Florian Buettner

According to our database, Florian Buettner authored at least 35 papers between 2009 and 2024.

Collaborative distances:

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

2024

Disentangling Mean Embeddings for Better Diagnostics of Image Generators.

Sebastian G. Gruber, Pascal Tobias Ziegler, Florian Buettner

CoRR, 2024

How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning.

Giuseppe Serra, Ben Werner, Florian Buettner

CoRR, 2024

Federated Continual Learning Goes Online: Leveraging Uncertainty for Modality-Agnostic Class-Incremental Learning.

Giuseppe Serra, Florian Buettner

CoRR, 2024

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

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

CoRR, 2024

Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance.

Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Provably Better Explanations with Optimized Aggregation of Feature Attributions.

Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner

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

Through the Eyes of the Expert: Aligning Human and Machine Attention for Industrial AI.

Alexander Koebler, Christian Greisinger, Jan Paulus, Ingo Thon, Florian Buettner

Proceedings of the Artificial Intelligence in HCI, 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

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 Büttner, Ullrich Köthe, Lena Maier-Hein

CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.

Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

CoRR, 2023

Deep Learning Model for Video-Classification of Echocardiography Images.

Michela Destito, Paolo Zaffino, Jolanda Sabatino, Claudia Critelli, Arber Qoku, Florian Buettner, Salvatore De Rosa, Maria Francesca Spadea

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.

Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner

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.

Arber Qoku, Florian Buettner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 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

Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions.

Achim Hekler, Titus J. Brinker, Florian Buettner

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.

Sebastian G. Gruber, Florian Buettner

CoRR, 2022

Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting.

Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI.

Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner

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.

Christian Tomani, Daniel Cremers, Florian Buettner

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables.

Arber Qoku, Florian Buettner

CoRR, 2021

Hierarchical Domain Invariant Variational Auto-Encoding with weak domain supervision.

Xudong Sun, Florian Buettner

CoRR, 2021

Multi-output Gaussian Processes for uncertainty-aware recommender systems.

Yinchong Yang, Florian Buettner

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.

Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration.

Christian Tomani, Florian Buettner

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings.

Florian Buettner, John Piorkowski, Ian McCulloh, Ulli Waltinger

CoRR, 2020

TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification.

Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner

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.

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

Proceedings of the 7th International Conference on Learning Representations, 2019

Document Informed Neural Autoregressive Topic Models with Distributional Prior.

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior.

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

CoRR, 2018

Document Informed Neural Autoregressive Topic Models.

Pankaj Gupta, Florian Buettner, Hinrich Schütze

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.

Florian Buettner, Sarah Gulliford, Steve Webb, Mike Partridge, Aisha B. Miah, Kevin J. Harrington, Christopher M. Nutting

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.

Florian Buettner, Sarah Gulliford, Steve Webb, Mike Partridge

Proceedings of the International Conference on Machine Learning and Applications, 2009