A

Azem, S. ; Tahir, A. ; Koeppl, H. (2022)
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms.
19th Annual Consumer Communications & Networking Conference. virtuell Conference (08.01.2022-11.01.2022)
doi: 10.1109/CCNC49033.2022.9700712
Konferenzveröffentlichung, Bibliographie

Alt, Bastian (2022)
Model-Based Bayesian Inference, Learning, and Decision-Making with Applications in Communication Systems.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00020515
Dissertation, Erstveröffentlichung, Verlagsversion

Alkhalili, Yassin ; Weil, Jannis ; Tahir, Anam ; Meuser, Tobias ; Koldehofe, Boris ; Mauthe, Andreas ; Koeppl, Heinz ; Steinmetz, Ralf (2021)
Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming.
In: Electronic Communications of the EASST, 80
doi: 10.14279/tuj.eceasst.80.1167
Artikel, Bibliographie

Alt, B. ; Schultheis, M. ; Koeppl, H. (2020)
POMDPs in Continuous Time and Discrete Spaces.
34th Conference on Neural Information Processing Systems. virtual Conference (06.12.2020-12.12.2020)
Konferenzveröffentlichung, Bibliographie

Altintan, Derya ; Koeppl, Heinz (2019)
Hybrid master equation for jump-diffusion approximation of biomolecular reaction networks.
In: BIT Numerical Mathematics, (2)
doi: 10.1007/s10543-019-00781-4
Artikel, Bibliographie

Alt, B. ; Šošić, A. ; Koeppl, H. (2019)
Correlation Priors for Reinforcement Learning.
33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Kanada (09.12.2019-13.12.2019)
Konferenzveröffentlichung, Bibliographie

Alt, Bastian ; Ballard, Trevor ; Steinmetz, Ralf ; Koeppl, Heinz ; Rizk, Amr (2019)
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming.
IEEE Conference on Computer Communications (INFOCOM 2019). Paris, France (29.04.2019-02.05.2019)
doi: 10.1109/INFOCOM.2019.8737418
Konferenzveröffentlichung, Bibliographie

Alt, Bastian ; Weckesser, Markus ; Becker, Christian ; Hollick, Matthias ; Kar, Sounak ; Klose, Robin ; Kluge, Roland ; Koeppl, Heinz ; KhudaBukhsh, Wasiur R. ; Luthra, Manisha ; Mousavi, Mahdi ; Mühlhäuser, Max ; Pfannemüller, Martin ; Rizk, Amr ; Schürr, Andy ; Steinmetz, Ralf ; Klein, Anja (2019)
Transitions: A Protocol-Independent View of the Future Internet.
In: Proceedings of the IEEE, 107 (4)
doi: 10.1109/JPROC.2019.2895964
Artikel, Bibliographie

Alt, Bastian ; Messer, Michael ; Roeper, Jochen ; Schneider, Gaby ; Koeppl, Heinz (2018)
Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains.
2018 IEEE Statistical Signal Processing Workshop (SSP 2018). Freiburg im Breisgau, Germany (10.06.2018-13.06.2018)
doi: 10.1109/SSP.2018.8450787
Konferenzveröffentlichung, Bibliographie

Al-Sayed, S. ; Koeppl, H. (2018)
Network Reconstruction from Time-Course Perturbation Data Using Multivariate Gaussian Processes.
IEEE International Workshop on Machine Learning for Signal Processing. Aalborg, Denmark (17.09.2018-20.09.2018)
doi: 10.1109/MLSP.2018.8517044
Konferenzveröffentlichung, Bibliographie

Al-Sayed, S. ; Plata-Chaves, J. ; Muma, M. ; Moonen, M. ; Zoubir, A. M. (2018)
Node-Specific Diffusion LMS-Based Distributed Detection Over Adaptive Networks.
In: IEEE Transactions on Signal Processing, 66 (3)
Artikel, Bibliographie

Al-Sayed, S. ; Zoubir, A. M. ; Sayed, A. H. (2017)
Robust Distributed Estimation by Networked Agents.
In: IEEE Transactions on Signal Processing, 65 (15)
doi: 10.1109/TSP.2017.2703664
Artikel, Bibliographie

Altintan, D. ; Ganguly, A. ; Koeppl, H. (2015)
Error bound and simulation algorithm for piecewise deterministic approximations of stochastic reaction systems.
American Control Conference (ACC), 2015. Chicago (01.07.2015-03.07.2015)
Konferenzveröffentlichung, Bibliographie

Altintan, D. ; Ganguly, A. ; Koeppl, H. (2015)
Jump-Diffusion Approximation of Stochastic Reaction Dynamics: Error bounds and Algorithms.
In: SIAM Multiscale Modeling and Simulation, 13 (4)
Artikel, Bibliographie

August, E. ; Koeppl, H. (2012)
Computing enclosures for uncertain biochemical systems.
In: IET Systems Biology, 6 (6)
Artikel, Bibliographie

August, E. ; Craciun, G. ; Koeppl, H. (2012)
Finding invariant sets for biological systems using monomial domination.
51st IEEE Conference on Decision and Control (CDC), 2012. Maui, HI, USA (10.12.2012-13.12.2012)
Konferenzveröffentlichung, Bibliographie

August, E. ; Lu, J. ; Koeppl, H. (2012)
Trajectory enclosures for systems with uncertainties in initial conditions and parameter values.
2012 American Control Conference. Fairmont Queen Elizabeth, Montreal, Canada (27.06.2012-29.06.2012)
Konferenzveröffentlichung, Bibliographie

August, E. ; Wang, Y. ; Doyle, F. J. ; Lu, J. ; Koeppl, H. (2011)
Computationally implementable sufficient conditions for the synchronisation of coupled dynamical systems with time delays in the coupling.
Proceedings of the 2011 American Control Conference.
Konferenzveröffentlichung, Bibliographie

B

Bronstein, Leo (2020)
Approximation and Model Reduction for the Stochastic Kinetics of Reaction Networks.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00013433
Dissertation, Erstveröffentlichung

Bronstein, L. ; Koeppl, H. (2018)
Marginal process framework: A model reduction tool for Markov jump processes.
In: Physical Review E, 97 (6)
doi: 10.1103/PhysRevE.97.062147
Artikel, Bibliographie

