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A Dual Approach to Verify and Train Deep Networks., , , , и . IJCAI, стр. 6156-6160. ijcai.org, (2019)CompILE: Compositional Imitation Learning and Execution., , , , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 3418-3428. PMLR, (2019)Improved protein structure prediction using potentials from deep learning., , , , , , , , , и 9 other автор(ы). Nat., 577 (7792): 706-710 (2020)Efficient Neural Network Verification with Exactness Characterization., , , , , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 497-507. AUAI Press, (2019)Solving Mixed Integer Programs Using Neural Networks., , , , , , , , , и 9 other автор(ы). CoRR, (2020)Self-supervised Adversarial Robustness for the Low-label, High-data Regime., , , , и . ICLR, OpenReview.net, (2021)Training Generative Adversarial Networks by Solving Ordinary Differential Equations., , , , , , и . NeurIPS, (2020)Analysing Mathematical Reasoning Abilities of Neural Models, , , и . (2019)cite arxiv:1904.01557.Scalable Verified Training for Provably Robust Image Classification., , , , , , , , и . ICCV, стр. 4841-4850. IEEE, (2019)Towards transformation-resilient provenance detection of digital media., , , , , и . CoRR, (2020)