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Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash


Nov 24, 2021
Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting

* 22 pages, 15 figures, 5 tables 

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Do Not Trust Prediction Scores for Membership Inference Attacks


Nov 17, 2021
Dominik Hintersdorf, Lukas Struppek, Kristian Kersting

* 15 pages, 9 figures, 9 tables 

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SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming


Nov 01, 2021
Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting

* 16 pages, 7 figures and 5 tables 

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The Causal Loss: Driving Correlation to Imply Causation


Oct 22, 2021
Moritz Willig, Matej Zečević, Devendra Singh Dhami, Kristian Kersting

* Main paper: 8 pages, References: 2 pages, Appendix: 3 pages. Figures: 4 main, 4 appendix. Tables: 2 main 

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On the Tractability of Neural Causal Inference


Oct 22, 2021
Matej Zečević, Devendra Singh Dhami, Kristian Kersting

* Main paper: 8 pages, References: 2 pages, Appendix: 5 pages. Figures: 5 main, 2 appendix 

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Explaining Deep Tractable Probabilistic Models: The sum-product network case


Oct 19, 2021
Athresh Karanam, Saurabh Mathur, Predrag Radivojac, Kristian Kersting, Sriraam Natarajan

* Main paper: 8 pages, references: 1 page. Main paper: 4 figures 

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Neuro-Symbolic Forward Reasoning


Oct 18, 2021
Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting

* Preprint 

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Inferring Offensiveness In Images From Natural Language Supervision


Oct 08, 2021
Patrick Schramowski, Kristian Kersting


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CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability


Oct 07, 2021
Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting


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Structural Causal Interpretation Theorem


Oct 05, 2021
Matej Zečević, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting

* Main paper: 9.5 pages, References: 2.5 pages, Supplement: 18 pages. Main paper: 5 figures, Supplement: 10 figures 

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DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection


Sep 22, 2021
Steven Lang, Fabrizio Ventola, Kristian Kersting

* Main paper: 7 pages, References: 2 pages, Appendix: 5 pages; Main paper: 5 figures, Appendix: 5 figures 

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Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits


Sep 14, 2021
Zhongjie Yu, Devendra Singh Dhami, Kristian Kersting


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Relating Graph Neural Networks to Structural Causal Models


Sep 10, 2021
Matej Zečević, Devendra Singh Dhami, Petar Veličković, Kristian Kersting

* Main paper: 7 pages, References: 2 pages, Appendix: 10 pages; Main paper: 5 figures, Appendix: 3 figures 

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Generative Adversarial Neural Cellular Automata


Jul 19, 2021
Maximilian Otte, Quentin Delfosse, Johannes Czech, Kristian Kersting

* 8 pages with 12 figures 

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Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression


Jun 16, 2021
Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting

* Accepted for the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) 

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RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting


Jun 08, 2021
Nils Thoma, Zhongjie Yu, Fabrizio Ventola, Kristian Kersting


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Intriguing Parameters of Structural Causal Models


May 29, 2021
Matej Zečević, Devendra Singh Dhami, Kristian Kersting

* Main paper: 9 pages, References: 2 pages, Supplement: 2 pages. Main paper: 3 figures, Supplement: 1 figure 

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User Label Leakage from Gradients in Federated Learning


May 22, 2021
Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser


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Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation


Apr 02, 2021
Karl Stelzner, Kristian Kersting, Adam R. Kosiorek

* 15 pages, 3 figures. For project page with videos, see http://stelzner.github.io/obsurf/ 

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Language Models have a Moral Dimension


Mar 08, 2021
Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin Rothkopf, Kristian Kersting


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Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models


Feb 23, 2021
Matej Zečević, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting

* Main paper: 8 pages, References: 2 pages, Appendix: 4 pages. Main paper: 4 figures, Appendix: 3 figures 

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Recurrent Rational Networks


Feb 18, 2021
Quentin Delfosse, Patrick Schramowski, Alejandro Molina, Kristian Kersting

* Main paper: 8 pages, References: 2 pages, Appendix: 5 pages. Main paper: 6 figures, Appendix: 5 figures. Rational Activation Functions repository: https://github.com/ml-research/rational_activations Rational Supervised Learning: https://github.com/ml-research/rational_sl Rational Reinforcement Learning: https://github.com/ml-research/rational_rl 

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Monte-Carlo Graph Search for AlphaZero


Dec 20, 2020
Johannes Czech, Patrick Korus, Kristian Kersting

* 11 pages, 7 figures, 3 tables 

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Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation


Dec 15, 2020
Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer


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Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations


Dec 14, 2020
Wolfgang Stammer, Patrick Schramowski, Kristian Kersting


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