Bronstein, L. ; Koeppl, H. (2018)
A variational approach to moment-closure approximations for the kinetics of biomolecular reaction networks.
In: The Journal of Chemical Physics, 148 (1)
doi: 10.1063/1.5003892
Artikel, Bibliographie

Benenson, Yaakov ; Dalchau, Neil ; Koeppl, Heinz ; Maler, Oded (2018)
Formal Methods for the Synthesis of Biomolecular Circuits.
In: Dagstuhl Reports, 8 (2)
doi: 10.4230/DagRep.8.2.88
Artikel, Bibliographie

Bronstein, L. ; Diemer, J. ; Koeppl, H. ; Schneider, C. ; Suess, Beatrix (2017)
ROC'n'Ribo: Characterizing a riboswitching expression system by modeling single-cell data.
In: ACS Synthetic Biology, (7)
Artikel, Bibliographie

Bronstein, L. ; Koeppl, H. (2016)
Scalable inference using PMCMC and parallel tempering for high-throughput measurements of biomolecular reaction networks.
In: 2016 IEEE 55th Conference on Decision and Control (CDC)
doi: 10.1109/CDC.2016.7798361
Buchkapitel, Bibliographie

Bronstein, L. ; Koeppl, H. (2016)
A Diagram Technique for cumulant equations in biomolecular reaction networks with mass-action kinetics.
In: 2016 IEEE 55th Conference on Decision and Control (CDC)
doi: 10.1109/CDC.2016.7799170
Buchkapitel, Bibliographie

Bronstein, L. ; Zechner, C. ; Koeppl, H. (2015)
Bayesian inference of reaction kinetics from single-cell recordings across a heterogeneous cell population.
In: ScienceDirect - Methods, 85
Artikel, Bibliographie

C

Cui, Kai ; Hauck, Sascha ; Fabian, Christian ; Koeppl, Heinz (2024)
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria (07.05.2024 - 11.05.2024)
Konferenzveröffentlichung, Bibliographie

Cui, Kai ; Dayanikli, Gökce ; Laurière, Mathieu ; Geist, Matthieu ; Pietquin, Oliver ; Koeppl, Heinz (2024)
Learning Discrete-Time Major-Minor Mean Field Games.
38th AAAI Conference on Artificial Intelligence. Vancouver, Canada (20.02.2024 - 27.02.2024)
doi: 10.1609/aaai.v38i9.28818
Konferenzveröffentlichung, Bibliographie

Cui, Kai ; Baumgärtner, Lars ; Yilmaz, Mustafa Burak ; Li, Mengguang ; Fabian, Christian ; Becker, Benjamin ; Xiang, Lin ; Bauer, Maximilian ; Koeppl, Heinz (2023)
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.
48th Conference on Local Computer Networks. Daytona Beach, USA (02.10.2023 - 05.10.2023)
doi: 10.1109/LCN58197.2023.10223388
Konferenzveröffentlichung, Bibliographie

Cui, K. ; Li, M. ; Fabian, C. ; Koeppl, H. (2023)
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control.
40th IEEE International Conference on Robotics and Automation (ICRA2023). London, United Kingdom (29.05.2023 - 02.06.2023)
doi: 10.1109/ICRA48891.2023.10161498
Konferenzveröffentlichung, Bibliographie

Cetin, Ozdemir ; Chen, Mingzhi ; Ziegler, Paul ; Wild, Peter ; Koeppl, Heinz (2022)
Deep learning-based restaining of histopathological images.
International Conference on Bioinformatics and Biomedicine (BIBM 2022). Las Vegas, USA (06.-08.12.2022)
doi: 10.1109/BIBM55620.2022.9994934
Konferenzveröffentlichung, Bibliographie

Cui, Kai ; KhudaBukhsh, Wasiur R. ; Koeppl, Heinz (2022)
Hypergraphon mean field games.
In: Chaos: An Interdisciplinary Journal of Nonlinear Science, 32 (11)
doi: 10.1063/5.0093758
Artikel, Bibliographie

Cui, K. ; Koeppl, H. (2022)
Learning Graphon Mean Field Games and Approximate Nash Equilibria.
10th International Conference on Learning Representations (ICLR 2022). virtual Conference (25.04.2022-29.04.2022)
Konferenzveröffentlichung, Bibliographie

Cui, Kai ; KhudaBukhsh, Wasiur R. ; Koeppl, Heinz (2022)
Motif-based mean-field approximation of interacting particles on clustered networks.
In: Phys. Rev. E, 105
doi: 10.1103/PhysRevE.105.L042301
Artikel, Bibliographie

Cui, K. ; Yilmaz, M. B. ; Tahir, A. ; Klein, A. ; Koeppl, H. (2022)
Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control.
Rio de Janeiro, Brazil
doi: 10.1109/GLOBECOM48099.2022.10001412
Konferenzveröffentlichung, Bibliographie

Cui, Kai ; Koeppl, Heinz (2021)
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning.
24th International Conference on Artificial Intelligence and Statistics. Virtual Conference (13.04.2021-15.04.2021)
Konferenzveröffentlichung, Bibliographie

Cui, K. ; Tahir, A. ; Sinzger, M. ; Koeppl, H. (2021)
Discrete-Time Mean Field Control with Environment States.
60th Conference on Decision and Control (CDC2021). virtual Conference (13.12.2021-15.12.2021)
Konferenzveröffentlichung, Bibliographie

Camporesi, F. ; Feret, J. ; Koeppl, H. ; Petrov, T. (2010)
Combining Model Reductions.
In: Electronic Notes in Theoretical Computer Science, 265
doi: 10.1016/j.entcs.2010.08.006
Artikel, Bibliographie

D

Danos, Vincent ; Koeppl, Heinz (2016)
Self-assembly and Self-organization in Computer Science and Biology.
In: Dagstuhl Reports, 5 (9)
doi: 10.4230/DagRep.5.9.125
Artikel, Bibliographie

Danos, V. ; Koeppl, H. ; Wilson-Kanamori, J. (2011)
Cooperative assembly systems.
17th International Conference on DNA-Based Computers (DNA 2011). Pasadena, USA (19.09.2011-23.09.2011)
doi: 10.1007/978-3-642-23638-9_1
Konferenzveröffentlichung, Bibliographie

