XML based Process Management in Cryo-Biotechnology: The ChameleonLab. - Christopher H. P. Durst; Frank R. Ihmig; Heiko Zimmermann; Matthias Biel; Martin Daffertshofer (XML4BPM@BTW, 2005)

RFID for anonymous biological samples and pseudonyms. - Frank R. Ihmig; Haiko Wick; Karim Hichri; Heiko Zimmermann (RFID-TA, 2011)

Kollaboratives Schreiben gestern, heute und morgen: Nutzen und Grenzen eines Visualisierungs- und Analysemodels aus der digitalen Literaturforschung. - Heiko Zimmermann (DHd, 2016)

Capacitive Sensing for Non-Invasive Breathing and Heart Monitoring in Non-Restrained, Non-Sedated Laboratory Mice. - Carlos González-Sánchez; Juan C. Fraile; Javier Pérez Turiel; Ellen Damm; Jochen G. Schneider; Heiko Zimmermann; Daniel Schmitt 001; Frank R. Ihmig (Sensors, 2016)

Bayesian Functional Optimization. - Ngo Anh Vien; Heiko Zimmermann; Marc Toussaint (AAAI, 2018)

Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. - Danny Drieß; Heiko Zimmermann; Simon Wolfen; Dan Suissa; Daniel F. B. Haeufle; Daniel Hennes; Marc Toussaint; Syn Schmitt (ICRA, 2018)

Amortized Population Gibbs Samplers with Neural Sufficient Statistics. - Hao Wu 020; Heiko Zimmermann; Eli Sennesh; Tuan Anh Le 001; Jan-Willem van de Meent (ICML, 2020)

FocAn: automated 3D analysis of DNA repair foci in image stacks acquired by confocal fluorescence microscopy. - Simon Memmel; Dmitri Sisario; Heiko Zimmermann; Markus Sauer; Vladimir L. Sukhorukov; Cholpon S. Djuzenova; Michael Flentje (BMC Bioinform., 2020)

Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics. - Isabell Wochner; Danny Drieß; Heiko Zimmermann; Daniel F. B. Haeufle; Marc Toussaint; Syn Schmitt (Frontiers Comput. Neurosci., 2020)

Grand Duchy of Luxembourg: a case study of a national master patient index in production since five years. - Raffaella Vaccaroli; Frédéric Markus; Samuel Danhardt; Heiko Zimmermann; François Wisniewski; Pascale Lucas; Hervé Barge (BMC Medical Informatics Decis. Mak., 2020)

Nested Variational Inference. - Heiko Zimmermann; Hao Wu 020; Babak Esmaeili 001; Jan-Willem van de Meent (NeurIPS, 2021)

Learning proposals for probabilistic programs with inference combinators. - Sam Stites; Heiko Zimmermann; Hao Wu 020; Eli Sennesh; Jan-Willem van de Meent (UAI, 2021)

Probabilistic program inference in network-based epidemiological simulations. - Niklas Smedemark-Margulies; Robin Walters 001; Heiko Zimmermann; Lucas Laird; Christian van der Loo; Neela Kaushik; Rajmonda Caceres; Jan-Willem van de Meent (PLoS Comput. Biol., 2022)

Topological Obstructions and How to Avoid Them. - Babak Esmaeili 001; Robin Walters 001; Heiko Zimmermann; Jan-Willem van de Meent (NeurIPS, 2023)

A Variational Perspective on Generative Flow Networks. - Heiko Zimmermann; Fredrik Lindsten; Jan-Willem van de Meent; Christian A. Naesseth (Trans. Mach. Learn. Res., 2023)

VISA: Variational Inference with Sequential Sample-Average Approximations. - Heiko Zimmermann; Christian Andersson Naesseth; Jan-Willem van de Meent (NeurIPS, 2024)

Controlled Generation with Equivariant Variational Flow Matching. - Floor Eijkelboom; Heiko Zimmermann; Sharvaree Vadgama; Erik J. Bekkers; Max Welling; Christian A. Naesseth; Jan-Willem van de Meent (CoRR, 2025)