Predicting Drug Solubility Using Different Machine Learning Methods - Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network.

[BibT_eX]

[DOI]

John Ho

Zhao-Heng Yin

CoRR, 2023

2022

Predicting Immune Escape with Pretrained Protein Language Model Embeddings.

[BibT_eX]

[DOI]

Kyle Swanson

Howard Chang

James Zou

Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

Monte Carlo Tree Search for Interpreting Stress in Natural Language.

[BibT_eX]

[DOI]

Kyle Swanson

Joy Hsu

Mirac Suzgun

Proceedings of the Second Workshop on Language Technology for Equality, 2022

2021

VMAF-based Bitrate Ladder Estimation for Adaptive Streaming.

[BibT_eX]

[DOI]

Proceedings of the Picture Coding Symposium, 2021

2020

Uncertainty Quantification Using Neural Networks for Molecular Property Prediction.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2020

Improving Molecular Design by Stochastic Iterative Target Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport.

[BibT_eX]

[DOI]

Kyle Swanson

Lili Yu

Tao Lei

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Correction to Analyzing Learned Molecular Representations for Property Prediction.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2019

Analyzing Learned Molecular Representations for Property Prediction.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2019

Deep Learning for Automated Classification and Characterization of Amorphous Materials.

[BibT_eX]

[DOI]

CoRR, 2019

Building a Production Model for Retrieval-Based Chatbots.

[BibT_eX]

[DOI]

CoRR, 2019

Are Learned Molecular Representations Ready For Prime Time?

[BibT_eX]

[DOI]

CoRR, 2019

Kyle Swanson

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