Supervised Neural Network Learning with an Environment Adapted Supervision Based on Motivation Learning Factors. - Maciej Janowski; Adrian Horzyk (ICAISC (1), 2018)

Mediating Open Data Consumption - Identifying Story Patterns for Linked Open Statistical Data. - Maciej Janowski; Adegboyega Ojo; Edward Curry; Lukasz Porwol (ICEGOV, 2019)

JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search. - Archit Bansal; Danny Stoll; Maciej Janowski; Arber Zela; Frank Hutter (NeurIPS, 2022)

Scaling Laws for Hyperparameter Optimization. - Arlind Kadra; Maciej Janowski; Martin Wistuba; Josif Grabocka (NeurIPS, 2023)

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. - Neeratyoy Mallik; Edward Bergman; Carl Hvarfner; Danny Stoll; Maciej Janowski; Marius Lindauer; Luigi Nardi; Frank Hutter (NeurIPS, 2023)

Deep Power Laws for Hyperparameter Optimization. - Arlind Kadra; Maciej Janowski; Martin Wistuba; Josif Grabocka (CoRR, 2023)

Dynamic Post-Hoc Neural Ensemblers. - Sebastian Pineda-Arango; Maciej Janowski; Lennart Purucker; Arber Zela; Frank Hutter; Josif Grabocka (CoRR, 2024)

Ensembling Finetuned Language Models for Text Classification. - Sebastian Pineda-Arango; Maciej Janowski; Lennart Purucker; Arber Zela; Frank Hutter; Josif Grabocka (CoRR, 2024)

Warmstarting for Scaling Language Models. - Neeratyoy Mallik; Maciej Janowski; Johannes Hog; Herilalaina Rakotoarison; Aaron Klein; Josif Grabocka; Frank Hutter (CoRR, 2024)

How Usable is Automated Feature Engineering for Tabular Data? - Bastian Schäfer; Lennart Purucker; Maciej Janowski; Frank Hutter (CoRR, 2025)