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1901.03134
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Gaussian processes with linear operator inequality constraints
10 January 2019
C. Agrell
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Papers citing
"Gaussian processes with linear operator inequality constraints"
12 / 12 papers shown
Title
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers
Marvin Pfortner
Ingo Steinwart
Philipp Hennig
Jonathan Wenger
AI4CE
119
29
0
23 Dec 2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints
Jiayu Huang
Yutian Pang
Yongming Liu
Hao Yan
BDL
UQCV
66
15
0
16 Oct 2022
On Controller Tuning with Time-Varying Bayesian Optimization
Paul Brunzema
Alexander von Rohr
Sebastian Trimpe
79
17
0
22 Jul 2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
Syrine Belakaria
J. Doppa
Nicolò Fusi
Rishit Sheth
91
7
0
25 Jun 2022
Constraining Gaussian processes for physics-informed acoustic emission mapping
Matthew R. Jones
T. Rogers
E. Cross
AI4CE
85
16
0
03 Jun 2022
Handling Hard Affine SDP Shape Constraints in RKHSs
Pierre-Cyril Aubin-Frankowski
Z. Szabó
40
7
0
05 Jan 2021
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
L. Swiler
Mamikon A. Gulian
A. Frankel
Cosmin Safta
J. Jakeman
GP
AI4CE
110
106
0
16 Jun 2020
Hard Shape-Constrained Kernel Machines
Pierre-Cyril Aubin-Frankowski
Z. Szabó
62
22
0
26 May 2020
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes
A. R. Geist
Sebastian Trimpe
76
21
0
23 Apr 2020
Nonnegativity-Enforced Gaussian Process Regression
Andrew Pensoneault
Xiu Yang
Xueyu Zhu
74
28
0
07 Apr 2020
Integrals over Gaussians under Linear Domain Constraints
A. Gessner
Oindrila Kanjilal
Philipp Hennig
62
30
0
21 Oct 2019
Non-Parametric Calibration for Classification
Jonathan Wenger
Hedvig Kjellström
Rudolph Triebel
UQCV
118
82
0
12 Jun 2019
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