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Florian Buettner

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DomainLab: A modular Python package for domain generalization in deep learning

Mar 21, 2024
Xudong Sun, Carla Feistner, Alexej Gossmann, George Schwarz, Rao Muhammad Umer, Lisa Beer, Patrick Rockenschaub, Rahul Babu Shrestha, Armin Gruber, Nutan Chen, Sayedali Shetab Boushehri, Florian Buettner, Carsten Marr

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Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors

Dec 14, 2023
Teodora Popordanoska, Sebastian G. Gruber, Aleksei Tiulpin, Florian Buettner, Matthew B. Blaschko

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

Oct 09, 2023
Sebastian G. Gruber, Florian Buettner

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Application-driven Validation of Posteriors in Inverse Problems

Sep 18, 2023
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

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Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity

Apr 13, 2022
Arber Qoku, Florian Buettner

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

Mar 15, 2022
Sebastian Gruber, Florian Buettner

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Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables

Jul 08, 2021
Arber Qoku, Florian Buettner

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Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems

Jun 08, 2021
Yinchong Yang, Florian Buettner

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Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration

Feb 24, 2021
Christian Tomani, Daniel Cremers, Florian Buettner

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Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization

Feb 22, 2021
Xudong Sun, Florian Buettner

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