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Deriving Neural Architectures from Sequence and Graph Kernels., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2024-2033. PMLR, (2017)Learning Efficiently with Approximate Inference via Dual Losses., , , and . ICML, page 783-790. Omnipress, (2010)Mean Field Theory for Sigmoid Belief Networks, , and . CoRR, (1996)A Stratified Approach to Robustness for Randomly Smoothed Classifiers., , , and . CoRR, (2019)Crystal Diffusion Variational Autoencoder for Periodic Material Generation., , , , and . CoRR, (2021)MAP estimation via agreement on trees: message-passing and linear programming., , and . IEEE Trans. Inf. Theory, 51 (11): 3697-3717 (2005)Are Learned Molecular Representations Ready For Prime Time?, , , , , , , , , and 5 other author(s). CoRR, (2019)Fundamental Limits and Tradeoffs in Invariant Representation Learning., , , , , and . J. Mach. Learn. Res., (2022)Grounding Language for Transfer in Deep Reinforcement Learning., , and . J. Artif. Intell. Res., (2018)Physical network models and multi-source data integration., and . RECOMB, page 312-321. ACM, (2003)