E

Eich, Yannick ; Alt, Bastian ; Koeppl, Heinz (2024)
Approximate Control for Continuous-Time POMDPs.
27th International Conference on Artificial Intelligence and Statistics. Valencia, Spain (02.05.2024 - 04.05.2024)
Konferenzveröffentlichung, Bibliographie

Engelmann, Nicolai ; Schwarz, Tobias ; Kubaczka, Erik ; Hochberger, Christian ; Koeppl, Heinz (2023)
Context-Aware Technology Mapping in Genetic Design Automation.
In: ACS Synthetic Biology, 12 (2)
doi: 10.1021/acssynbio.2c00361
Artikel, Bibliographie

Engelmann, Nicolai ; Koeppl, Heinz (2022)
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains.
36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, USA (28.11.-09.12.2022)
Konferenzveröffentlichung, Bibliographie

Engelmann, N. ; Linzner, D. ; Koeppl, H. (2020)
Continuous-Time Bayesian Networks with Clocks.
International Conference on Machine Learning 2020. virtual Conference (12.07.2019-18.07.2019)
Konferenzveröffentlichung, Bibliographie

F

Fabian, Christian ; Cui, Kai ; Koeppl, Heinz (2024)
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria (07.05.2024 - 11.05.2024)
Konferenzveröffentlichung, Bibliographie

Fabian, C. ; Cui, K. ; Koeppl, H. (2023)
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons.
In: IEEE Control Systems Letters, 7
doi: 10.1109/LCSYS.2022.3227453
Artikel, Bibliographie

Fabian, Christian ; Cui, Kai ; Koeppl, Heinz
Hrsg.: Ruiz, Francisco ; Dy, Jennifer ; van de Meent, Jan-Willem (2023)
Learning Sparse Graphon Mean Field Games.
26th International Conference on Artificial Intelligence and Statistics. Valencia, Spain (25.04.2023 - 27.04.2023)
Konferenzveröffentlichung, Bibliographie

Falk, J. ; Bronstein, L. ; Hanst, M. ; Drossel, B. ; Koeppl, H. (2019)
Context in Synthetic Biology: Memory Effects of Environments with Mono-molecular Reactions.
In: The Journal of Chemical Physics, 150 (2)
doi: 10.1063/1.5053816
Artikel, Bibliographie

Feret, J. ; Koeppl, H. ; Petrov, T. (2013)
Stochastic fragments: A framework for the exact reduction of the stochastic semantics of rule-based models.
In: International Journal of Software and Informatics, 7 (4)
Artikel, Bibliographie

Feret, J. ; Henzinger, T. ; Koeppl, H. ; Petrov, T. (2012)
Lumpability Abstractions of Rule-based Systems.
In: Journal of Theoretical Comuter Science, 431
Artikel, Bibliographie

Falk, M. ; Ott, M. ; Ertl, T. ; Klann, M. ; Koeppl, H. (2011)
Parallelized Agent-based Simulation on CPU and Graphics Hardware for Spatial and Stochastic Models in Biology Categories and Subject Descriptors.
Konferenzveröffentlichung, Bibliographie

G

Ganguly, A. ; Altintan, D. ; Koeppl, H. (2016)
Efficient Simulation of Multiscale Reaction.
In: Proceedings of the American Control Conference 2016, Boston, MA, July 6-8, 2016
doi: 10.1109/ACC.2016.7526623
Buchkapitel, Bibliographie

Geiger, B. C. ; Petrov, T. ; Kubin, G. ; Koeppl, H. (2015)
Optimal Kullback-Leibler Aggregation via Information Bottleneck.
In: IEEE Transactions on Automatic Control, 60 (4)
Artikel, Bibliographie

Ganguly, A. ; Petrov, T. ; Koeppl, H. (2013)
Markov chain aggregation and its applications to combinatorial reaction networks.
In: Journal of mathematical biology, 69 (3)
Artikel, Bibliographie

H

Hüttenrauch, M. ; Šošić, A. ; Neumann, G. (2019)
Deep Reinforcement Learning for Swarm Systems.
In: Journal of Machine Learning Research, 20 (54)
Artikel, Bibliographie

Hofmann, Anja ; Falk, Johannes ; Prangemeier, Tim ; Happel, Dominic ; Köber, Adrian ; Christmann, Andreas ; Koeppl, Heinz ; Kolmar, Harald (2018)
A tightly regulated and adjustable CRISPR-dCas9 based AND gate in yeast.
In: Nucleic Acids Research, 47 (1)
doi: 10.1093/nar/gky1191
Artikel, Bibliographie

Hill, S. M. ; Heiser, L. M. ; Cokalaer, T. ; Unger, M. ; Nesser, N. K. ; Carlin, D. E. ; Zhang, Y. ; Sokolov, A. ; Paull, E. O. ; Wong, C. K. ; Graim, K. ; Bivol, A. ; Wang, H. ; Zhu, F. ; Afsari, B. ; Danilova, L. V. ; Favorov, A. V. ; Lee, W. S. ; Taylor, D. ; Hu, C. W. ; Long, B. L. ; Noren, D. P. ; Bisberg, A. J. ; Mills, G. B. ; Gray, J. W. ; Kellen, M. ; Norman, T. ; Friend, S. ; Qutub, A. A. ; Fertig, E. J. ; Guan, Y. ; Song, M. ; Stuart, J. M. ; Spellman, P. T. ; Koeppl, H. ; Stolovitzky, G. ; Saez-Rodriguez, J. ; Mukherjee, S. (2016)
Interferring causal molecular networks: empirical assessment through a community-based effort.
In: Nature methods, 13 (4)
Artikel, Bibliographie

Huang, L. ; Hansen, A. S. ; Pauleve, L. ; Unger, M. ; Zechner, C. ; Koeppl, H. (2016)
Reconstructing dynamic molecular states from single-cell time series.
In: Journal of The Royal Society Interface, 13 (122)
doi: 10.1098/rsif.2016.0533
Artikel, Bibliographie

Hegemann, B. ; Unger, M. ; Lee, S. S. ; Stoffel-Studer, I. ; Heuvel, J. van den ; Pelet, S. ; Koeppl, H. ; Peter, M. (2015)
A Cellular System for Spatial Signal Decoding in Chemical Gradients.
In: Developmental Cell, 35 (4)
Artikel, Bibliographie

