| Metabolomic profiles predict individual multidisease outcomes T Buergel, J Steinfeldt, G Ruyoga, M Pietzner, D Bizzarri, D Vojinovic, ... Nature medicine 28 (11), 2309-2320, 2022 | 122 | 2022 |
| TabPFN: A transformer that solves small tabular classification problems in a second N Hollmann, S Müller, K Eggensperger, F Hutter International Conference on Learning Representations 2023, 2023 | 111 | 2023 |
| Transformers Can Do Bayesian Inference S Müller, N Hollmann, SP Arango, J Grabocka, F Hutter International Conference on Learning Representations 2022, 2022 | 69 | 2022 |
| Neural network-based integration of polygenic and clinical information: development and validation of a prediction model for 10-year risk of major adverse cardiac events in the … J Steinfeldt, T Buergel, L Loock, P Kittner, G Ruyoga, JU Zu Belzen, ... The Lancet Digital Health 4 (2), e84-e94, 2022 | 29 | 2022 |
| Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering N Hollmann, S Müller, F Hutter Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 18* | 2023 |
| Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval. N Hollmann, C Eickhoff CLEF (working notes), 7-8, 2017 | 12 | 2017 |
| PFNs Are Flexible Models for Real-World Bayesian Optimization S Müller, M Feurer, N Hollmann, F Hutter International Conference on Machine Learning 2023, 2023 | 8* | 2023 |
