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Sebastian Gruber 0001

Sebastian G. Gruber – Sebastian Gregor Gruber

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affiliation: German Cancer Research Center (DKFZ), Germany German Cancer Consortium (DKTK), Frankfurt, Germany
affiliation: Goethe University Frankfurt, Germany

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2020 – today

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2024
[c4]
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  - conf/aistats/PopordanoskaGTB24
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Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko:
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. AISTATS 2024: 3466-3474
2023
[c3]
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  - conf/aistats/0001023
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Sebastian Gruber, Florian Buettner:
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. AISTATS 2023: 11331-11354
[i6]
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  - journals/corr/abs-2309-09764
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Tim J. Adler, Jan-Hinrich Nölke, Annika Reinke, Minu Dietlinde Tizabi, Sebastian Gruber, Dasha Trofimova, Lynton Ardizzone, Paul F. Jaeger, Florian Büttner, Ullrich Köthe, Lena Maier-Hein:
Application-driven Validation of Posteriors in Inverse Problems. CoRR abs/2309.09764 (2023)
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  - journals/corr/abs-2310-05833
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Sebastian G. Gruber, Florian Büttner:
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models. CoRR abs/2310.05833 (2023)
[i4]
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  - journals/corr/abs-2312-08589
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Teodora Popordanoska, Sebastian G. Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko:
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. CoRR abs/2312.08589 (2023)
2022
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Sebastian G. Gruber, Florian Buettner:
Better Uncertainty Calibration via Proper Scores for Classification and Beyond. NeurIPS 2022
[i3]
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  - journals/corr/abs-2203-07835
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Sebastian G. Gruber, Florian Buettner:
Trustworthy Deep Learning via Proper Calibration Errors: A Unifying Approach for Quantifying the Reliability of Predictive Uncertainty. CoRR abs/2203.07835 (2022)
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  - journals/corr/abs-2210-12256
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Sebastian G. Gruber, Florian Buettner:
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. CoRR abs/2210.12256 (2022)
2021
[c1]
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  - conf/cvpr/TomaniGECB21
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Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner:
Post-Hoc Uncertainty Calibration for Domain Drift Scenarios. CVPR 2021: 10124-10132
2020
[i1]
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  - journals/corr/abs-2012-10988
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Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner:
Post-hoc Uncertainty Calibration for Domain Drift Scenarios. CoRR abs/2012.10988 (2020)

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