Huang, L. ; Hjalmarsson, H. ; Koeppl, H. (2015)
Almost sure stability and stabilization of discrete-time stochastic systems.
In: Systems & Control Letters, 82
Artikel, Bibliographie

Heras Ciechomski, P. de ; Klann, M. ; Mange, R. ; Koeppl, H. (2013)
From biochemical reaction networks to 3D dynamics in the cell: The ZigCell3D modeling, simulation and visualisation framework.
2013 IEEE Symposium on Biological Data Visualization (BioVis). Atlanta, USA (13.10.2013-14.10.2013)
doi: 10.1109/BioVis.2013.6664345
Konferenzveröffentlichung, Bibliographie

Hafner, M. ; Koeppl, H. ; Gonze, D. (2012)
Effect of network architecture on synchronization and entrainment properties of the circadian oscillations in the suprachiasmatic nucleus.
In: PLoS computational biology, 8 (3)
Artikel, Bibliographie

Hiroi, N. ; Klann, M. ; Iba, K. ; Heras Ciechomski, P. de ; Yamashita, S. ; Tabira, A. ; Okuhara, T. ; Kubojima, T. ; Okada, Y. ; Oka, K. ; Mange, R. ; Unger, M. ; Funahashi, A. ; Koeppl, H. (2012)
From microscopy data to in silico environments for in vivo-oriented simulations.
In: EURASIP Journal on Bioinformatics and Systems Biology, 2012 (1)
doi: 10.1186/1687-4153-2012-7
Artikel, Bibliographie

Hafner, M. ; Lu, J. ; Petrov, T. ; Koeppl, H. (2011)
Rational design of robust biomolecular circuits: From specification to parameters.
In: Analysis and Design of Biomolecular Circuits
Buchkapitel, Bibliographie

Hafner, M. ; Koeppl, H. (2011)
Stochastic Simulations in Systems Biology.
In: Handbook of Research on Computational Science and Engineering: Theory and Practice
Buchkapitel, Bibliographie

Hafner, M. ; Koeppl, H. ; Hasler, M. ; Wagner, A. (2009)
'Glocal' robustness analysis and model discrimination for circadian oscillators.
In: PLoS Computational Biology, 5 (10)
doi: 10.1371/journal.pcbi.1000534
Artikel, Bibliographie

Hafner, M. ; Koeppl, H. ; Wagner, A. (2009)
Robustness and evolution in oscillatory systems with feedback loops.
Proc. of the Third IEEE International Conference on Foundations of Systems Biology in Engineering (FOSBE).
Konferenzveröffentlichung, Bibliographie

Hafner, M. ; Danos, V. ; Koeppl, H. (2009)
Rule-based modeling for protein-protein interaction networks - the Cyanobacterial circadian clock as a case studyproceedings.
Proceedings of the International Workshop on Computational Systems Biology (WCSB).
Konferenzveröffentlichung, Bibliographie

Huang, C.-H. ; Koeppl, H. (2007)
A Bio-inspired Computer Fovea Model based on hexagonal-type cellular neural networks.
In: IEEE Transactions on circuits and systems-I : regular papers, 54 (1)
Artikel, Bibliographie

I

Ion, Ion Gabriel ; Wildner, C. ; Loukrezis, D. ; Koeppl, H. ; De Gersem, H. (2021)
Tensor-train approximation of the chemical master equation and its application for parameter inference.
In: The Journal of Chemical Physics, 155 (3)
doi: 10.1063/5.0045521
Artikel, Bibliographie

K

Köhs, L. ; Alt, B. ; Koeppl, H. (2022)
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems.
39th International Conference on Machine Learning. Baltimore, USA (17.07.2022-23.07.2022)
Konferenzveröffentlichung, Bibliographie

Köhs, Lukas ; Kukovetz, Kerri ; Rauh, Oliver ; Koeppl, Heinz (2022)
Nonparametric Bayesian inference for meta-stable conformational dynamics.
In: Physical Biology, 19 (5)
doi: 10.1088/1478-3975/ac885e
Artikel, Bibliographie

Köhs, L. ; Alt, B. ; Koeppl, H. (2021)
Variational Inference for Continuous-Time Switching Dynamical Systems.
35th Conference on Neural Information Processing Systems. virtual Conference (06.12.2021-14.12.2021)
Konferenzveröffentlichung, Bibliographie

Kruk, N. ; Carrillo, J.A. ; Koeppl, H. (2021)
A Finite Volume Method for Continuum Limit Equations of Nonlocally Interacting Active Chiral Particles.
In: Journal of Computational Physics, 440
doi: 10.1016/j.jcp.2021.110275
Artikel, Bibliographie

Kuebert, T. ; Puder, H. ; Koeppl, H. (2021)
Improving Daily Routine Recognition in Hearing Aids Using Sequence Learning.
In: IEEE Access, 9
doi: 10.1109/ACCESS.2021.3092763
Artikel, Bibliographie

Kuebert, T. ; Puder, H. ; Koeppl, H. (2021)
Daily Routine Recognition for Hearing Aid Personalization.
In: SN Computer Science, 2 (3)
doi: 10.1007/s42979-021-00538-3
Artikel, Bibliographie

Kruk, Nikita (2020)
Collective Dynamics of Large Scale Multiagent Systems with Nonlocal Interactions.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00017368
Dissertation, Erstveröffentlichung, Verlagsversion

Kruk, N. ; Maistrenko, Y. ; Koeppl, H. (2020)
Solitary states in the mean-field limit.
In: Chaos: An Interdisciplinary Journal of Nonlinear Science, 30 (11)
doi: 10.1063/5.0029585
Artikel, Bibliographie

Kar, Sounak ; Rehrmann, Robin ; Mukhopadhyay, Arpan ; Alt, Bastian ; Ciucu, Florin ; Koeppl, Heinz ; Binnig, Carsten ; Rizk, Amr (2020)
On the Throughput Optimization in Large-Scale Batch-Processing Systems.
38th International Symposium on Computer Performance, Modeling, Measurements and Evaluation (PERF 2020). virtual Conference (02.11.2020-06.11.2020)
Konferenzveröffentlichung, Bibliographie

