Heiko Zimmermann

24 papers A* 7A 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Controlled Generation with Equivariant Variational Flow Matching. ICML Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J. Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem van de Meent
2025	J	`jnl`	Controlled Generation with Equivariant Variational Flow Matching. CoRR Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J. Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem van de Meent
2024	A*	`conf`	VISA: Variational Inference with Sequential Sample-Average Approximations. NeurIPS Heiko Zimmermann, Christian Andersson Naesseth, Jan-Willem van de Meent
2024	J	`jnl`	VISA: Variational Inference with Sequential Sample-Average Approximations. CoRR Heiko Zimmermann, Christian A. Naesseth, Jan-Willem van de Meent
2023	J	`jnl`	A Variational Perspective on Generative Flow Networks. Trans. Mach. Learn. Res. Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
2023	A*	`conf`	Topological Obstructions and How to Avoid Them. NeurIPS Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
2023	J	`jnl`	Topological Obstructions and How to Avoid Them. CoRR Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
2022	J	`jnl`	A Variational Perspective on Generative Flow Networks. CoRR Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
2022	J	`jnl`	Probabilistic program inference in network-based epidemiological simulations. PLoS Comput. Biol. Niklas Smedemark-Margulies, Robin Walters, Heiko Zimmermann, Lucas Laird, Christian van der Loo, Neela Kaushik, Rajmonda Caceres, Jan-Willem van de Meent
2021	J	`jnl`	Learning Proposals for Probabilistic Programs with Inference Combinators. CoRR Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
2021	A	`conf`	Learning proposals for probabilistic programs with inference combinators. UAI Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
2021	A*	`conf`	Nested Variational Inference. NeurIPS Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent
2021	J	`jnl`	Nested Variational Inference. CoRR Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent
2020	A*	`conf`	Amortized Population Gibbs Samplers with Neural Sufficient Statistics. ICML Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
2020	J	`jnl`	FocAn: automated 3D analysis of DNA repair foci in image stacks acquired by confocal fluorescence microscopy. BMC Bioinform. Simon Memmel, Dmitri Sisario, Heiko Zimmermann, Markus Sauer, Vladimir L. Sukhorukov, Cholpon S. Djuzenova, Michael Flentje
2020	J	`jnl`	Grand Duchy of Luxembourg: a case study of a national master patient index in production since five years. BMC Medical Informatics Decis. Mak. Raffaella Vaccaroli, Frédéric Markus, Samuel Danhardt, Heiko Zimmermann, François Wisniewski, Pascale Lucas, Hervé Barge
2020	J	`jnl`	Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics. Frontiers Comput. Neurosci. Isabell Wochner, Danny Drieß, Heiko Zimmermann, Daniel F. B. Haeufle, Marc Toussaint, Syn Schmitt
2019	J	`jnl`	Amortized Population Gibbs Samplers with Neural Sufficient Statistics. CoRR Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
2018	A*	`conf`	Bayesian Functional Optimization. AAAI Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint
2018	A*	`conf`	Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. ICRA Danny Drieß, Heiko Zimmermann, Simon Wolfen, Dan Suissa, Daniel F. B. Haeufle, Daniel Hennes, Marc Toussaint, Syn Schmitt
2016	J	`jnl`	Capacitive Sensing for Non-Invasive Breathing and Heart Monitoring in Non-Restrained, Non-Sedated Laboratory Mice. Sensors Carlos González-Sánchez, Juan C. Fraile, Javier Pérez Turiel, Ellen Damm, Jochen G. Schneider, Heiko Zimmermann, Daniel Schmitt, Frank R. Ihmig
2016	—	`conf`	Kollaboratives Schreiben gestern, heute und morgen: Nutzen und Grenzen eines Visualisierungs- und Analysemodels aus der digitalen Literaturforschung. DHd Heiko Zimmermann
2011	—	`conf`	RFID for anonymous biological samples and pseudonyms. RFID-TA Frank R. Ihmig, Haiko Wick, Karim Hichri, Heiko Zimmermann
2005	—	`conf`	XML based Process Management in Cryo-Biotechnology: The ChameleonLab. XML4BPM@BTW Christopher H. P. Durst, Frank R. Ihmig, Heiko Zimmermann, Matthias Biel, Martin Daffertshofer