CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
26944 results for Science
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
- Nian Si
- Jose Blanchet
- et al.
- 2020
- NeurIPS 2020
Conference paperAnchoring Trust in a Totally Open Platform
- Elaine Palmer
- George Wilson
- et al.
- 2020
- ACSAC 2020
TalkCompletion of partial reaction equations
- Alain Vaucher
- Philippe Schwaller
- et al.
- 2020
- NeurIPS 2020
Workshop paperCharacterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
- Yair Schiff
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Workshop paperInvestigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR
- Campbell Watson
- Chulin Wang
- et al.
- 2020
- NeurIPS 2020
Workshop paperLong-Range Seasonal Forecasting of 2m Temperature with Machine Learning
- Etienne Eben Vos
- Ashley Daniel Gritzman
- et al.
- 2020
- NeurIPS 2020
Workshop paperMonitoring the Impact of Wildfires on Tree Species with Deep Learning
- Wang Zhou
- Levente Klein
- 2020
- NeurIPS 2020
Workshop paperData augmentation strategies to improve reaction yield predictions and estimate uncertainty
- Philippe Schwaller
- Alain Vaucher
- et al.
- 2020
- NeurIPS 2020
Workshop paperQuality Estimation & Interpretability for Code Translation
- Mayank Agarwal
- Kartik Talamadupula
- et al.
- 2020
- NeurIPS 2020
Workshop paper