Kruk, N. ; Carrillo, J.A. ; Koeppl, H. (2020)
Traveling bands, clouds and vortices of chiral active matter.
In: Physical Review E, 102 (2)
doi: 10.1103/PhysRevE.102.022604
Artikel, Bibliographie

KhudaBukhsh, W. R. ; Kar, S. ; Alt, B. ; Rizk, A. ; Koeppl, H. (2020)
Generalized Cost-Based Job Scheduling in Very Large Heterogenous Cluster Systems.
In: IEEE Transactions on Parallel and Distributed Systems (TPDS), 31 (11)
doi: 10.1109/TPDS.2020.2997771
Artikel, Bibliographie

Kumar, S. ; Lun, X.-K. ; Bodenmiller, B. ; Rodriguez Martinez, M. ; Koeppl, H. (2020)
Stabilized Reconstruction of Signaling Networks from Single-Cell Cue-Response Data.
In: Scientific reports, 10
doi: 10.1038/s41598-019-56444-5
Artikel, Bibliographie

Kar, Sounak ; Rehrmann, Robin ; Mukhopadhyay, Arpan ; Alt, Bastian ; Ciucu, Florin ; Koeppl, Heinz ; Binnig, Carsten ; Rizk, Amr (2020)
On the Throughput Optimization in Large-scale Batch-processing Systems.
In: Performance Evaluation, 144
doi: 10.1016/j.peva.2020.102142
Artikel, Bibliographie

Kuebert, Thomas ; Puder, Henning ; Koeppl, Heinz (2019)
Daily Routine Recognition with Visual Interactive Labeling by Fusing Acceleration and Audio Signals.
19th International Symposium on Signal Processing and Information Technology. Ajman, United Arab Emirates (10.12.2019-12.12.2019)
doi: 10.1109/ISSPIT47144.2019.9001791
Konferenzveröffentlichung, Bibliographie

KhudaBukhsh, Wasiur R. ; Auddy, Arnab ; Disser, Yann ; Koeppl, Heinz (2019)
Approximate Lumpability for Markovian Agent-based Models Using Local Symmetries.
In: Jounal of Applied Probability, 56 (3)
doi: 10.1017/jpr.2019.44
Artikel, Bibliographie

KhudaBukhsh, W. R. ; Kar, S. ; Koeppl, H. ; Rizk, A. (2019)
Provisioning and Performance Evaluation of Parallel Systems with Output Synchronization.
In: ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 4 (1)
doi: 10.1145/3300142
Artikel, Bibliographie

Kang, H.-W. ; KhudaBukhsh, W. R. ; Koeppl, H. ; Rempala, G. A. (2019)
Quasi-steady-state approximations derived from the stochastic model of enzyme kinetics.
In: Bulletin of Mathematical Biology, 81
doi: 10.1007/s11538-019-00574-4
Artikel, Bibliographie

KhudaBukhsh, Wasiur R. ; Rückert, Julius ; Wulfheide, Julian ; Hausheer, David ; Koeppl, Heinz (2018)
A Comprehensive Analysis of Swarming-based Live Streaming to Leverage Client Heterogeneity.
doi: 10.48550/arXiv.1812.11439
Report, Bibliographie

Kruk, N. ; Koeppl, H. ; Maistrenko, Y. (2018)
Self-propelled Chimeras.
In: Physical Review E, 98 (3)
doi: 10.1103/PhysRevE.98.032219
Artikel, Bibliographie

KhudaBukhsh, Wasiur R. ; Alt, Bastian ; Kar, Sounak ; Rizk, Amr ; Koeppl, Heinz (2018)
Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies.
INFOCOM 2018 - IEEE Conference on Computer Communications. Honolulu, USA (16.04.2018-19.04.2018)
doi: 10.1109/INFOCOM.2018.8486310
Konferenzveröffentlichung, Bibliographie

KhudaBukhsh, Wasiur Rahman (2018)
Model reductions for queueing and agent-based systems with applications in communication networks.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung

KhudaBukhsh, W. R. ; Rizk, A. ; Froemmgen, A. ; Koeppl, H. (2017)
Optimizing Stochastic Scheduling in Fork-Join Queueing Models: Bounds and Applications.
In: Technical Program of IEEE INFOCOM 2017
doi: 10.1109/INFOCOM.2017.8057013
Artikel, Bibliographie

KhudaBukhsh, Wasiur R. ; Rueckert, Julius ; Wulfheide, Julian ; Hausheer, David ; Koeppl, Heinz (2016)
Analysing and Leveraging Client Heterogeneity in Swarming-based Live Streaming.
2016 IFIP Networking Conference (IFIP Networking) and Workshops. Vienna, Austria (17.05.2016-19.05.2016)
doi: 10.1109/IFIPNetworking.2016.7497234
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Zechner, C. (2014)
Uncoupled analysis of stochastic reaction networks in fluctuating environments.
In: PLOS Computational Biology, 10 (12)
Artikel, Bibliographie

Koeppl, H. ; Hafner, M. ; Lu, J. (2014)
From Specification to Parameters: A Linearization Approach.
In: A Systems Theoretic Approach to Systems and Synthetic Biology II: Analysis and Design of Cellular Systems
Buchkapitel, Bibliographie

Klann, M. ; Koeppl, H. (2013)
Reaction schemes, escape times and geminate recombinations in particle-based spatial simulations of biochemical reactions.
In: Physical biology, 10 (4)
Artikel, Bibliographie

Klann, M. ; Paulevé, L. ; Petrov, T. ; Koeppl, H. (2013)
Coarse-Grained Brownian Dynamics Simulation of Rule-Based Models.
11th International Conference on Computational Methods in Systems Biology (CMSB 2013).
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Petrov, T. (2013)
Approximate model reductions for combinatorial reaction systems; European Control Conferenc (ECC 2013).
European Control Conferenc (ECC 2013). Zuerich (17.07.2013-19.07.2013)
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Hafner, M. ; Lu, J. (2013)
Mapping behavioral specifications to model parameters in synthetic biology.
In: BMC Bioinformatics, 14 (S10)
doi: 10.1186/1471-2105-14-S10-S9
Artikel, Bibliographie

Klann, M. ; Ganguly, A. ; Koeppl, H. (2012)
Hybrid spatial Gillespie and particle tracking simulation.
In: Bioinformatics (Oxford, England), 28 (18)
Artikel, Bibliographie

