https://openreview.net/forum?id=LX1lwP90kt&referrer=%5Bthe%20profile%20of%20Lea%20Duncker%5D(%2Fprofile%3Fid%3D~Lea_Duncker1)
Understanding how the collective activity of neural populations relates to computation and ultimately behavior is a key goal in neuroscience. To this end,...
gaussian processmodelinglatentneuraldynamics
https://deepai.org/publication/rmfgp-rotated-multi-fidelity-gaussian-process-with-dimension-reduction-for-high-dimensional-uncertainty-quantification
04/11/22 - Multi-fidelity modelling arises in many situations in computational science and engineering world. It enables accurate inference e...
gaussian processdimension reductionmultifidelity
https://deepai.org/publication/gingr-generalized-iterative-non-rigid-point-cloud-and-surface-registration-using-gaussian-process-regression
03/18/22 - In this paper, we unify popular non-rigid registration methods for point sets and surfaces under our general framework, GiNGR. GiN...
point cloudsurface registrationgeneralizediterativenon
https://deepai.org/publication/informative-planning-for-worst-case-error-minimisation-in-sparse-gaussian-process-regression
03/08/22 - We present a planning framework for minimising the deterministic worst-case error in sparse Gaussian process (GP) regression. We f...
worst caseinformativeplanningerrorminimisation
https://www.arxiv.org/abs/2510.06191
Abstract page for arXiv paper 2510.06191: Rapid calibration of atrial electrophysiology models using Gaussian process emulators in the ensemble Kalman filter
rapidcalibrationatrialelectrophysiologymodels
https://deepai.org/publication/modeling-ride-sourcing-matching-and-pickup-processes-based-on-additive-gaussian-process-models
04/29/22 - Matching and pickup processes are core features of ride-sourcing services. Previous studies have adopted abundant analytical model...
modelingridesourcingmatchingpickup