| 2025 | ICML | Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks. | Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee |
| 2024 | ICML | In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. | Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Eddie Bergman, Frank Hutter |
| 2021 | IJCAI | DACBench: A Benchmark Library for Dynamic Algorithm Configuration. | Theresa Eimer, Andr Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer |
| 2020 | PPSN | Learning Step-Size Adaptation in CMA-ES. | Gresa Shala, Andr Biedenkapp, Noor H. Awad, Steven Adriaensen, Marius Lindauer, Frank Hutter |
| 2016 | CEC | Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex. | Steven Adriaensen, Ann Now |
| 2016 | IJCAI | Towards a White Box Approach to Automated Algorithm Design. | Steven Adriaensen, Ann Now |
| 2015 | CEC | A benchmark set extension and comparative study for the HyFlex framework. | Steven Adriaensen, Gabriela Ochoa, Ann Now |
| 2014 | CEC | Designing reusable metaheuristic methods: A semi-automated approach. | Steven Adriaensen, Tim Brys, Ann Now |
| 2014 | GECCO | Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic. | Steven Adriaensen, Tim Brys, Ann Now |