Wolfgang Stammer

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Visual Concepts

Object Representation

Haplotype Inference

Top Venues

Bus. Inf. Syst. Eng.

Nat. Mach. Intell.

Publications

Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting
Neural Concept Binder. CoRR (2024)
Quentin Delfosse, Sebastian Sztwiertnia, Wolfgang Stammer, Mark Rothermel, Kristian Kersting
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. CoRR (2024)
Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
Pix2Code: Learning to Compose Neural Visual Concepts as Programs. CoRR (2024)
Florian Peter Busch, Roshni Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt
Where is the Truth? The Risk of Getting Confounded in a Continual World. CoRR (2024)
Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
Boosting Object Representation Learning via Motion and Object Continuity. ECML/PKDD (4) (2023)
David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting
Learning to Intervene on Concept Bottlenecks. CoRR (2023)
Wolfgang Stammer, Felix Friedrich, David Steinmann, Hikaru Shindo, Kristian Kersting
Learning by Self-Explaining. CoRR (2023)
Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
V-LoL: A Diagnostic Dataset for Visual Logical Learning. CoRR (2023)
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
Revision Transformers: Instructing Language Models to Change Their Values. ECAI (2023)
Nicolas Pfeuffer, Lorenz Baum, Wolfgang Stammer, Benjamin M. Abdel-Karim, Patrick Schramowski, Andreas M. Bucher, Christian Hügel, Gernot Rohde, Kristian Kersting, Oliver Hinz
Explanatory Interactive Machine Learning. Bus. Inf. Syst. Eng. 65 (6) (2023)
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
A typology for exploring the mitigation of shortcut behaviour. Nat. Mac. Intell. 5 (3) (2023)
Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly
Leveraging explanations in interactive machine learning: An overview. Frontiers Artif. Intell. 6 (2023)
Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
Neural-Probabilistic Answer Set Programming. KR (2022)
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
Revision Transformers: Getting RiT of No-Nos. CoRR (2022)
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
A Typology to Explore and Guide Explanatory Interactive Machine Learning. CoRR (2022)
Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
Boosting Object Representation Learning via Motion and Object Continuity. CoRR (2022)
Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. CVPR (2022)
Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly
Leveraging Explanations in Interactive Machine Learning: An Overview. CoRR (2022)
Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming. CoRR (2021)
Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations. CVPR (2021)
Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. CoRR (2021)
Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions. AAAI (2021)
Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations. CoRR (2020)
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. CoRR (2020)
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
Making deep neural networks right for the right scientific reasons by interacting with their explanations. Nat. Mach. Intell. 2 (8) (2020)