Purucker, Lennart
- TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
2025/11/11 by Léo Grinsztajn, Grinsztajn, Léo, Klemens Flöge +46 · 2 voices · 8 citations
Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Advanced Neural Network Applications
- TabArena: A Living Benchmark for Machine Learning on Tabular Data
2025/06/20 by Nick Erickson, Erickson, Nick, Lennart Purucker +11 · 21 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure
2023/07/01 by Purucker, Lennart, Beel, Joeran · 2 citations
#FOS: Computer and information sciences #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Transfer Learning for Finetuning Large Language Models
2024/11/02 by Tobias Strangmann, Strangmann, Tobias, Lennart Purucker +9 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML
2023/07/01 by Purucker, Lennart, Beel, Joeran · 1 citation
#E.m #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG)
- Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML
2023/07/17 by Purucker, Lennart, Schneider, Lennart, Anastacio, Marie +3 · 1 citation
#FOS: Computer and information sciences #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Unreflected Use of Tabular Data Repositories Can Undermine Research Quality
2025/03/12 by Tschalzev, Andrej, Purucker, Lennart, Lüdtke, Stefan +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data
2025/07/05 by Garg, Anurag, Ali, Muhammad, Hollmann, Noah +3 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Don't Waste Your Time: Early Stopping Cross-Validation
2024/05/06 by Edward M. Bergman, Bergman, Edward, Lennart Purucker +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Ensembling Finetuned Language Models for Text Classification
2024/10/25 by Arango, Sebastian Pineda, Janowski, Maciej, Purucker, Lennart +3 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Early Stopping Tabular In-Context Learning
2025/06/26 by Küken, Jaris, Purucker, Lennart, Hutter, Frank · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Towards Benchmarking Foundation Models for Tabular Data With Text
2025/07/10 by Breenda Das, Mráz, Martin, Anshul Gupta +6 · 3 citations
Computer Science · Decision Sciences · Social Sciences · #Computational and Text Analysis Methods #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
2024/05/16 by Rhea Sanjay Sukthanker, Sukthanker, Rhea Sanjay, Arber Zela +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Parallel Computing and Optimization Techniques #Topic Modeling