Search Results for author: Nataša Tagasovska

Found 3 papers, 2 papers with code

Retrospective Uncertainties for Deep Models using Vine Copulas

1 code implementation24 Feb 2023 Nataša Tagasovska, Firat Ozdemir, Axel Brando

Despite the major progress of deep models as learning machines, uncertainty estimation remains a major challenge.


Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling

1 code implementation7 Nov 2022 Romain Lopez, Nataša Tagasovska, Stephen Ra, Kyunghyn Cho, Jonathan K. Pritchard, Aviv Regev

Instead, recent methods propose to leverage non-stationary data, as well as the sparse mechanism shift assumption in order to learn disentangled representations with a causal semantic.

Disentanglement Domain Generalization +1

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