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TAMIDS Seminar Matthias Katzfuss 2021 09 13
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TAMIDS Seminar Matthias Katzfuss 2021 09 13
TAMIDS Data Science Webinar: Scalable Gaussian Process Approximation and Optimization
BA Discussion Webinar: Bayesian [...] covariance estimation for large spatial data
Lab Gaussian Processes (1/2)
Roman Krems (3/3) "Extrapolation in Hamiltonian Spaces with Gaussian Processes"
James Hensman (Amazon) - Spherical Gaussian Processes
GPSS 2021: Intro to Bayes Opt
Gaussian distribution-based inertial control of wind turbine generators
e Seminar #21: Use of Gaussian Process Emulators in cardiovascular and musculoskeletal biomechanics
CGD Seminar Series - Does Non-Gaussian Calibration Improve Multi-Model Seasonal Forecasts?
Tamara Broderick (MIT) - Fast Discovery of Pairwise Interactions using Gaussian Processes
Scalable Covariance Approximations for Environmental and Climate Data
GPSS 2021: Spectral kernels
Gaussian geometry and topology for cosmology - Adler - Workshop 2 - CEB T3 2018
Materials-structure Property Mapping with Kernel Based Methods
ML & Physical World 2021 Lecture 5: Emulation
Sebastien Coube (Nearest Neighbor Gaussian Process)
Ruda Zhang | Gaussian Process Subspace Regression
Dr Aretha Teckentrup, University of Edinburgh - Convergence and Robustness of Gaussian Process Reg
Bdrygp: Ein randintegriertes Gauß-Prozess-Modell für die Emulation von Computercode
