Exploring generative deep learning for omics data using log-linear models. - Moritz Hess; Maren Hackenberg; Harald Binder (Bioinform., 2020)

Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? - Maren Hackenberg; Philipp Harms; Thorsten Schmidt; Harald Binder (CoRR, 2020)

Using Differentiable Programming for Flexible Statistical Modeling. - Maren Hackenberg; Marlon Grodd; Clemens Kreutz; Martina Fischer; Janina Esins; Linus Grabenhenrich; Christian Karagiannidis; Harald Binder (CoRR, 2020)

The JuliaConnectoR: A Functionally-Oriented Interface for Integrating Julia in R. - Stefan Lenz; Maren Hackenberg; Harald Binder (J. Stat. Softw., 2022)

A statistical approach to latent dynamic modeling with differential equations. - Maren Hackenberg; Astrid Pechmann; Clemens Kreutz; Janbernd Kirschner; Harald Binder (CoRR, 2023)

Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry. - Maren Hackenberg; Michelle Pfaffenlehner; Max Behrens; Astrid Pechmann; Janbernd Kirschner; Harald Binder (CoRR, 2023)

Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups. - Kiana Farhadyar; Federico Bonofiglio; Maren Hackenberg; Daniela Zöller; Harald Binder (CoRR, 2023)

Evaluating discrepancies in dimensionality reduction for time-series single-cell RNA-sequencing data. - Maren Hackenberg; Laia Canal Guitart; Rolf Backofen; Harald Binder (Briefings Bioinform., 2025)

Small Data Explainer - The impact of small data methods in everyday life. - Maren Hackenberg; Sophia G. Connor; Fabian Kabus; June Brawner; Ella Markham; Mahi Hardalupas; Areeq Chowdhury; Rolf Backofen; Anna Köttgen; Angelika Rohde; Nadine Felizitas Binder; Harald Binder (CoRR, 2025)