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The Outer Product Structure of Neural Network Derivatives., , and . CoRR, (2018)The Quality of Oscillations in Overdamped Networks.. CoRR, (2010)ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation., , and . CHI Extended Abstracts, page 1694-1699. ACM, (2017)Deep learning for computational chemistry., , and . J. Comput. Chem., 38 (16): 1291-1307 (2017)Adaptive Transfer Learning: a simple but effective transfer learning., , , , , , , , , and . CoRR, (2021)One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations., , , , , , , , , and 2 other author(s). CoRR, (2021)A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems., , and . ACC, page 337-344. IEEE, (2018)Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction, , , and . (2017)cite arxiv:1712.02734Comment: Submitted to SIGKDD 2018.SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties., , , and . CoRR, (2017)Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems., , and . CoRR, (2017)