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Garrett B. Goh
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2010 – 2019
- 2019
- [i9]Haoran Wei, Mariefel Olarte, Garrett B. Goh:
Multiple-objective Reinforcement Learning for Inverse Design and Identification. CoRR abs/1910.03741 (2019) - [i8]Lawrence Phillips, Garrett B. Goh, Nathan O. Hodas:
Explanatory Masks for Neural Network Interpretability. CoRR abs/1911.06876 (2019) - 2018
- [c3]Khushmeen Sakloth, Wesley Beckner, Jim Pfaendtner, Garrett B. Goh:
IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks. IEEE BigData 2018: 1465-1473 - [c2]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas:
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction. KDD 2018: 302-310 - [c1]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker:
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? WACV 2018: 1340-1349 - [i7]Garrett B. Goh, Khushmeen Sakloth, Charles Siegel, Abhinav Vishnu, Jim Pfaendtner:
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction. CoRR abs/1808.04456 (2018) - [i6]Khushmeen Sakloth, Wesley Beckner, Jim Pfaendtner, Garrett B. Goh:
IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks. CoRR abs/1809.05127 (2018) - 2017
- [j2]Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu:
Deep learning for computational chemistry. J. Comput. Chem. 38(16): 1291-1307 (2017) - [i5]Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu:
Deep Learning for Computational Chemistry. CoRR abs/1701.04503 (2017) - [i4]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas, Nathan A. Baker:
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models. CoRR abs/1706.06689 (2017) - [i3]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker:
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? CoRR abs/1710.02238 (2017) - [i2]Garrett B. Goh, Nathan O. Hodas, Charles Siegel, Abhinav Vishnu:
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties. CoRR abs/1712.02034 (2017) - [i1]Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas:
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction. CoRR abs/1712.02734 (2017) - 2014
- [j1]Katrina W. Lexa, Garrett B. Goh, Heather A. Carlson:
Parameter Choice Matters: Validating Probe Parameters for Use in Mixed-Solvent Simulations. J. Chem. Inf. Model. 54(8): 2190-2199 (2014)
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