421 citations · 1.2k across the 38 of their papers we have counts for
3 papers · 1 filter
Learning Protein Dynamics with Metastable Switching Systems
Bharath Ramsundar, Vijay S. Pande
We introduce a machine learning approach for extracting fine-grained representations of protein evolution from molecular dynamics datasets. Metastable switching linear dynamical sy…
Massively Multitask Networks for Drug Discovery
Bharath Ramsundar, Steven Kearnes, Patrick Riley +3
Massively multitask neural architectures provide a learning framework for drug discovery that synthesizes information from many distinct biological sources. To train these architec…
The Extended Parameter Filter
Yusuf Erol, Lei Li, Bharath Ramsundar +1
The parameters of temporal models, such as dynamic Bayesian networks, may be modelled in a Bayesian context as static or atemporal variables that influence transition probabilities…