Thomas Decker - RankMe

18 papers A* 3A 1B 1C 1Misc 1Journal 10Unranked 1

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
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`	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`	Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations. CoRR Thomas Decker, Volker Tresp, Florian Buettner
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	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
2023	Misc	`conf`	Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. ICASSP Thomas Decker, Michael Lebacher, Volker Tresp
2023	J	`jnl`	Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. CoRR Thomas Decker, Michael Lebacher, Volker Tresp
2023	C	`conf`	Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. INDIN Thomas Decker, Michael Lebacher, Volker Tresp
2023	J	`jnl`	Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. CoRR Thomas Decker, Michael Lebacher, Volker Tresp
2023	—	`conf`	The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research. HCI (40) Thomas Decker, Ralf Gross, Alexander Koebler, Michael Lebacher, Ronald Schnitzer, Stefan H. Weber
2023	J	`jnl`	The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research. CoRR Thomas Decker, Ralf Gross, Alexander Koebler, Michael Lebacher, Ronald Schnitzer, Stefan H. Weber
2023	B	`conf`	Towards Scenario-Based Safety Validation for Autonomous Trains with Deep Generative Models. SAFECOMP Thomas Decker, Ananta R. Bhattarai, Michael Lebacher
2023	J	`jnl`	Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models. CoRR Thomas Decker, Ananta R. Bhattarai, Michael Lebacher