Tom Wollschläger

9 papers · 2023–2025 · 3 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14)

Conferences

ICML (6) ICLR (2) NIPS (1)

Top co-authors

Stephan Günnemann (9) Dominik Fuchsgruber (3) Mohamed Amine Ketata (2) Simon Geisler (2) Nicholas Gao (2) Johannes Gasteiger (2) Johanna Sommer (2) Vincent Cohen-Addad (2) Bertrand Charpentier (2) Jannes Elstner (1)

Keywords

out-of-distribution detection (2) uncertainty quantification (2) graph neural network (2) distribution shift (1) anomaly detection (1) evidential learning (1) molecular dynamics (1) uncertainty estimation (1) energy-based model (1) epistemic uncertainty (1) gaussian process (1)

Papers

The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence ICML 2025

Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space ICLR 2025

Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory ICML 2025

REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective ICML 2025

Uncertainty for Active Learning on Graphs ICML 2024

Energy-based Epistemic Uncertainty for Graph Neural Networks NIPS 2024

Expressivity and Generalization: Fragment-Biases for Molecular GNNs ICML 2024

Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023

Localized Randomized Smoothing for Collective Robustness Certification ICLR 2023