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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.

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Weekly discussions on ML for scientific applications

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.

2020

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

2021

Date Topic Presenters
6th January, 2021 Barking up the right tree: an approach to search over molecule synthesis DAGs Akshay

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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.

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