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Learning-Based Modeling of Soft Robots via Cosserat Rod Theory
Arxiv
0+阅读 · 6月18日
Orthogonal Discrepancy Kernels for Learning with Partial Physics
Arxiv
0+阅读 · 6月19日
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
Arxiv
0+阅读 · 5月30日
Multi-fidelity Gaussian process regression for noisy outputs and non-nested experimental designs: a comparison between the recursive and non-recursive formulations
Arxiv
0+阅读 · 5月20日
Robust Prediction Variance Estimation for Gaussian Process Regression Under Covariance Smoothness Misspecification
Arxiv
0+阅读 · 6月3日
Physics-constrained Gaussian Processes for Predicting Shockwave Hugoniot Curves
Arxiv
0+阅读 · 6月4日
Data Driven Calibration of Analytical Concrete Creep Models Considering Preloading Effects Using Gaussian Processes
Arxiv
0+阅读 · 4月28日
Fast Multitask Gaussian Process Regression
Arxiv
0+阅读 · 3月16日
The Theory and Practice of Highly Scalable Gaussian Process Regression with Nearest Neighbours
Arxiv
0+阅读 · 4月8日
Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
Arxiv
0+阅读 · 3月18日
GPU-Resident Gaussian Process Regression Leveraging Asynchronous Tasks with HPX
Arxiv
0+阅读 · 2月23日
Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression
Arxiv
0+阅读 · 2月2日
Scaling Gaussian Process Regression with Full Derivative Observations
Arxiv
0+阅读 · 2月2日
Relative Information Gain and Gaussian Process Regression
Arxiv
0+阅读 · 1月15日
Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields
Arxiv
0+阅读 · 1月12日
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