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cs.LG2025
Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
Samuel Singh, Shirley Coyle, Mimi Zhang
We introduce FAEclust, a novel functional autoencoder framework for cluster analysis of multi-dimensional functional data, data that are random realizations of vector-valued random…
cs.LG2021★ 16 cited
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
Mimi Zhang, Andrew Parnell, Dermot Brabazon +1
Bayesian optimization (BO) is an approach to globally optimizing black-box objective functions that are expensive to evaluate. BO-powered experimental design has found wide applica…