Koeppl, H. ; Zechner, C. ; Ganguly, A. ; Pelet, S. ; Peter, M. (2012)
Accounting for extrinsic variability in the estimation of stochastic rate constants.
In: International Journal of Robust and Nonlinear Control, 22 (10)
Artikel, Bibliographie

Klann, M. ; Koeppl, H. (2012)
Spatial simulations in systems biology: from molecules to cells.
In: International journal of molecular sciences, 13 (6)
Artikel, Bibliographie

Klann, M. ; Koeppl, H. ; Reuss, M. (2012)
Spatial modeling of vesicle transport and the cytoskeleton: the challenge of hitting the right road.
In: PloS one, 7 (1)
Artikel, Bibliographie

Koeppl, H. ; Petrov, T. (2012)
Reductions of stochastic rule-based models: HOG pathway in yeast.
ICSB : The 13th International Conference on Systems Biology.
Konferenzveröffentlichung, Bibliographie

Klann, M. ; Koeppl, H. (2012)
Spatial stochastic simulation of transcription factor binding reveals mechaniscms to control gene activation.
9th International Workshop on Computational Systems Biology (WCSB 2012).
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Hafner, M. ; Ganguly, A. ; Mehrotra, A. (2011)
Deterministic characterization of phase noise in biomolecular oscillators.
In: Physical biology, 8 (5)
Artikel, Bibliographie

Koeppl, H. ; Petrov, T. (2011)
Stochastic Semantics of Signaling as a Composition of Agent-view Automata.
In: Electronic Notes in Theoretical Computer Science, 272
doi: 10.1016/j.entcs.2011.04.002
Artikel, Bibliographie

Klann, M. ; Ganguly, A. ; Koeppl, H. (2011)
Improved Reaction Scheme for Spatial Stochastic Simulations with Single Molecule Detail.
Eighth International Workshop on Computational Systems Biology (WCSB 2011).
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Andreozzi, S. ; Steuer, R. (2011)
Guaranteed and Randomized Methods for Stability Analysis of Uncertain Metabolic Networks.
In: Lecture notes in control and information sciences, 407
Artikel, Bibliographie

Koeppl, H. ; Setti, G. ; Pelet, S. ; Mangia, M. ; Petrov, T. ; Peter, M. (2010)
Probability metrics to calibrate stochastic chemical kinetics.
doi: 10.1109/ISCAS.2010.5537549
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Setti, G. (2009)
Analysis and design of biological circuits and systems.
2009 IEEE International Symposium on Circuits and Systems.
Konferenzveröffentlichung, Bibliographie

Koeppl, H. (2009)
A Local Nonlinear Model for the Approximation and Identification of a Class of Systems.
In: IEEE Transactions on Circuits and Systems II: Express Briefs, 56 (4)
doi: 10.1109/TCSII.2009.2015383
Artikel, Bibliographie

Koeppl, H. ; Haeusler, S. (2009)
Motifs, algebraic connectivity and computational performance of two data- based cortical circuit templates.
In: Proceedings of the sixth International Workshop on Computational Systems Biology
Artikel, Bibliographie

Koeppl, H. ; Hafner, M. ; Steuer, R. (2009)
Semi-quantitative stability analysis constrains saturation levels in metabolic networks.
Proceedings of the Intenational Workshop on Computational Systems Biology (WCSB).
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Schumacher, L. ; Danos, V. (2009)
A Statistical analysis of receptor.
Proceedings of the International Workshop on Computtional Systmes Biology (WCSB).
Konferenzveröffentlichung, Bibliographie

Krall, C. ; Witrisal, K. ; Leus, G. ; Koeppl, H. (2008)
Minimum Mean-Square Error Equalization for Second-Order Volterra Systems.
In: IEEE Transactions on Signal Processing, 56 (10)
doi: 10.1109/TSP.2008.928167
Artikel, Bibliographie

Koeppl, H. (2007)
The Composition Rule for Multivariate Volterra Operators and its Application to Circuit Analysis.
2007 IEEE International Symposium on Circuits and Systems.
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Chua, L. O. (2007)
An Adaptive Cellular Nonlinear Network and its Application.
In: Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA), pages 15–18, Sept. 16-19, 2007, Vancouver, Canada.
Artikel, Bibliographie

Koeppl, H. ; Singerl, P. (2006)
An Efficient Scheme for Nonlinear Modeling and Predistortion in Mixed-Signal Systems.
In: IEEE Transactions on Circuits and Systems II: Express Briefs, 53 (12)
Artikel, Bibliographie

Koeppl, H. (2006)
Information Rate Maximization over a Resistive Grid.
The 2006 IEEE International Joint Conference on Neural Network Proceedings.
Konferenzveröffentlichung, Bibliographie

Koeppl, H. (2006)
An Adaptive Cellular Network for Subspace Extraction.
2006 Fortieth Asilomar Conference on Signals, Systems and Computers.
Konferenzveröffentlichung, Bibliographie

Krall, C. ; Witrisal, K. ; Koeppl, H. ; Leus, G. ; Pausini, M. (2005)
Nonlinear equalization for frame-differential IR-UWB receivers.
In: 2005 IEEE International Conference on Ultra-Wideband
Artikel, Bibliographie

Koeppl, H. ; Josan, A. S. ; Paoli, G. ; Kubin, G. (2004)
The Cramer-Rao Bound and DMT Signal Optimisation for the Identification of a Wiener-Type Model.
In: EURASIP Journal on Applied Signal Processing, 12
Artikel, Bibliographie

Koeppl, H. ; Schwingshackl, D. (2004)
Comparison of discrete-time approximations for continuous-time nonlinear systems.
In: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2
Artikel, Bibliographie

Koeppl, H. (2004)
Nonlinear System Identification for Mixed Signal Processing | Signal Processing and Speech Communication Laboratory.
Graz University of Technology
Dissertation, Bibliographie

Koeppl, H. ; Kubin, G. ; Paoli, G. (2003)
Bayesian methods for sparse RLS adaptive filters.
The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Paoli, G. ; Kubin, G. (2003)
The Cramer-Rao bound for a factorizable Volterra system.
IEEE Workshop on Nonlinear Signal and Image Processing.
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Paoli, G. (2002)
Non-linear modeling of a broadband SLIC for ADSL-Lite-over-POTS using harmonic analysis.
2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).
Konferenzveröffentlichung, Bibliographie

