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IEEE Transactions on Pattern Analysis and Machine Intelligence|March 22, 2021
Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDLLucas Zimmer, Marius Lindauer, Frank HutterMethods in Molecular Biology (Clifton, N.J.)|September 23, 2024
Machine Learning for RNA Design: LEARNAFrederic Runge, Frank HutterOptics Express|July 2, 2026
Gradient-informed Bayesian and interior point optimization for efficient inverse design in nanophotonicsYannik Mahlau, Yannick Augenstein, Tyler W Hughes, et al.Evolutionary Computation|March 17, 2025
MO-SMAC: Multi-objective Sequential Model-based Algorithm ConfigurationJeroen G Rook, Carolin Benjamins, Jakob Bossek, et al.ACS Applied Materials & Interfaces|September 14, 2012
Modified superparamagnetic nanocomposite microparticles for highly selective Hg(II) or Cu(II) separation and recovery from aqueous solutionsKarl Mandel, Frank Hutter, Carsten Gellermann, et al.Forensic Science International. Genetics|June 16, 2025
Advancing biogeographical ancestry predictions through machine learningCarola Sophia Heinzel, Lennart Purucker, Frank Hutter, et al.Bioinformatics (Oxford, England)|June 28, 2024
Partial RNA designFrederic Runge, Jörg Franke, Daniel Fertmann, et al.Journal of Molecular Biology|April 21, 2004
A new algorithm for RNA secondary structure designMirela Andronescu, Anthony P Fejes, Frank Hutter, et al.Bioinformatics (Oxford, England)|July 14, 2020
The locality dilemma of Sankoff-like RNA alignmentsTeresa Müller, Milad Miladi, Frank Hutter, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|April 23, 2021
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019Zhengying Liu, Adrien Pavao, Zhen Xu, et al.Pageof 2