Heinz Koeppl
Heinz Koeppl
Technische Universität Darmstadt, Dept. Electrical Engineering and Dept. Biology
Verified email at - Homepage
Cited by
Cited by
Moment-based inference predicts bimodality in transient gene expression
C Zechner, J Ruess, P Krenn, S Pelet, M Peter, J Lygeros, H Koeppl
Proceedings of the National Academy of Sciences 109 (21), 8340-8345, 2012
Inferring causal molecular networks: empirical assessment through a community-based effort
SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ...
Nature Methods 13 (4), 310-318, 2016
Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings
C Zechner, M Unger, S Pelet, M Peter, H Koeppl
Nature Methods 11 (2), 197-202, 2014
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge
AL Tarca, M Lauria, M Unger, E Bilal, S Boue, K Kumar Dey, J Hoeng, ...
Bioinformatics 29 (22), 2892-2899, 2013
Verification of systems biology research in the age of collaborative competition
P Meyer, LG Alexopoulos, T Bonk, A Califano, CR Cho, A De La Fuente, ...
Nature Biotechnology 29 (9), 811-815, 2011
‘Glocal’robustness analysis and model discrimination for circadian oscillators
M Hafner, H Koeppl, M Hasler, A Wagner
PLoS Computational Biology 5 (10), e1000534, 2009
Attention-based transformers for instance segmentation of cells in microstructures
T Prangemeier, C Reich, H Koeppl
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
Inverse reinforcement learning in swarm systems
A Šošić, WR KhudaBukhsh, AM Zoubir, H Koeppl
16th Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 1413–1421, 2017
Effect of network architecture on synchronization and entrainment properties of the circadian oscillations in the suprachiasmatic nucleus
M Hafner, H Koeppl, D Gonze
PLoS Computational Biology 8 (3), e1002419, 2012
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
K Cui, H Koeppl
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
Lumpability abstractions of rule-based systems
J Feret, T Henzinger, H Koeppl, T Petrov
Theoretical Computer Science 431, 137-164, 2012
Digitally enhanced analog circuits: System aspects
B Murmann, C Vogel, H Koeppl
2008 IEEE International Symposium on Circuits and Systems (ISCAS), 560-563, 2008
Spatial simulations in systems biology: from molecules to cells
M Klann, H Koeppl
International Journal of Molecular Sciences 13 (6), 7798-7827, 2012
A cellular system for spatial signal decoding in chemical gradients
B Hegemann, M Unger, SS Lee, I Stoffel-Studer, J van den Heuvel, ...
Developmental Cell 35 (4), 458-470, 2015
Spatial modeling of vesicle transport and the cytoskeleton: the challenge of hitting the right road
M Klann, H Koeppl, M Reuss
PloS one 7 (1), e29645, 2012
Jump-diffusion approximation of stochastic reaction dynamics: error bounds and algorithms
A Ganguly, D Altintan, H Koeppl
SIAM Multiscale Modeling & Simulation 13 (4), 1390-1419, 2015
Uncoupled analysis of stochastic reaction networks in fluctuating environments
C Zechner, H Koeppl
PLoS Computational Biology 10 (12), e1003942, 2014
Stochastic fragments: A framework for the exact reduction of the stochastic semantics of rule-based models
J Feret, H Koeppl, T Petrov
International Journal of Software and Informatics 7 (4), 527-604, 2013
Cell-free prototyping of AND-logic gates based on heterogeneous RNA activators
FX Lehr, M Hanst, M Vogel, J Kremer, HU Göringer, B Suess, H Koeppl
ACS Synthetic Biology 8 (9), 2163-2173, 2019
Hybrid spatial Gillespie and particle tracking simulation
M Klann, A Ganguly, H Koeppl
Bioinformatics 28 (18), i549-i555, 2012
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