Thomas Yong-Jin Han

Orcid: 0000-0002-3000-2782

According to our database1, Thomas Yong-Jin Han authored at least 12 papers between 2019 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data.
SIAM J. Math. Data Sci., 2021

Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning.
J. Chem. Inf. Model., 2021

Deep kernels with probabilistic embeddings for small-data learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Automated Identification of Molecular Crystals' Packing Motifs.
J. Chem. Inf. Model., 2020

Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge.
J. Chem. Inf. Model., 2020

Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows.
CoRR, 2020

Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning.
CoRR, 2020

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.
CoRR, 2020

Actionable Attribution Maps for Scientific Machine Learning.
CoRR, 2020

Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Deep Probabilistic Kernels for Sample-Efficient Learning.
CoRR, 2019

Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science.
Proceedings of the 2nd International Workshop on Open Services and Tools for Document Analysis, 2019


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