「Gaussian Process」の検索結果
8 件The uncertainty of a statistical model is most commonly factorized into an aleatoric and an epistemic part. Th
Field robots operating in mines, tunnels, and disaster areas require reliable localization despite GNSS denial
Physics-informed Gaussian process (GP) methods provide a probabilistic framework for PDE solving. Existing app
How to reuse a pretrained locomotion policy for precise loco-manipulation is still an open problem. We propose
Probabilistic meshless methods solve partial differential equations (PDEs) by placing a Gaussian process prior
Kernel methods face two recurrent bottlenecks: the cubic cost of inverting an $n\times n$ kernel matrix, as in
Deep Gaussian processes (DGPs) are flexible surrogate models for computer experiments with nonstationary respo
Prior-Data Fitted Networks (PFNs) replace the hyperparameter refitting of Gaussian Process (GP) surrogates in