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2020 – today
- 2025
[c11]Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting:
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? AAAI 2025: 28594-28600- 2024
- [c10]David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting:
Learning to Intervene on Concept Bottlenecks. ICML 2024 - [c9]Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting:
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. NeurIPS 2024 - [c8]Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting:
Neural Concept Binder. NeurIPS 2024 - [c7]Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting:
Pix2Code: Learning to Compose Neural Visual Concepts as Programs. UAI 2024: 3829-3852 - [i16]Quentin Delfosse, Sebastian Sztwiertnia, Wolfgang Stammer, Mark Rothermel, Kristian Kersting:
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. CoRR abs/2401.05821 (2024) - [i15]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 abs/2402.06434 (2024) - [i14]Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting:
Pix2Code: Learning to Compose Neural Visual Concepts as Programs. CoRR abs/2402.08280 (2024) - [i13]Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting:
Neural Concept Binder. CoRR abs/2406.09949 (2024) - [i12]Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting:
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? CoRR abs/2412.14232 (2024) - 2023
- [j4]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): 677-701 (2023) - [j3]Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly:
Leveraging explanations in interactive machine learning: An overview. Frontiers Artif. Intell. 6 (2023) - [j2]Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
A typology for exploring the mitigation of shortcut behaviour. Nat. Mac. Intell. 5(3): 319-330 (2023) - [c6]Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Revision Transformers: Instructing Language Models to Change Their Values. ECAI 2023: 756-763 - [c5]Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting:
Boosting Object Representation Learning via Motion and Object Continuity. ECML/PKDD (4) 2023: 610-628 - [i11]Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
V-LoL: A Diagnostic Dataset for Visual Logical Learning. CoRR abs/2306.07743 (2023) - [i10]David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting:
Learning to Intervene on Concept Bottlenecks. CoRR abs/2308.13453 (2023) - [i9]Wolfgang Stammer, Felix Friedrich, David Steinmann, Hikaru Shindo, Kristian Kersting:
Learning by Self-Explaining. CoRR abs/2309.08395 (2023) - 2022
- [c4]Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting:
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. CVPR 2022: 10307-10318 - [c3]Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
Neural-Probabilistic Answer Set Programming. KR 2022 - [i8]Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
A Typology to Explore and Guide Explanatory Interactive Machine Learning. CoRR abs/2203.03668 (2022) - [i7]Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly:
Leveraging Explanations in Interactive Machine Learning: An Overview. CoRR abs/2207.14526 (2022) - [i6]Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Revision Transformers: Getting RiT of No-Nos. CoRR abs/2210.10332 (2022) - [i5]Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting:
Boosting Object Representation Learning via Motion and Object Continuity. CoRR abs/2211.09771 (2022) - 2021
- [c2]Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions. AAAI 2021: 9533-9540 - [c1]Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations. CVPR 2021: 3619-3629 - [i4]Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming. CoRR abs/2110.03395 (2021) - [i3]Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting:
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. CoRR abs/2112.02290 (2021) - 2020
- [j1]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): 476-486 (2020) - [i2]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 abs/2001.05371 (2020) - [i1]Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations. CoRR abs/2011.12854 (2020)
Coauthor Index
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