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Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data., , , , и . CoRR, (2019)Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks, , и . (2019)cite arxiv:1907.06732Comment: 12 Pages, 6 Figures.Faster Attend-Infer-Repeat with Tractable Probabilistic Models., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 5966-5975. PMLR, (2019)Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text, , , , , и . Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 15, 2013, том WS-13-16 из AAAI Workshops, AAAI, (2013)Effectively creating weakly labeled training examples via approximate domain knowledge, , , , , и . Inductive Logic Programming, Springer, (2015)Statistical Relational Artificial Intelligence: Logic, Probability, and Computation, , , и . Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers, (2016)Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models, , , , , , и . Proceedings of ECML, (2010)Statistical Relational Learning., и . Encyclopedia of Machine Learning and Data Mining, Springer, (2017)The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models., , и . CoRR, (2022)The Stable Artist: Steering Semantics in Diffusion Latent Space., , , , и . CoRR, (2022)