Florian Buettner

62 papers A* 14A 5C 2Journal 36Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach. AAAI Nassim Walha, Sebastian G. Gruber, Thomas Decker, Yinchong Yang, Alireza Javanmardi, Eyke Hüllermeier, Florian Buettner
2026	J	`jnl`	From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty. CoRR Azza Jenane, Nassim Walha, Lukas Kuhn, Florian Buettner
2026	J	`jnl`	Mind the Gap: A Framework for Assessing Pitfalls in Multimodal Active Learning. CoRR Dustin Eisenhardt, Yunhee Jeong, Florian Buettner
2026	J	`jnl`	Non-Contrastive Vision-Language Learning with Predictive Embedding Alignment. CoRR Lukas Kuhn, Giuseppe Serra, Florian Buettner
2025	J	`jnl`	An autonomous agent for auditing and improving the reliability of clinical AI models. CoRR Lukas Kuhn, Florian Buettner
2025	J	`jnl`	Application-driven validation of posteriors in inverse problems. Medical Image Anal. 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
2025	J	`jnl`	Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks. CoRR Achim Hekler, Lukas Kuhn, Florian Buettner
2025	J	`jnl`	Decoding heart failure subtypes with neural networks via differential explanation analysis. Briefings Bioinform. Mariano Ruz Jurado, David Rodriguez Morales, Elijah Genetzakis, Fatemeh Behjati-Ardakani, Lukas Zanders, Ariane Fischer, Florian Buettner, Marcel H. Schulz, Stefanie Dimmeler, David John
2025	A*	`conf`	Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond. ICLR Giuseppe Serra, Florian Buettner
2025	J	`jnl`	Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach. CoRR Nassim Walha, Sebastian G. Gruber, Thomas Decker, Yinchong Yang, Alireza Javanmardi, Eyke Hüllermeier, Florian Buettner
2025	J	`jnl`	Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting. CoRR Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon
2025	J	`jnl`	How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning. Trans. Mach. Learn. Res. Giuseppe Serra, Ben Werner, Florian Buettner
2025	J	`jnl`	Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration. CoRR Thomas Decker, Volker Tresp, Florian Buettner
2025	A	`conf`	Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention. AISTATS Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner
2025	J	`jnl`	Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention. CoRR Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner
2025	J	`jnl`	LVLM-Aided Alignment of Task-Specific Vision Models. CoRR Alexander Koebler, Lukas Kuhn, Ingo Thon, Florian Buettner
2025	J	`jnl`	Machine Learning based Analysis for Radiomics Features Robustness in Real-World Deployment Scenarios. CoRR Sarmad Ahmad Khan, Simon Bernatz, Zahra Moslehi, Florian Buettner
2025	J	`jnl`	MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model. CoRR Alexander Koebler, Ingo Thon, Florian Buettner
2025	J	`jnl`	Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations. CoRR Thomas Decker, Volker Tresp, Florian Buettner
2024	A*	`conf`	A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models. ICML Sebastian Gregor Gruber, Florian Buettner
2024	J	`jnl`	Disentangling Mean Embeddings for Better Diagnostics of Image Generators. CoRR Sebastian G. Gruber, Pascal Tobias Ziegler, Florian Buettner
2024	J	`jnl`	DomainLab: A modular Python package for domain generalization in deep learning. CoRR 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
2024	A*	`conf`	Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. KDD Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
2024	J	`jnl`	Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. CoRR Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
2024	J	`jnl`	Federated Continual Learning Goes Online: Leveraging Uncertainty for Modality-Agnostic Class-Incremental Learning. CoRR Giuseppe Serra, Florian Buettner
2024	J	`jnl`	How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning. CoRR Giuseppe Serra, Ben Werner, Florian Buettner
2024	A*	`conf`	MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model. ICDM Alexander Koebler, Ingo Thon, Florian Buettner
2024	A*	`conf`	Provably Better Explanations with Optimized Aggregation of Feature Attributions. ICML Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner
2024	J	`jnl`	Provably Better Explanations with Optimized Aggregation of Feature Attributions. CoRR Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner
