List of papers applying Machine Learning to scientific problems that were discussed in our weekly discussion sessions. Our primary focus is on materials science, molecular optimization and drug discovery.
Date | Topic | Presenters |
---|---|---|
14th December, 2020 | Molecular De Novo Design through Deep Reinforcement Learning | Akshay |
21st December, 2020 | Grammar Variational Autoencoder | Vignesh |
29th December, 2020 | Inverse Design of Solid-State Materials via a Continuous Representation | Rochan |
Date | Topic | Presenters |
---|---|---|
6th January, 2021 | Barking up the right tree: an approach to search over molecule synthesis DAGs | Akshay |