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Attentive Neural Processes and Batch Bayesian Optimization for Scalable
  Calibration of Physics-Informed Digital Twins

Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins

29 June 2021
Ankush Chakrabarty
G. Wichern
C. Laughman
ArXivPDFHTML

Papers citing "Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins"

4 / 4 papers shown
Title
Optimizing Collaborative Robotics since Pre-Deployment via
  Cyber-Physical Systems' Digital Twins
Optimizing Collaborative Robotics since Pre-Deployment via Cyber-Physical Systems' Digital Twins
Christian Cella
Marco Faroni
Andrea Zanchettin
Paolo Rocco
AI4CE
20
0
0
18 Oct 2024
Fine-grained Forecasting Models Via Gaussian Process Blurring Effect
Fine-grained Forecasting Models Via Gaussian Process Blurring Effect
Sepideh Koohfar
Laura Dietz
DiffM
AI4TS
19
0
0
21 Dec 2023
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard E. Turner
L. Yao
BDL
73
24
0
01 Sep 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
A. Maraval
Matthieu Zimmer
Antoine Grosnit
Rasul Tutunov
Jun Wang
H. Ammar
25
2
0
27 May 2022
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