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Optimization Methods for Scale Invariant Problems in Machine Learning
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Recurrent Neural Network Architectures for Sequence Classification and Explanation
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Computational Electron Microscopy for the Characterization of Soft, Hard, and Hybrid Materials
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Generalizable Data-driven Models for Personalized Shared Control of Human-Machine Systems
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Mutational Processes Modeling and Early Cancer Diagnosis
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Predictive Traffic Operations and Control of Connected and Automated Vehicle Systems
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Nonequilibrium Dynamics of Soft Materials
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Bias in Big Data: 2019 Workshop White Paper
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A Data-driven Approach for Heterogeneous Materials Design
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Integrating Machine Learning and Symbolic Reasoning: Learning to Generate Symbolic Representations from Weak Supervision
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