Dominik Fuchsgruber

According to our database, Dominik Fuchsgruber authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Task-Aware Calibration: Provably Optimal Decoding in LLMs.

Tim Tomov, Dominik Fuchsgruber, Rajeev Verma, Stephan Günnemann

CoRR, May, 2026

Task-Awareness Improves LLM Generations and Uncertainty.

Tim Tomov, Dominik Fuchsgruber, Stephan Günnemann

CoRR, January, 2026

2025

The Illusion of Certainty: Uncertainty quantification for LLMs fails under ambiguity.

Tim Tomov, Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann

CoRR, November, 2025

Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory.

Dominik Fuchsgruber, Tom Wollschläger, Johannes Bordne, Stephan Günnemann

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance.

Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann, Simon Geisler

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Prior2former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation.

Sebastian Schmidt, Julius Körner, Dominik Fuchsgruber, Stefano Gasperini, Federico Tombari, Stephan Günnemann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Energy-based Epistemic Uncertainty for Graph Neural Networks.

Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Uncertainty for Active Learning on Graphs.

Dominik Fuchsgruber, Tom Wollschläger, Bertrand Charpentier, Antonio Oroz, Stephan Günnemann

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