Wolfgang Stammer

43 papers A* 10A 2Journal 29Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rethinking Concept Bottleneck Models: From Pitfalls to Solutions.
CoRR
Merve Tapli, Quentin Bouniot, Wolfgang Stammer, Zeynep Akata, Emre Akbas
2025 J jnl
ActivationReasoning: Logical Reasoning in Latent Activation Spaces.
CoRR
Lukas Helff, Ruben Härle, Wolfgang Stammer, Felix Friedrich, Manuel Brack, Antonia Wüst, Hikaru Shindo, Patrick Schramowski, Kristian Kersting
2025 A* conf
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
ICML
Antonia Wüst, Tim Nelson Tobiasch, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
2025 J jnl
Fodor and Pylyshyn's Legacy - Still No Human-like Systematic Compositionality in Neural Networks.
CoRR
Tim Woydt, Moritz Willig, Antonia Wüst, Lukas Helff, Wolfgang Stammer, Constantin A. Rothkopf, Kristian Kersting
2025 A* conf
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
AAAI
Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting
2025 J jnl
Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings.
CoRR
Berkant Turan, Suhrab Asadulla, David Steinmann, Wolfgang Stammer, Sebastian Pokutta
2025 J jnl
Object Centric Concept Bottlenecks.
CoRR
David Steinmann, Wolfgang Stammer, Antonia Wüst, Kristian Kersting
2025 J jnl
SLR: An Automated Synthesis Framework for Scalable Logical Reasoning.
CoRR
Lukas Helff, Ahmad Omar, Felix Friedrich, Wolfgang Stammer, Antonia Wüst, Tim Woydt, Rupert Mitchell, Patrick Schramowski, Kristian Kersting
2025 J jnl
Synthesizing Visual Concepts as Vision-Language Programs.
CoRR
Antonia Wüst, Wolfgang Stammer, Hikaru Shindo, Lukas Helff, Devendra Singh Dhami, Kristian Kersting
2025 — —
The Value of Symbolic Concepts for AI Explanations and Interactions.
Wolfgang Stammer
2025 J jnl
V-LoL: A Diagnostic Dataset for Visual Logical Learning.
J. Data-centric Mach. Learn. Res.
Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2025 A* conf
Where is the Truth? The Risk of Getting Confounded in a Continual World.
ICML
Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt
2024 J jnl
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
CoRR
Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting
2024 A* conf
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents.
NeurIPS
Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting
2024 J jnl
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents.
CoRR
Quentin Delfosse, Sebastian Sztwiertnia, Wolfgang Stammer, Mark Rothermel, Kristian Kersting
2024 J jnl
Learning by Self-Explaining.
Trans. Mach. Learn. Res.
Wolfgang Stammer, Felix Friedrich, David Steinmann, Manuel Brack, Hikaru Shindo, Kristian Kersting
2024 A* conf
Learning to Intervene on Concept Bottlenecks.
ICML
David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting
2024 A* conf
Neural Concept Binder.
NeurIPS
Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting
2024 J jnl
Neural Concept Binder.
CoRR
Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting
2024 A conf
Pix2Code: Learning to Compose Neural Visual Concepts as Programs.
UAI
Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Pix2Code: Learning to Compose Neural Visual Concepts as Programs.
CoRR
Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Where is the Truth? The Risk of Getting Confounded in a Continual World.
CoRR
Florian Peter Busch, Roshni Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt
2023 J jnl
A typology for exploring the mitigation of shortcut behaviour.
Nat. Mac. Intell.
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2023 — conf
Boosting Object Representation Learning via Motion and Object Continuity.
ECML/PKDD (4)
Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
2023 J jnl
Explanatory Interactive Machine Learning.
Bus. Inf. Syst. Eng.
Nicolas Pfeuffer, Lorenz Baum, Wolfgang Stammer, Benjamin M. Abdel-Karim, Patrick Schramowski, Andreas M. Bucher, Christian Hügel, Gernot Rohde, Kristian Kersting, Oliver Hinz
2023 J jnl
Learning by Self-Explaining.
CoRR
Wolfgang Stammer, Felix Friedrich, David Steinmann, Hikaru Shindo, Kristian Kersting
2023 J jnl
Learning to Intervene on Concept Bottlenecks.
CoRR
David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting
2023 J jnl
Leveraging explanations in interactive machine learning: An overview.
Frontiers Artif. Intell.
Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly
2023 A conf
Revision Transformers: Instructing Language Models to Change Their Values.
ECAI
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2023 J jnl
V-LoL: A Diagnostic Dataset for Visual Logical Learning.
CoRR
Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
A Typology to Explore and Guide Explanatory Interactive Machine Learning.
CoRR
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2022 J jnl
Boosting Object Representation Learning via Motion and Object Continuity.
CoRR
Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
2022 A* conf
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations.
CVPR
Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting
2022 J jnl
Leveraging Explanations in Interactive Machine Learning: An Overview.
CoRR
Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly
2022 A* conf
Neural-Probabilistic Answer Set Programming.
KR
Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Revision Transformers: Getting RiT of No-Nos.
CoRR
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2021 J jnl
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations.
CoRR
Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting
2021 A* conf
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions.
AAAI
Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2021 A* conf
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations.
CVPR
Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2021 J jnl
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming.
CoRR
Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2020 J jnl
Making deep neural networks right for the right scientific reasons by interacting with their explanations.
Nat. Mach. Intell.
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
2020 J jnl
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations.
CoRR
Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2020 J jnl
Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations.
CoRR
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting