De Raedt L, Kersting K, Natarajan S, & Poole D (2016). Statistical Relational Artificial Intelligence: Logic, Probability and Computation. Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan Claypool Publishers, 1-198. DOI: 10.1007/978-3-031-01574-8
Friedrich F, Stammer W, Schramowski P, & Kersting K1,4,5 (2023). A typology for exploring the mitigation of shortcut behaviour. Nature Machine Intelligence, 5:319-330. DOI: 10.1038/s42256-023-00612-w
Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole (eds.) (2021): “An Introduction to Lifted Probabilistic Inference”. Neural Information Processing series, MIT Press, ISBN: 9780262542593. DOI: 10.7551/mitpress/10548.001.0001
Kersting K, Mladenov M, & Tokmakov P (2017). Relational linear programming. Artificial Intelligence Journal (AIJ), 244:188-216. DOI: 10.1016/j.artint.2015.06.009
Peharz R, Lang S, Vergari A, Stelzner K, Molina A, Trapp M, Van den Broeck G, Kersting K, & Ghahramani Z (2020). Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. International Conference on Machine Learning (ICML). URL: http://proceedings.mlr.press/v119/peharz20a/peharz20a.pdf
Ramanan N, Kunapuli G, Khot T, Fatemi B, Kazemi SM, Poole D, Kersting K, & Natarajan S (2021). Structure learning for relational logistic regression: an ensemble approach. Data Minining and Knowledge Discovery (DAMI), 35(5), 2089-2111. DOI: 10.1007/s10618-021-00770-8
Schramowski P, Turan C, Andersen N, Rothkopf CA, & Kersting K (2022): Large pre-trained language models contain human-like biases of what is right and wrong to do. Nature Machine Intelligence, 4, 258-268. DOI: 10.1038/s42256-022-00458-8
Zamani Z, Sanner S, Poupart P, & Kersting K (2012). Symbolic dynamic programming for continuous state and observation POMDPs. Conference on Neural Information Processing Systems (NeurIPS). URL: https://papers.nips.cc/paper_files/paper/2012
Zecevic M, Dhami DS, Karanam A, Natarajan S, & Kersting K (2021): Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. Conference on Neural Information Processing Systems (NeurIPS), 15019-15031. URL: https://papers.nips.cc/paper_files/paper/2021