2 citations · 2 across the 4 of their papers we have counts for
4 papers
Deep Generative Models of Evolution: SNP-level Population Adaptation by Genomic Linkage Incorporation
Julia Siekiera, Christian Schlötterer, Stefan Kramer
The investigation of allele frequency trajectories in populations evolving under controlled environmental pressures has become a popular approach to study evolutionary processes on…
Counterfactual Explanations in Medical Imaging: Exploring SPN-Guided Latent Space Manipulation
Julia Siekiera, Stefan Kramer
Artificial intelligence is increasingly leveraged across various domains to automate decision-making processes that significantly impact human lives. In medical image analysis, dee…
Deep Unsupervised Identification of Selected SNPs between Adapted Populations on Pool-seq Data
Julia Siekiera, Stefan Kramer
The exploration of selected single nucleotide polymorphisms (SNPs) to identify genetic diversity between different sequencing population pools (Pool-seq) is a fundamental task in g…
Ranking Creative Language Characteristics in Small Data Scenarios
Julia Siekiera, Marius Köppel, Edwin Simpson +3
The ability to rank creative natural language provides an important general tool for downstream language understanding and generation. However, current deep ranking models require…