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Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling


Nov 09, 2022
Romain Lopez, Nataša Tagasovska, Stephen Ra, Kyunghyn Cho, Jonathan K. Pritchard, Aviv Regev


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A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences


Oct 19, 2022
Nataša Tagasovska, Nathan C. Frey, Andreas Loukas, Isidro Hötzel, Julien Lafrance-Vanasse, Ryan Lewis Kelly, Yan Wu, Arvind Rajpal, Richard Bonneau, Kyunghyun Cho, Stephen Ra, Vladimir Gligorijević


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


Oct 08, 2022
Ji Won Park, Samuel Stanton, Saeed Saremi, Andrew Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho

* 9 pages, 7 figures. Submitted to NeurIPS 2022 AI4Science Workshop 

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Multi-segment preserving sampling for deep manifold sampler


May 09, 2022
Daniel Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew Watkins, Vladimir Gligorijević, Richard Bonneau, Stephen Ra, Kyunghyun Cho


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Black Box Recursive Translations for Molecular Optimization


Dec 21, 2019
Farhan Damani, Vishnu Sresht, Stephen Ra


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