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Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines., , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (1): 358-364 (2020)Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells., , , и . CoRR, (2023)Learning Interpretable Models using Soft Integrity Constraints., , , и . ACML, том 129 из Proceedings of Machine Learning Research, стр. 529-544. PMLR, (2020)Learning GAI-Decomposable Utility Models for Multiattribute Decision Making., , и . AAAI, стр. 20412-20419. AAAI Press, (2024)The Role of Instrumental Variables in Causal Inference Based on Independence of Cause and Mechanism., и . Entropy, 23 (8): 928 (2021)Interpretable Cascade Classifiers with Abstention., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 2312-2320. PMLR, (2019)CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks., , и . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, том 2350 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks., , и . IDA, том 12080 из Lecture Notes in Computer Science, стр. 27-39. Springer, (2020)Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism., и . CoRR, (2020)Learning Preference Models with Sparse Interactions of Criteria., , и . IJCAI, стр. 3786-3794. ijcai.org, (2023)