Garrett B. Goh

According to our database, Garrett B. Goh authored at least 11 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Explanatory Masks for Neural Network Interpretability.

Lawrence Phillips, Garrett B. Goh, Nathan O. Hodas

CoRR, 2019

Multiple-objective Reinforcement Learning for Inverse Design and Identification.

Haoran Wei, Mariefel Olarte, Garrett B. Goh

CoRR, 2019

2018

Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction.

Garrett B. Goh, Khushmeen Sakloth, Charles Siegel, Abhinav Vishnu, Jim Pfaendtner

CoRR, 2018

How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?

Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction.

Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks.

Khushmeen Sakloth, Wesley Beckner, Jim Pfaendtner, Garrett B. Goh

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Deep learning for computational chemistry.

Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu

J. Comput. Chem., 2017

ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction.

Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas

CoRR, 2017

SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties.

Garrett B. Goh, Nathan O. Hodas, Charles Siegel, Abhinav Vishnu

CoRR, 2017

Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models.

Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas, Nathan A. Baker

CoRR, 2017

2014

Parameter Choice Matters: Validating Probe Parameters for Use in Mixed-Solvent Simulations.

Katrina W. Lexa, Garrett B. Goh, Heather A. Carlson

J. Chem. Inf. Model., 2014