accuracy
Sign Up to like & getrecommendations! Published in 2019 at "Acta Astronautica"
DOI: 10.1016/j.actaastro.2019.05.014
Abstract: Abstract A machine learning (ML) approach has been recently proposed to improve the orbit prediction accuracy of resident space objects (RSOs) through learning from historical data. Previous results have shown that the ML approach can… read more here.
Keywords: orbit prediction; gaussian processes; prediction accuracy;
Gaussian processes modifier adaptation with uncertain inputs for distributed learning and optimization of wind farms
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1833
Abstract: Abstract A modifier adaptation scheme based on Gaussian processes is presented to optimize the control inputs of a wind farm. Often an approximate model of the wind farm is available, however due to the high… read more here.
Keywords: modifier adaptation; gaussian processes; distributed learning; wind farms ... See more keywords
Gaussian Processes Incremental Inference for Mobile Robots Dynamic Planning
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2447
Abstract: Trajectory optimization methods for motion planning attempt to generate trajectories that minimize a suitable objective function. While such methods efficiently find solutions in static environments, they need to be ran from scratch multiple times in… read more here.
Keywords: inference; moving obstacles; gaussian processes; planning ... See more keywords
Comparing cell population balance model simulation through Gaussian processes and discretisation
Sign Up to like & getrecommendations! Published in 2021 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.06.109
Abstract: Abstract Phenotypic variability in cell populations can be described through population balance models (PBM). In this paper, the simulation of cell PBMs via two different methods is compared. We compare the cell average technique (CAT)… read more here.
Keywords: gaussian processes; cell; population balance; simulation ... See more keywords
An application of hierarchical Gaussian processes to the detection of anomalies in star light curves
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.087
Abstract: Abstract This study is concerned with astronomical time-series called light-curves that represent the brightness of celestial objects over a period of time. We consider the task of finding anomalous light-curves of periodic variable stars. We… read more here.
Keywords: application hierarchical; processes detection; gaussian processes; hierarchical gaussian ... See more keywords
Speech Based Estimation of Parkinson's Disease Using Gaussian Processes and Automatic Relevance Determination
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.03.058
Abstract: Abstract Parkinson’s disease is a progressive neurodegenerative disorder often accompanied by impairment in articulation, phonation, prosody and fluency of speech. In fact, speech impairment is one of the earliest Parkinson’s disease symptoms, and may be… read more here.
Keywords: gaussian processes; relevance determination; disease; parkinson disease ... See more keywords