default search action
Wolfgang Stammer
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c7]David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting:
Learning to Intervene on Concept Bottlenecks. ICML 2024 - [i15]Quentin Delfosse, Sebastian Sztwiertnia, Wolfgang Stammer, Mark Rothermel, Kristian Kersting:
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. CoRR abs/2401.05821 (2024) - [i14]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) - [i13]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) - [i12]Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting:
Neural Concept Binder. CoRR abs/2406.09949 (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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-04 00:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: