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Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns


Mar 25, 2022
Carl Poelking, Gianni Chessari, Christopher W. Murray, Richard J. Hall, Lucy Colwell, Marcel Verdonk


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Rethinking Attention with Performers


Sep 30, 2020
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, Adrian Weller

* 36 pages. This is an updated version of a previous submission which can be found at arXiv:2006.03555. See https://github.com/google-research/google-research/tree/master/protein_lm for protein language model code, and https://github.com/google-research/google-research/tree/master/performer for Performer code 

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Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers


Jun 05, 2020
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamas Sarlos, David Belanger, Lucy Colwell, Adrian Weller

* 14 pages, 11 figures 

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Population-Based Black-Box Optimization for Biological Sequence Design


Jun 05, 2020
Christof Angermueller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy Colwell, D Sculley


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Noisy, sparse, nonlinear: Navigating the Bermuda Triangle of physical inference with deep filtering


Nov 19, 2019
Carl Poelking, Yehia Amar, Alexei Lapkin, Lucy Colwell


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Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry


Nov 29, 2018
Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy Colwell


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