Koeppl, H. ; Paoli, G. (2002)
Non-Linear System Identification of a Broadband Subscriber Line Interface Circuitry Using the Volterra Approach.
In: Mathematics in Signal Processing V, V (Chapter 13)
doi: 10.1093/oso/9780198507345.003.0013
Artikel, Bibliographie

Koeppl, H. (2001)
Identification of a non-linear analog circuitry for an ADSL application.
Karl-Franzens-Universität
Masterarbeit, Bibliographie

Koeppl, H. ; Paoli, G.
Hrsg.: The Institute of Mathematics and its Applications (IMA) (2000)
Non-Linear System Identification of a Broadband Subscriber Line Interface Circuit for ADSL-Lite Using the Volterra Approach.
5th IMA International Conference on Mathematics in Signal Processing. Warwick, United Kingdom
Konferenzveröffentlichung, Bibliographie

L

Lehr, François-Xavier ; Kuzembayeva, Alina ; Bailey, Megan E. ; Kleindienst, Werner ; Kabisch, Johannes ; Koeppl, Heinz (2021)
Functionalizing cell-free systems with CRISPR-associated proteins: Application to RNA-based circuit engineering.
In: ACS Synthetic Biology, 10 (9)
doi: 10.1021/acssynbio.0c00386
Artikel, Bibliographie

Linzner, D. ; Koeppl, H. (2021)
Active Learning of Continuous-time Bayesian Networks through Interventions.
38th International Conference on Machine Learning. virtual Conference (18.07.2021-24.07.2021)
Konferenzveröffentlichung, Bibliographie

Linzner, Dominik (2021)
Scalable Inference in Graph-coupled Continuous-time Markov Chains.
Technische Universität Darmstadt
doi: 10.12921/tuprints-00017403
Dissertation, Erstveröffentlichung, Verlagsversion

Lehr, François-Xavier (2021)
Engineering and testing RNA-circuits in cell-free systems.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00015408
Dissertation, Erstveröffentlichung, Verlagsversion

Linzner, D. ; Heinz, K. (2020)
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes.
AAAI-20 - Thirty-Fourth AAAI Conference on Artificial Intelligence. New York, USA (07.02.2020-12.02.2020)
Konferenzveröffentlichung, Bibliographie

Lehr, François-Xavier ; Hanst, Maleen ; Vogel, Marc ; Kremer, Jennifer ; Göringer, H. Ulrich ; Suess, Beatrix ; Koeppl, Heinz (2019)
Cell-free prototyping of AND-logic gates based on heterogeneous RNA activators.
In: ACS Synthetic Biology, 8 (9)
doi: 10.1021/acssynbio.9b00238
Artikel, Bibliographie

Linzner, D. ; Schmidt, M. ; Koeppl, H. (2019)
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.
33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada (09.12.2019-13.12.2019)
Konferenzveröffentlichung, Bibliographie

Linzner, D. ; Koeppl, H. (2018)
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.
32. Conference on Neural Information Processing Systems. Montreal, Canada (03.12.2018-08.12.2018)
Konferenzveröffentlichung, Bibliographie

Lu, J. ; August, E. ; Koeppl, H. (2013)
Inverse problems from biomedicine : Inference of putative disease mechanisms and robust therapeutic strategies.
In: Journal of mathematical biology, 67 (1)
Artikel, Bibliographie

Lu, J. ; Grass, P. ; Koeppl, H. (2011)
Computational identification of optimal multi target drug intervention strategies for combination theory.
Eighth International Workshop on Computational Systems Biology, WCSB 2011, June 6-8, 2011, Zurich, Switzerland.
Konferenzveröffentlichung, Bibliographie

M

Machkour, J. ; Alt, B. ; Muma, M. ; Zoubir, A. M. (2017)
The Outlier-Corrected-Data-Adaptive Lasso: A New Robust Estimator for the Independent Contamination Model.
25th European Signal Processing Conference (EUSIPCO 2017). Kos, Greece (28.08.2017-02.09.2017)
doi: 10.23919/EUSIPCO.2017.8081489
Konferenzveröffentlichung, Bibliographie

Maistrenko, Yuriy ; Sudakov, Oleksandr ; Osiv, Oleksiy ; Maistrenko, Volodymyr (2015)
Chimera states in three dimensions.
In: New Journal of Physics, 17 (7)
doi: 10.1088/1367-2630/17/7/073037
Artikel, Bibliographie

Meyer, P. ; Alexopoulos, L. G. ; Bonk, T. ; Califano, A. ; Cho, C. R. ; Fuente, A. de la ; Graaf, D. de ; Hartemink, A. J. ; Hoeng, J. ; Ivanov, N. V. ; Koeppl, H. ; Linding, R. ; Marbach, D. ; Norel, R. ; Peitsch, M. C. ; Rice, J. J. ; Royyuru, A. ; Schacherer, F. ; Sprengel, J. ; Stolle, K. ; Vitkup, D. ; Stolovitzky, G. (2011)
Verification of systems biology research in the age of collaborative competition.
In: Nature biotechnology, 29 (9)
Artikel, Bibliographie

Murmann, B. ; Vogel, C. ; Koeppl, H. (2008)
Digitally enhanced analog circuits: System aspects.
2008 IEEE International Symposium on Circuits and Systems.
Konferenzveröffentlichung, Bibliographie

N

Nandy, P. ; Unger, M. ; Zechner, C. ; Koeppl, H. (2012)
Optimal Perturbations for the Identification of Stochastic Reaction Dynamics.
16th IFAC Symposium on System Identification.
Konferenzveröffentlichung, Bibliographie

O

Ourari, R. ; Cui, K. ; Elshamanhory, Ahmed A. ; Koeppl, H. (2022)
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning.
doi: 10.48550/arXiv.2104.14912
Report, Bibliographie

Ourari, Ramzi ; Cui, Kai ; Elshamanhory, Ahmed ; Koeppl, Heinz (2022)
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning.
doi: 10.1109/ICRA46639.2022.9812221
Konferenzveröffentlichung, Bibliographie

P

Prangemeier, T. ; Wildner, C. ; Françani, A. ; Reich, C. ; Koeppl, H. (2021)
Yeast cell segmentation in microstructured environments with deep learning.
In: Biosystems
doi: 10.1016/j.biosystems.2021.104557
Artikel, Bibliographie

