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Dominik Klein

3 accepted papers

2024

GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics

NeurIPS 2024poster

Single-cell genomics has significantly advanced our understanding of cellular behavior, catalyzing innovations in treatments and precision medicine. However, single-cell sequencing technologies are inherently destructive and can only measure a limited array of data modalities simultaneously. This li…

2024

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation

ICLR 2024poster

In optimal transport (OT), a Monge map is known as a mapping that transports a source distribution to a target distribution in the most cost-efficient way. Recently, multiple neural estimators for Monge maps have been developed and applied in diverse unpaired domain translation tasks, e.g. in single…

2021

A sandbox for prediction and integration of DNA, RNA, and proteins in single cells

NeurIPS 2021poster

The last decade has witnessed a technological arms race to encode the molecular states of cells into DNA libraries, turning DNA sequencers into scalable single-cell microscopes. Single-cell measurement of chromatin accessibility (DNA), gene expression (RNA), and proteins has revealed rich cellular d…

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