default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFlorian Buettner 0001
Person information
- affiliation: Goethe University Frankfurt, Germany
- affiliation: German Cancer Research Center (DKFZ), Germany
- affiliation: German Cancer Consortium (DKTK), Germany
Other persons with the same name
- Florian A. Büttner
![[0000-0002-0657-9522]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0657-9522")
(aka: Florian Buettner 0002) — Helmholtz Zentrum München, Institute of Computational Biology, Munich, Germany - Florian Büttner 0002 — Technische Hochschule Nürnberg, Germany
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j1]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:
Application-driven validation of posteriors in inverse problems. Medical Image Anal. 101: 103474 (2025)- 2024
- [c24]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 - [c23]Alexander Koebler, Christian Greisinger, Jan Paulus, Ingo Thon, Florian Buettner:
Through the Eyes of the Expert: Aligning Human and Machine Attention for Industrial AI. HCI (52) 2024: 407-423 - [c22]Alexander Koebler, Ingo Thon, Florian Buettner:
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model. ICDM 2024: 735-740 - [c21]Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner:
Provably Better Explanations with Optimized Aggregation of Feature Attributions. ICML 2024 - [c20]Sebastian Gregor Gruber, Florian Buettner:
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models. ICML 2024 - [c19]Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner:
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. KDD 2024: 550-561 - [i24]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:
DomainLab: A modular Python package for domain generalization in deep learning. CoRR abs/2403.14356 (2024) - [i23]Giuseppe Serra, Florian Buettner:
Federated Continual Learning Goes Online: Leveraging Uncertainty for Modality-Agnostic Class-Incremental Learning. CoRR abs/2405.18925 (2024) - [i22]Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner:
Provably Better Explanations with Optimized Aggregation of Feature Attributions. CoRR abs/2406.05090 (2024) - [i21]Giuseppe Serra, Ben Werner, Florian Buettner:
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning. CoRR abs/2407.07668 (2024) - [i20]Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner:
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. CoRR abs/2408.13648 (2024) - [i19]Sebastian G. Gruber, Pascal Tobias Ziegler, Florian Buettner:
Disentangling Mean Embeddings for Better Diagnostics of Image Generators. CoRR abs/2409.01314 (2024) - 2023
- [c18]Achim Hekler, Titus J. Brinker, Florian Buettner:
Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions. AAAI 2023: 14856-14864 - [c17]Sebastian Gruber, Florian Buettner:
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. AISTATS 2023: 11331-11354 - [c16]Arber Qoku, Florian Buettner:
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity. AISTATS 2023: 11545-11562 - [c15]Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner:
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. KDD 2023: 5893-5894 - [c14]Michela Destito, Paolo Zaffino, Jolanda Sabatino, Claudia Critelli, Arber Qoku, Florian Buettner, Salvatore De Rosa, Maria Francesca Spadea:
Deep Learning Model for Video-Classification of Echocardiography Images. MetroXRAINE 2023: 479-483 - [i18]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:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i17]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) - [i16]Sebastian G. Gruber, Florian Büttner:
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models. CoRR abs/2310.05833 (2023) - [i15]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
- [c13]Christian Tomani, Daniel Cremers, Florian Buettner:
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. ECCV (13) 2022: 555-569 - [c12]Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner:
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD 2022: 4908-4909 - [c11]Sebastian G. Gruber, Florian Buettner:
Better Uncertainty Calibration via Proper Scores for Classification and Beyond. NeurIPS 2022 - [c10]Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon:
Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting. ECML/PKDD (6) 2022: 219-235 - [i14]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) - [i13]Arber Qoku, Florian Buettner:
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity. CoRR abs/2204.06242 (2022) - [i12]Sebastian G. Gruber, Florian Buettner:
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. CoRR abs/2210.12256 (2022) - 2021
- [c9]Christian Tomani, Florian Buettner:
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration. AAAI 2021: 9886-9896 - [c8]Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner:
Post-Hoc Uncertainty Calibration for Domain Drift Scenarios. CVPR 2021: 10124-10132 - [c7]Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner:
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. KDD 2021: 4159-4160 - [c6]Yinchong Yang, Florian Buettner:
Multi-output Gaussian Processes for uncertainty-aware recommender systems. UAI 2021: 1505-1514 - [i11]Xudong Sun, Florian Buettner:
Hierarchical Domain Invariant Variational Auto-Encoding with weak domain supervision. CoRR abs/2101.09436 (2021) - [i10]Christian Tomani, Daniel Cremers, Florian Buettner:
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. CoRR abs/2102.12182 (2021) - [i9]Yinchong Yang, Florian Buettner:
Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems. CoRR abs/2106.04221 (2021) - [i8]Arber Qoku, Florian Buettner:
Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables. CoRR abs/2107.03730 (2021) - 2020
- [c5]Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner:
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. ECAI 2020: 1858-1865 - [i7]Florian Buettner, John Piorkowski, Ian McCulloh, Ulli Waltinger:
AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings. CoRR abs/2001.05375 (2020) - [i6]Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner:
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. CoRR abs/2007.05307 (2020) - [i5]Christian Tomani, Florian Buettner:
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration. CoRR abs/2012.10923 (2020) - [i4]Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner:
Post-hoc Uncertainty Calibration for Domain Drift Scenarios. CoRR abs/2012.10988 (2020)
2010 – 2019
- 2019
- [c4]Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models with Distributional Prior. AAAI 2019: 6505-6512 - [c3]Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior. ICLR (Poster) 2019 - 2018
- [i3]Pankaj Gupta, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models. CoRR abs/1808.03793 (2018) - [i2]Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models with Distributional Prior. CoRR abs/1809.06709 (2018) - [i1]Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior. CoRR abs/1810.03947 (2018) - 2010
- [c2]Florian Buettner, Sarah Gulliford, Steve Webb, Mike Partridge, Aisha B. Miah, Kevin J. Harrington, Christopher M. Nutting:
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. ICMLA 2010: 740-745
2000 – 2009
- 2009
- [c1]Florian Buettner, Sarah Gulliford, Steve Webb, Mike Partridge:
Using Bayesian Logistic Regression with High-Order Interactions to Model Radiation-Induced Toxicities Following Radiotherapy. ICMLA 2009: 451-456
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-11 20:05 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
