Florian Buettner
Affiliations:- Goethe University Frankfurt, Germany
- German Cancer Research Center (DKFZ), Germany
- German Cancer Consortium (DKTK), Germany
According to our database1,
Florian Buettner
authored at least 25 papers
between 2009 and 2024.
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Bibliography
2024
CoRR, 2024
2023
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Trustworthy Deep Learning via Proper Calibration Errors: A Unifying Approach for Quantifying the Reliability of Predictive Uncertainty.
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables.
CoRR, 2021
Hierarchical Domain Invariant Variational Auto-Encoding with weak domain supervision.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior.
CoRR, 2018
2010
Using a Bayesian Feature-selection Algorithm to Identify Dose-response Models Based on the Shape of the 3D Dose-distribution: An Example from a Head-and-neck Cancer Trial.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
2009
Using Bayesian Logistic Regression with High-Order Interactions to Model Radiation-Induced Toxicities Following Radiotherapy.
Proceedings of the International Conference on Machine Learning and Applications, 2009