Dominik Fuchsgruber

11 papers A* 4Journal 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Task-Awareness Improves LLM Generations and Uncertainty.
CoRR
Tim Tomov, Dominik Fuchsgruber, Stephan Günnemann
2025 A* conf
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance.
ICLR
Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann, Simon Geisler
2025 J jnl
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation.
CoRR
Sebastian Schmidt, Julius Körner, Dominik Fuchsgruber, Stefano Gasperini, Federico Tombari, Stephan Günnemann
2025 J jnl
The Illusion of Certainty: Uncertainty quantification for LLMs fails under ambiguity.
CoRR
Tim Tomov, Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann
2025 A* conf
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory.
ICML
Dominik Fuchsgruber, Tom Wollschläger, Johannes Bordne, Stephan Günnemann
2025 J jnl
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory.
CoRR
Dominik Fuchsgruber, Tom Wollschläger, Johannes Bordne, Stephan Günnemann
2024 A* conf
Energy-based Epistemic Uncertainty for Graph Neural Networks.
NeurIPS
Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann
2024 J jnl
Energy-based Epistemic Uncertainty for Graph Neural Networks.
CoRR
Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann
2024 J jnl
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance.
CoRR
Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann, Simon Geisler
2024 A* conf
Uncertainty for Active Learning on Graphs.
ICML
Dominik Fuchsgruber, Tom Wollschläger, Bertrand Charpentier, Antonio Oroz, Stephan Günnemann
2024 J jnl
Uncertainty for Active Learning on Graphs.
CoRR
Dominik Fuchsgruber, Tom Wollschläger, Bertrand Charpentier, Antonio Oroz, Stephan Günnemann