Garrett B. Goh

14 papers A* 1A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Explanatory Masks for Neural Network Interpretability. CoRR Lawrence Phillips, Garrett B. Goh, Nathan O. Hodas
2019	J	`jnl`	Multiple-objective Reinforcement Learning for Inverse Design and Identification. CoRR Haoran Wei, Mariefel Olarte, Garrett B. Goh
2018	A	`conf`	How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? WACV Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker
2018	—	`conf`	IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks. IEEE BigData Khushmeen Sakloth, Wesley Beckner, Jim Pfaendtner, Garrett B. Goh
2018	J	`jnl`	IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks. CoRR Khushmeen Sakloth, Wesley Beckner, Jim Pfaendtner, Garrett B. Goh
2018	J	`jnl`	Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction. CoRR Garrett B. Goh, Khushmeen Sakloth, Charles Siegel, Abhinav Vishnu, Jim Pfaendtner
2018	A*	`conf`	Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction. KDD Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas
2017	J	`jnl`	ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction. CoRR Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas
2017	J	`jnl`	Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models. CoRR Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas, Nathan A. Baker
2017	J	`jnl`	Deep Learning for Computational Chemistry. CoRR Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
2017	J	`jnl`	Deep learning for computational chemistry. J. Comput. Chem. Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
2017	J	`jnl`	How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? CoRR Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker
2017	J	`jnl`	SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties. CoRR Garrett B. Goh, Nathan O. Hodas, Charles Siegel, Abhinav Vishnu
2014	J	`jnl`	Parameter Choice Matters: Validating Probe Parameters for Use in Mixed-Solvent Simulations. J. Chem. Inf. Model. Katrina W. Lexa, Garrett B. Goh, Heather A. Carlson