Articles with public access mandates - Samuel MüllerLearn more
Available somewhere: 5
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation
SG Müller, F Hutter
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Mandates: European Commission
Transformers Can Do Bayesian Inference
S Müller, N Hollmann, SP Arango, J Grabocka, F Hutter
The Tenth International Conference on Learning Representations (ICLR), 2022
Mandates: German Research Foundation
PFNs4BO: In-Context Learning for Bayesian Optimization
S Müller, M Feurer, N Hollmann, F Hutter
ICML 2023, 2023
Mandates: German Research Foundation, European Commission
Efficient bayesian learning curve extrapolation using prior-data fitted networks
S Adriaensen, H Rakotoarison, S Müller, F Hutter
Advances in Neural Information Processing Systems 36, 2024
Mandates: German Research Foundation, European Commission
Accurate predictions on small data with a tabular foundation model
N Hollmann, S Müller, L Purucker, A Krishnakumar, M Körfer, SB Hoo, ...
Nature 637 (8045), 319-326, 2025
Mandates: European Commission
Publication and funding information is determined automatically by a computer program