Designing reusable metaheuristic methods: A semi-automated approach. - Steven Adriaensen; Tim Brys; Ann Nowé (IEEE Congress on Evolutionary Computation, 2014)

Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic. - Steven Adriaensen; Tim Brys; Ann Nowé (GECCO, 2014)

A benchmark set extension and comparative study for the HyFlex framework. - Steven Adriaensen; Gabriela Ochoa; Ann Nowé (CEC, 2015)

Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex. - Steven Adriaensen; Ann Nowé (CEC, 2016)

Towards a White Box Approach to Automated Algorithm Design. - Steven Adriaensen; Ann Nowé (IJCAI, 2016)

An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design. - Steven Adriaensen; Filip Moons; Ann Nowé (LION, 2017)

Learning Step-Size Adaptation in CMA-ES. - Gresa Shala; André Biedenkapp; Noor H. Awad; Steven Adriaensen; Marius Lindauer; Frank Hutter (PPSN (1), 2020)

DACBench: A Benchmark Library for Dynamic Algorithm Configuration. - Theresa Eimer; André Biedenkapp; Maximilian Reimer; Steven Adriaensen; Frank Hutter; Marius Lindauer (IJCAI, 2021)

Automated Dynamic Algorithm Configuration. - Steven Adriaensen; André Biedenkapp; Gresa Shala; Noor H. Awad; Theresa Eimer; Marius Lindauer; Frank Hutter (J. Artif. Intell. Res., 2022)

Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks. - Steven Adriaensen; Herilalaina Rakotoarison; Samuel Müller 005; Frank Hutter (NeurIPS, 2023)

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. - Herilalaina Rakotoarison; Steven Adriaensen; Neeratyoy Mallik; Samir Garibov; Eddie Bergman; Frank Hutter (ICML, 2024)

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. - Herilalaina Rakotoarison; Steven Adriaensen; Neeratyoy Mallik; Samir Garibov; Edward Bergman; Frank Hutter (CoRR, 2024)

Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics. - Indrashis Das; Mahmoud Safari; Steven Adriaensen; Frank Hutter (CoRR, 2025)

Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks. - Dongwoo Lee; Dong Bok Lee; Steven Adriaensen; Juho Lee; Sung Ju Hwang; Frank Hutter; Seon Joo Kim; Hae Beom Lee (CoRR, 2025)