Andrew Watkins | DeepAI

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Featured Co-authors

Kyunghyun Cho
218 publications
Saeed Saremi
14 publications
Ji-won Park
12 publications
Natasa Tagasovska
12 publications
Nathan C. Frey
11 publications
Samuel Stanton
10 publications
Joshua Yao-Yu Lin
10 publications
Stephen Ra
9 publications
Richard Bonneau
6 publications
Daniel Berenberg
5 publications
Jae Hyeon Lee
5 publications

research

∙ 06/20/2023

MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty

Structure-based models in the molecular sciences can be highly sensitive...

0 Michael Maser, et al. ∙

research

∙ 02/15/2023

SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers

We investigate Siamese networks for learning related embeddings for augm...

2 Michael Maser, et al. ∙

research

∙ 10/08/2022

PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design

Bayesian optimization offers a sample-efficient framework for navigating...

11 Ji-won Park, et al. ∙

research

∙ 05/09/2022

Multi-segment preserving sampling for deep manifold sampler

Deep generative modeling for biological sequences presents a unique chal...

5 Daniel Berenberg, et al. ∙