Stammer, Wolfgang

15 publications

ICML 2025 Bongard in Wonderland: Visual Puzzles That Still Make AI Go Mad? Antonia Wüst, Tim Tobiasch, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting

AAAI 2025 Human-in-the-Loop or AI-in-the-Loop? Automate or Collaborate? Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting

NeurIPS 2025 Object-Centric Concept-Bottlenecks David Steinmann, Wolfgang Stammer, Antonia Wüst, Kristian Kersting

DMLR 2025 V-LoL: A Diagnostic Dataset for Visual Logical Learning Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting

ICML 2025 Where Is the Truth? the Risk of Getting Confounded in a Continual World Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt

NeurIPS 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting

NeurIPSW 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting

TMLR 2024 Learning by Self-Explaining Wolfgang Stammer, Felix Friedrich, David Steinmann, Manuel Brack, Hikaru Shindo, Kristian Kersting

ICML 2024 Learning to Intervene on Concept Bottlenecks David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting

NeurIPS 2024 Neural Concept Binder Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting

UAI 2024 Pix2Code: Learning to Compose Neural Visual Concepts as Programs Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting

ECML-PKDD 2023 Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting

CVPR 2022 Interactive Disentanglement: Learning Concepts by Interacting with Their Prototype Representations Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting

AAAI 2021 Right for Better Reasons: Training Differentiable Models by Constraining Their Influence Functions Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting

CVPR 2021 Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with Their Explanations Wolfgang Stammer, Patrick Schramowski, Kristian Kersting