Publikationen

Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations

In: IEEE Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2021), June …

Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

The Causal Loss: Driving Correlation to Imply Causation

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12066, Pages 0-10, arXiv, 2021.

Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

On the Tractability of Neural Causal Inference

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12052, Pages 0-10, arXiv, 2021.

Xiaoting Shao; Arseny Skryagin; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions

In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Conference on Artificial Intelligence (AAAI-2021), Pages 9533-9540, AAAI …

Sophie Burkhardt; Jannis Brugger; Nicolas Wagner; Zahra Ahmadi; Kristian Kersting; Stefan Kramer

Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation

In: Frontiers in Artificial Intelligence, Vol. 4, Pages 0-10, Frontiers, 2021.

Plinio Moreno; Alexandre Bernardino; José Santos-Victor; Rodrigo M. M. Ventura; Kristian Kersting

Editorial: Robots that Learn and Reason: Towards Learning Logic Rules from Noisy Data

In: Frontiers in Robotics and AI, Vol. 8, Pages 0-10, Frontiers, 2021.

Nandini Ramanan; Gautam Kunapuli; Tushar Khot; Bahare Fatemi; Seyed Mehran Kazemi; David Poole; Kristian Kersting; Sriraam Natarajan

Structure learning for relational logistic regression: an ensemble approach

In: Data Mining and Knowledge Discovery, Vol. 35, No. 5, Pages 2089-2111, Springer, 2021.