Lennart Purucker

According to our database, Lennart Purucker authored at least 25 papers between 2022 and 2025.

Collaborative distances:

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

2025

Towards Benchmarking Foundation Models for Tabular Data With Text.

Martin Mráz, Breenda Das, Anshul Gupta, Lennart Purucker, Frank Hutter

CoRR, July, 2025

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data.

Anurag Garg, Muhammad Ali, Noah Hollmann, Lennart Purucker, Samuel Müller, Frank Hutter

CoRR, July, 2025

MARVIS: Modality Adaptive Reasoning over VISualizations.

Benjamin Feuer, Lennart Purucker, Oussama Elachqar, Chinmay Hegde

CoRR, July, 2025

Early Stopping Tabular In-Context Learning.

Jaris Küken, Lennart Purucker, Frank Hutter

CoRR, June, 2025

TabArena: A Living Benchmark for Machine Learning on Tabular Data.

Nick Erickson, Lennart Purucker, Andrej Tschalzev, David Holzmüller, Prateek Mutalik Desai, David Salinas, Frank Hutter

CoRR, June, 2025

Unreflected Use of Tabular Data Repositories Can Undermine Research Quality.

Andrej Tschalzev, Lennart Purucker, Stefan Lüdtke, Frank Hutter, Christian Bartelt, Heiner Stuckenschmidt

CoRR, March, 2025

Accurate predictions on small data with a tabular foundation model.

Noah Hollmann, Samuel Müller, Lennart Purucker, Arjun Krishnakumar, Max Körfer, Shi Bin Hoo, Robin Tibor Schirrmeister, Frank Hutter

Nat., January, 2025

OpenML: Insights from 10 years and more than a thousand papers.

Bernd Bischl, Giuseppe Casalicchio, Taniya Das, Matthias Feurer, Sebastian Fischer, Pieter Gijsbers, Subhaditya Mukherjee, Andreas C. Müller, László Németh, Luis Oala, Lennart Purucker, Sahithya Ravi, Jan N. van Rijn, Prabhant Singh, Joaquin Vanschoren, Jos van der Velde, Marcel Wever

Patterns, 2025

2024

TabPFN.

Noah Hollmann, Frank Hutter, Samuel Gabriel Müller, Lennart Purucker, Arjun Krishnakumar, Max Körfer, Robin Tibor Schirrmeister

Dataset, October, 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

Efficient MedSAMs: Segment Anything in Medical Images on Laptop.

Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang

CoRR, 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

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models.

Rhea Sukthanker, Arber Zela, Benedikt Staffler, Aaron Klein, Lennart Purucker, Jörg K. H. Franke, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

DAFT: Data-Aware Fine-Tuning of Foundation Models for Efficient and Effective Medical Image Segmentation.

Alexander Pfefferle, Lennart Purucker, Frank Hutter

Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024

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

Edward Bergman, Lennart Purucker, Frank Hutter

Proceedings of the International Conference on Automated Machine Learning, 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