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Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

Mimi Zhang
Andrew C. Parnell
D. Brabazon
A. Benavoli
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Papers citing "Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing"

2 / 2 papers shown
Title
An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry
An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry
Ahmed Shoyeb Raihan
H. Khosravi
T. Bhuiyan
Imtiaz Ahmed
AI4CE
30
7
0
10 Jan 2024
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
35
2
0
27 May 2022