3 citations · 3 across the 4 of their papers we have counts for
4 papers
BLINK: Behavioral Latent Modeling of NK Cell Cytotoxicity
Iman Nematollahi, Jose Francisco Villena-Ossa, Alina Moter +6
Machine learning models of cellular interaction dynamics hold promise for understanding cell behavior. Natural killer (NK) cell cytotoxicity is a prominent example of such interact…
A statistical perspective on transformers for small longitudinal cohort data
Kiana Farhadyar, Maren Hackenberg, Kira Ahrens +10
Modeling of longitudinal cohort data typically involves complex temporal dependencies between multiple variables. There, the transformer architecture, which has been highly success…
Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups
Kiana Farhadyar, Federico Bonofiglio, Maren Hackenberg +2
In settings requiring synthetic data generation based on a clinical cohort, e.g., due to data protection regulations, heterogeneity across individuals might be a nuisance that we n…
Adapting deep generative approaches for getting synthetic data with realistic marginal distributions
Kiana Farhadyar, Federico Bonofiglio, Daniela Zoeller +1
Synthetic data generation is of great interest in diverse applications, such as for privacy protection. Deep generative models, such as variational autoencoders (VAEs), are a popul…