27 citations · 111 across the 28 of their papers we have counts for
3 papers · 1 filter
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers
Julia Moosbauer, Martin Binder, Lennart Schneider +5
Automated hyperparameter optimization (HPO) has gained great popularity and is an important ingredient of most automated machine learning frameworks. The process of designing HPO a…
Bayesian Optimization in Materials Science: A Survey
Lars Kotthoff, Hud Wahab, Patrick Johnson
Bayesian optimization is used in many areas of AI for the optimization of black-box processes and has achieved impressive improvements of the state of the art for a lot of applicat…
Modeling and Optimizing Laser-Induced Graphene
Lars Kotthoff, Sourin Dey, Vivek Jain +3
A lot of technological advances depend on next-generation materials, such as graphene, which enables a raft of new applications, for example better electronics. Manufacturing such…