2024	—	`conf`	Through the Eyes of the Expert: Aligning Human and Machine Attention for Industrial AI. HCI (52) Alexander Koebler, Christian Greisinger, Jan Paulus, Ingo Thon, Florian Buettner
2023	—	`conf`	Deep Learning Model for Video-Classification of Echocardiography Images. MetroXRAINE Michela Destito, Paolo Zaffino, Jolanda Sabatino, Claudia Critelli, Arber Qoku, Florian Buettner, Salvatore De Rosa, Maria Francesca Spadea
2023	A	`conf`	Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity. AISTATS Arber Qoku, Florian Buettner
2023	A*	`conf`	Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions. AAAI Achim Hekler, Titus J. Brinker, Florian Buettner
2023	A	`conf`	Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. AISTATS Sebastian Gruber, Florian Buettner
2023	A*	`conf`	Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. KDD Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
2022	A*	`conf`	Better Uncertainty Calibration via Proper Scores for Classification and Beyond. NeurIPS Sebastian G. Gruber, Florian Buettner
2022	J	`jnl`	Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity. CoRR Arber Qoku, Florian Buettner
2022	—	`conf`	Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting. ECML/PKDD (6) Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon
2022	—	`conf`	Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. ECCV (13) Christian Tomani, Daniel Cremers, Florian Buettner
2022	J	`jnl`	Trustworthy Deep Learning via Proper Calibration Errors: A Unifying Approach for Quantifying the Reliability of Predictive Uncertainty. CoRR Sebastian G. Gruber, Florian Buettner
2022	J	`jnl`	Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. CoRR Sebastian G. Gruber, Florian Buettner
2022	A*	`conf`	Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
2021	J	`jnl`	Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables. CoRR Arber Qoku, Florian Buettner
2021	J	`jnl`	Hierarchical Domain Invariant Variational Auto-Encoding with weak domain supervision. CoRR Xudong Sun, Florian Buettner
2021	A*	`conf`	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 Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner
2021	J	`jnl`	Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems. CoRR Yinchong Yang, Florian Buettner
2021	A	`conf`	Multi-output Gaussian Processes for uncertainty-aware recommender systems. UAI Yinchong Yang, Florian Buettner
2021	J	`jnl`	Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. CoRR Christian Tomani, Daniel Cremers, Florian Buettner
2021	A*	`conf`	Post-Hoc Uncertainty Calibration for Domain Drift Scenarios. CVPR Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner
2021	A*	`conf`	Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration. AAAI Christian Tomani, Florian Buettner
2020	J	`jnl`	AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings. CoRR Florian Buettner, John Piorkowski, Ian McCulloh, Ulli Waltinger
2020	J	`jnl`	Post-hoc Uncertainty Calibration for Domain Drift Scenarios. CoRR Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner
2020	A	`conf`	TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. ECAI Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner
2020	J	`jnl`	TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. CoRR Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner
2020	J	`jnl`	Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration. CoRR Christian Tomani, Florian Buettner
2019	A*	`conf`	Document Informed Neural Autoregressive Topic Models with Distributional Prior. AAAI Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
2019	—	`conf`	Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior. ICLR (Poster) Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
2018	J	`jnl`	Document Informed Neural Autoregressive Topic Models with Distributional Prior. CoRR Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
2018	J	`jnl`	Document Informed Neural Autoregressive Topic Models. CoRR Pankaj Gupta, Florian Buettner, Hinrich Schütze
2018	J	`jnl`	textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior. CoRR Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
2010	C	`conf`	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 Florian Buettner, Sarah Gulliford, Steve Webb, Mike Partridge, Aisha B. Miah, Kevin J. Harrington, Christopher M. Nutting
2009	C	`conf`	Using Bayesian Logistic Regression with High-Order Interactions to Model Radiation-Induced Toxicities Following Radiotherapy. ICMLA Florian Buettner, Sarah Gulliford, Steve Webb, Mike Partridge