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iNNvestigate Neural Networks!, , , , , , , , , и . J. Mach. Learn. Res., (2019)Inverse design of 3d molecular structures with conditional generative neural networks., , , , и . CoRR, (2021)Higher-Order Explanations of Graph Neural Networks via Relevant Walks., , , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 44 (11): 7581-7596 (2022)SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects., , , , , и . CoRR, (2021)Quantum-Chemical Insights from Interpretable Atomistic Neural Networks., , , и . Explainable AI, том 11700 из Lecture Notes in Computer Science, Springer, (2019)Learning representations of molecules and materials with atomistic neural networks., , и . CoRR, (2018)Learning how to explain neural networks: PatternNet and PatternAttribution., , , , , , и . ICLR (Poster), OpenReview.net, (2018)The (Un)reliability of saliency methods., , , , , , , и . CoRR, (2017)Autonomous robotic nanofabrication with reinforcement learning., , , , , и . CoRR, (2020)Generating equilibrium molecules with deep neural networks., , и . CoRR, (2018)