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Nataša Tagasovska

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BOtied: Multi-objective Bayesian optimization with tied multivariate ranks

Jun 01, 2023
Ji Won Park, Nataša Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho

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Retrospective Uncertainties for Deep Models using Vine Copulas

Feb 24, 2023
Nataša Tagasovska, Firat Ozdemir, Axel Brando

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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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