Sebastian Gruber

According to our database, Sebastian Gruber authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Revisiting Reweighted Risk for Calibration: AURC, Focal Loss, and Inverse Focal Loss.

Han Zhou, Sebastian G. Gruber, Teodora Popordanoska, Matthew B. Blaschko

CoRR, May, 2025

Beyond Segmentation: Confidence-Aware and Debiased Estimation of Ratio-based Biomarkers.

Jiameng Li, Teodora Popordanoska, Sebastian G. Gruber, Frederik Maes, Matthew B. Blaschko

CoRR, May, 2025

Optimizing Estimators of Squared Calibration Errors in Classification.

Sebastian Gregor Gruber, Francis R. Bach

Trans. Mach. Learn. Res., 2025

Application-driven validation of posteriors in inverse problems.

Tim J. Adler, Jan-Hinrich Nölke, Annika Reinke, Minu Dietlinde Tizabi, Sebastian Gruber, Dasha Trofimova, Lynton Ardizzone, Paul F. Jaeger, Florian Buettner, Ullrich Köthe, Lena Maier-Hein

Medical Image Anal., 2025

2024

Disentangling Mean Embeddings for Better Diagnostics of Image Generators.

Sebastian G. Gruber, Pascal Tobias Ziegler, Florian Buettner

CoRR, 2024

A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models.

Sebastian Gregor Gruber, Florian Buettner

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors.

Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition.

Sebastian Gruber, Florian Buettner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Trustworthy Deep Learning via Proper Calibration Errors: A Unifying Approach for Quantifying the Reliability of Predictive Uncertainty.

Sebastian G. Gruber, Florian Buettner

CoRR, 2022

Better Uncertainty Calibration via Proper Scores for Classification and Beyond.

Sebastian G. Gruber, Florian Buettner

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Post-Hoc Uncertainty Calibration for Domain Drift Scenarios.

Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021