Follow
Wolfgang Stammer
Title
Cited by
Cited by
Year
Making deep neural networks right for the right scientific reasons by interacting with their explanations
P Schramowski, W Stammer, S Teso, A Brugger, F Herbert, X Shao, ...
Nature Machine Intelligence 2 (8), 476-486, 2020
119*2020
Right for the right concept: Revising neuro-symbolic concepts by interacting with their explanations
W Stammer, P Schramowski, K Kersting
Proceedings of the IEEE/CVF conference on computer vision and pattern…, 2021
442021
Right for better reasons: Training differentiable models by constraining their influence functions
X Shao, A Skryagin, W Stammer, P Schramowski, K Kersting
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9533-9540, 2021
182021
A typology to explore and guide explanatory interactive machine learning
F Friedrich, W Stammer, P Schramowski, K Kersting
arXiv preprint arXiv:2203.03668, 2022
52022
Interactive disentanglement: Learning concepts by interacting with their prototype representations
W Stammer, M Memmel, P Schramowski, K Kersting
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern…, 2022
52022
Neural-Probabilistic Answer Set Programming
A Skryagin, W Stammer, D Ochs, DS Dhami, K Kersting
Proceedings of the International Conference on Principles of Knowledge…, 2022
3*2022
Leveraging explanations in interactive machine learning: An overview
S Teso, Alkan, W Stammer, E Daly
arXiv preprint arXiv:2207.14526, 2022
32022
Machine learning assisted pattern matching: Insight into oxide electronic device performance by phase determination in 4D-STEM datasets
A Zintler, R Eilhardt, S Wang, M Krajnak, P Schramowski, W Stammer, ...
Microscopy and Microanalysis 26 (S2), 1908-1909, 2020
22020
Boosting Object Representation Learning via Motion and Object Continuity
Q Delfosse, W Stammer, T Rothenbacher, D Vittal, K Kersting
arXiv preprint arXiv:2211.09771, 2022
2022
Revision Transformers: Getting RiT of No-Nos
F Friedrich, W Stammer, P Schramowski, K Kersting
arXiv preprint arXiv:2210.10332, 2022
2022
NeurASP: Neural-Probabilistic Answer Set Programming
A Skryagin, W Stammer, D Ochs, D Singh Dhami, K Kristian, NPA Set
2022
Workshop on Interactive Machine Learning
E Daly, O Alkan, S Teso, W Stammer
AAAI Conference on Artificial Intelligence, 2022
2022
Explanations in Interactive Machine Learning
S Teso, O Alkan, E Daly, W Stammer
AAAI Conference on Artificial Intelligence, 2022
2022
Elementary Concept Reasoning (ECR)
W Stammer, M Memmel, P Schramowski, K Kersting
Technical University of Darmstadt, 2021
2021
CLEVR-Hans7
W Stammer, P Schramowski
2020
Insights from Explainable Interactive Machine Learning in the Age of COVID-19
O Hinz, N Pfeuffer, W Stammer, P Schramowski, BM Abdel-Karim, ...
The system can't perform the operation now. Try again later.
Articles 1–16