Lennart Purucker

According to our database, Lennart Purucker authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AMLTK: A Modular AutoML Toolkit in Python.

Edward Bergman, Matthias Feurer, Aron Bahram, Amir Rezaei Balef, Lennart Purucker, Sarah Segel, Marius Lindauer, Frank Hutter, Katharina Eggensperger

J. Open Source Softw., 2024

Transfer Learning for Finetuning Large Language Models.

Tobias Strangmann, Lennart Purucker, Jörg K. H. Franke, Ivo Rapant, Fabio Ferreira, Frank Hutter

CoRR, 2024

Ensembling Finetuned Language Models for Text Classification.

Sebastian Pineda-Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka

CoRR, 2024

Large Language Models Engineer Too Many Simple Features For Tabular Data.

Jaris Küken, Lennart Purucker, Frank Hutter

CoRR, 2024

Dynamic Post-Hoc Neural Ensemblers.

Sebastian Pineda-Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka

CoRR, 2024

Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost.

Jannis Maier, Felix Möller, Lennart Purucker

CoRR, 2024

Don't Waste Your Time: Early Stopping Cross-Validation.

Edward Bergman, Lennart Purucker, Frank Hutter

CoRR, 2024

Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems.

Lukas Wegmeth, Tobias Vente, Lennart Purucker

Proceedings of the Advances in Information Retrieval, 2024

2023

Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML.

Lennart Purucker, Joeran Beel

CoRR, 2023

The Effect of Random Seeds for Data Splitting on Recommendation Accuracy.

Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel

Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML.

Lennart Oswald Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos

Proceedings of the International Conference on Automated Machine Learning, 2023

CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure.

Lennart Oswald Purucker, Joeran Beel

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Estimating the Pruned Search Space Size of Subgroup Discovery.

Lennart Purucker, Felix I. Stamm, Florian Lemmerich, Joeran Beel

Proceedings of the IEEE International Conference on Data Mining, 2022