Dominik Fuchsgruber

5 papers · 2024–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ICML (2) ICCV (1) ICLR (1) NeurIPS (1)

Top co-authors

Stephan Günnemann (5) Tom Wollschläger (3) Stefano Gasperini (1) Sebastian Schmidt (1) Federico Tombari (1) Antonio Oroz (1) Johannes Bordne (1) Simon Geisler (1) Tim Postuvan (1) Julius Koerner (1)

Research topics

Machine Learning (5) Deep Learning (4) Architectures (4) Optimization & Theory (4) Artificial Intelligence (2) Core Methods (2) Learning Types (2) Computer Vision (1) Analysis (1) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Core AI (1)

Keywords

graph neural network (3) epistemic uncertainty (2) out-of-distribution detection (2) evidential learning (2) anomaly detection (2) node classification (1) energy-based model (1) uncertainty estimation (1) data efficiency (1) panoptic segmentation (1) message passing neural network (1) heterophilic graph (1) open-world segmentation (1) mask transformer (1) bayesian uncertainty (1) topological method (1) density estimator (1) flow simulation (1) edge signal (1) orientation equivariance (1)

Papers

Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance ICLR 2025 Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025 Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory ICML 2025 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Uncertainty for Active Learning on Graphs ICML 2024