Tom Wollschläger

31 papers A* 9Misc 4Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adversarial Alignment for LLMs Requires Simpler, Reproducible, and More Measurable Objectives. CoRR Leo Schwinn, Yan Scholten, Tom Wollschläger, Sophie Xhonneux, Stephen Casper, Stephan Günnemann, Gauthier Gidel
2025	J	`jnl`	Diffusion LLMs are Natural Adversaries for any LLM. CoRR David Lüdke, Tom Wollschläger, Paul Ungermann, Stephan Günnemann, Leo Schwinn
2025	A*	`conf`	Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space. ICLR Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer, Tom Wollschläger, Stephan Günnemann
2025	A*	`conf`	REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective. ICML Simon Geisler, Tom Wollschläger, M. H. I. Abdalla, Vincent Cohen-Addad, Johannes Gasteiger, Stephan Günnemann
2025	J	`jnl`	REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective. CoRR Simon Geisler, Tom Wollschläger, M. H. I. Abdalla, Vincent Cohen-Addad, Johannes Gasteiger, Stephan Günnemann
2025	A*	`conf`	The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence. ICML Tom Wollschläger, Jannes Elstner, Simon Geisler, Vincent Cohen-Addad, Stephan Günnemann, Johannes Gasteiger
2025	J	`jnl`	The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence. CoRR Tom Wollschläger, Jannes Elstner, Simon Geisler, Vincent Cohen-Addad, Stephan Günnemann, Johannes Gasteiger
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
2025	J	`jnl`	What Expressivity Theory Misses: Message Passing Complexity for GNNs. CoRR Niklas Kemper, Tom Wollschläger, Stephan Günnemann
2024	J	`jnl`	Attacking Large Language Models with Projected Gradient Descent. CoRR Simon Geisler, Tom Wollschläger, M. H. I. Abdalla, Johannes Gasteiger, Stephan Günnemann
2024	Misc	`conf`	Certifiably Robust Encoding Schemes. QCE Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024	J	`jnl`	Certifiably Robust Encoding Schemes. CoRR Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024	Misc	`conf`	Discrete Randomized Smoothing Meets Quantum Computing. QCE Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024	J	`jnl`	Discrete Randomized Smoothing Meets Quantum Computing. CoRR Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, 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	A*	`conf`	Expressivity and Generalization: Fragment-Biases for Molecular GNNs. ICML Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann
2024	J	`jnl`	Expressivity and Generalization: Fragment-Biases for Molecular GNNs. CoRR Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann
2024	J	`jnl`	Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space. CoRR Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer, Tom Wollschläger, Stephan Günnemann
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
2023	Misc	`conf`	Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. QCE Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz
2023	J	`jnl`	Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. CoRR Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz
2023	J	`jnl`	Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness. CoRR Francesco Campi, Lukas Gosch, Tom Wollschläger, Yan Scholten, Stephan Günnemann
2023	A*	`conf`	Localized Randomized Smoothing for Collective Robustness Certification. ICLR Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
2023	A*	`conf`	Uncertainty Estimation for Molecules: Desiderata and Methods. ICML Tom Wollschläger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Günnemann
2023	J	`jnl`	Uncertainty Estimation for Molecules: Desiderata and Methods. CoRR Tom Wollschläger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Günnemann
2022	J	`jnl`	Localized Randomized Smoothing for Collective Robustness Certification. CoRR Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
2022	Misc	`conf`	Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm. QCE Nicola Franco, Tom Wollschläger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Günnemann