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Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data., , , , and . CoRR, (2019)Editorial: Robots that Learn and Reason: Towards Learning Logic Rules from Noisy Data., , , , and . Frontiers Robotics AI, (2021)A unifying view of explicit and implicit feature maps of graph kernels., , , , and . Data Min. Knowl. Discov., 33 (6): 1505-1547 (2019)Structured Object-Aware Physics Prediction for Video Modeling and Planning., , , , and . ICLR, OpenReview.net, (2020)Conditional sum-product networks: Modular probabilistic circuits via gate functions., , , , , , and . Int. J. Approx. Reason., (2022)Learning to transfer optimal navigation policies., , , , and . Adv. Robotics, 21 (13): 1565-1582 (2007)Faster Attend-Infer-Repeat with Tractable Probabilistic Models., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5966-5975. PMLR, (2019)Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures., , , , , , and . CoRR, (2019)Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks, , and . (2019)cite arxiv:1907.06732Comment: 12 Pages, 6 Figures.Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models., , , and . Pacific Symposium on Biocomputing, page 192-203. (2003)