Post-hoc uncertainty calibration for domain drift scenarios C Tomani, SG Gruber, ME Erdem, D Cremers, F Buettner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 64 | 2021 |
Better Uncertainty Calibration via Proper Scores for Classification and Beyond SG Gruber, F Buettner Advances in Neural Information Processing Systems 35, 8618-8632, 2022 | 24 | 2022 |
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition SG Gruber, F Buettner International Conference on Artificial Intelligence and Statistics, 2023 | 5 | 2023 |
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors T Popordanoska, SG Gruber, A Tiulpin, F Buettner, MB Blaschko International Conference on Artificial Intelligence and Statistics, 3466-3474, 2024 | | 2024 |
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models SG Gruber, F Buettner arXiv preprint arXiv:2310.05833, 2023 | | 2023 |
Post-processing output data of a classifier F Buettner, SG Gruber US Patent App. 17/347,645, 2021 | | 2021 |
Data-free meta learning via knowledge distillation from multiple teachers SG Gruber | | 2021 |
Visualization and replay memory database design for reinforcement learning in R SG Gruber | | 2018 |