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T. Yong-Jin Han

Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows

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Dec 02, 2020
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Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning

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Jul 18, 2020
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Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design

Jul 16, 2020
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Actionable Attribution Maps for Scientific Machine Learning

Jun 30, 2020
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Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

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Mar 16, 2020
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Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science

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Dec 16, 2019
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Deep Probabilistic Kernels for Sample-Efficient Learning

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Oct 13, 2019
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Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery

Jan 05, 2019
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