Search Results for author: Jan-Christian Huetter

Found 2 papers, 1 papers with code

Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images

1 code implementation8 Jun 2024 Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond

Optical Pooled Screening (OPS) is a powerful tool combining high-content microscopy with genetic engineering to investigate gene function in disease.

Self-Supervised Learning

Toward the Identifiability of Comparative Deep Generative Models

no code implementations29 Jan 2024 Romain Lopez, Jan-Christian Huetter, Ehsan Hajiramezanali, Jonathan Pritchard, Aviv Regev

Finally, we introduce a novel methodology for fitting comparative DGMs that improves the treatment of multiple data sources via multi-objective optimization and that helps adjust the hyperparameter for the regularization in an interpretable manner, using constrained optimization.

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