Prangemeier, T. ; Reich, C. ; Wildner, C. ; Koeppl, H. (2021)
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy.
24th International Conference on Medical Image Computing and Computer-Assisted Intervention. Strasbourg, France (27.09.2021-01.10.2021)
doi: 10.1007/978-3-030-87237-3_46
Konferenzveröffentlichung, Bibliographie

Prangemeier, Tim ; Reich, C. ; Koeppl, H. (2020)
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures.
IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020). virtual Conference (16.12.2020-19.12.2020)
doi: 10.1109/BIBM49941.2020.9313305
Konferenzveröffentlichung, Bibliographie

Prangemeier, Tim ; Wildner, C. ; Francani, A. O. ; Reich, C. ; Koeppl, H. (2020)
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.
International Conference on Computational Intelligence in Bioinformatics and Computational Biology. virtual Conference (27.10.2020-29.10.2020)
doi: 10.1109/CIBCB48159.2020.9277693
Konferenzveröffentlichung, Bibliographie

Prangemeier, Tim ; Lehr, F.-X. ; Schoeman, R.M. ; Koeppl, H. (2020)
Microfluidic platforms for the dynamic characterisation of synthetic circuitry.
In: Current Opinion in Biotechnology, 63
doi: 10.1016/j.copbio.2020.02.002
Artikel, Bibliographie

Prangemeier, Tim ; Wildner, C. ; Hanst, M. ; Koeppl, Heinz (2018)
Maximizing information gain for the characterization of biomolecular circuits.
5th ACM International Conference on Nanoscale Computing and Communication (NANOCOM'18). Reykjavik, Iceland (05.09.2018-07.09.2018)
doi: 10.1145/3233188.3233217
Konferenzveröffentlichung, Bibliographie

Paulevé, L. ; Craciun, G. ; Koeppl, H. (2013)
Dynamical properties of Discrete Reaction Networks.
In: Journal of mathematical biology, 69
Artikel, Bibliographie

Paulevé, L. ; Andrieux, G. ; Koeppl, H. (2013)
Under-approximating cut sets for reachability in large scale automata Networks.
25th International Conference on Computer Aided Verification (CAV 2013).
Konferenzveröffentlichung, Bibliographie

Petrov, T. ; Feret, J. ; Koeppl, H. (2012)
Reconstructing species-based dynamics from reduced stochastic rule-based models.
2012 Winter Simulation Conference (WSC'12). Berlin, Germany (09.12.2012-12.12.2012)
Konferenzveröffentlichung, Bibliographie

Petrov, T. ; Ganguly, A. ; Koeppl, H. (2012)
Model Decomposition and Stochastic Fragments.
In: Electronic Notes in Theoretical Computer Science, 284
doi: 10.1016/j.entcs.2012.05.018
Artikel, Bibliographie

Pantea, C. ; Koeppl, H. ; Craciun, G. (2012)
Global injectivity and multiple equilibria in uni- and bi-molecular reaction networks.
In: Discrete and Continuous Dynamical Systems - Series B, 17 (6)
Artikel, Bibliographie

Petrov, Tatjana ; Koeppl, Heinz (2010)
Maximal reduction of deterministic semantics of rule-based models: Syntax-Independent Setup.
7th International Workshop on Computational Systems Biology. Luxembourg (16.06.2010-18.06.2010)
Konferenzveröffentlichung, Bibliographie

Parisi, F. ; Koeppl, H. ; Naef, F. (2009)
Network inference by combining biologically motivated regulatory constraints with penalized regression.
In: Annals of the New York Academy of Sciences, 1158
Artikel, Bibliographie

Paoli, G. ; Koeppl, H. (2001)
Non-linear identification and modeling of large scale analog integrated circuitties for DMT based applications.
Proc. of the Electronic Circuits and Systems Conference.
Konferenzveröffentlichung, Bibliographie

R

Reich, Christoph ; Prangemeier, Tim ; Koeppl, Heinz (2023)
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures.
International Conference on Computer Vision (ICCV 2023). Paris, France (02.-06.10.2023)
doi: 10.1109/ICCVW60793.2023.00426
Konferenzveröffentlichung, Bibliographie

Reich, C. ; Prangemeier, T. ; Özdemir, C. ; Koeppl, H. (2021)
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data.
32nd British Machine Vision Conference. virtual Conference (22.11.2021-25.11.2021)
Konferenzveröffentlichung, Bibliographie

Ruess, J. ; Koeppl, H. ; Zechner, C. (2017)
Sensitivity estimation for stochastic models of biochemical reaction networks in the presence of extrinsic variability.
In: The Journal of Chemical Physics, 146 (124122)
Artikel, Bibliographie

Richerzhagen, Björn ; Wulfheide, Julian ; Koeppl, Heinz ; Mauthe, Andreas ; Nahrstedt, Klara ; Steinmetz, Ralf (2016)
Enabling Crowdsourced Live Event Coverage with Adaptive Collaborative Upload Strategies.
17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM). Coimbra, Portugal (21.06.2016-24.06.2016)
doi: 10.1109/WoWMoM.2016.7523526
Konferenzveröffentlichung, Bibliographie

Rodrigues, A. ; Koeppl, H. ; Ohtsuki, H. ; Satake, A. (2009)
A Game Theoretical Model of deforestation in human-environment relationships.
In: Journal of Theoretical Biology, 258 (1)
Artikel, Bibliographie

S

Schultheis, Matthias ; Rothkopf, Constantin A. ; Koeppl, Heinz (2022)
Reinforcement Learning with Non-Exponential Discounting.
36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, USA (28.11.-09.12.2022)
Konferenzveröffentlichung, Bibliographie

Schladt, T. ; Engelmann, N. ; Kubaczka, E. ; Hochberger, C. ; Koeppl, H. (2021)
Automated Design of Robust Genetic Circuits: Structural Variants and Parameter Uncertainty.
In: ACS Synthetic Biology, 2021, 10
doi: 10.1021/acssynbio.1c00193
Artikel, Bibliographie

Schladt, Tobias ; Engelmann, Nicolai ; Kubaczka, Erik ; Hochberger, Christian ; Koeppl, Heinz (2021)
Automated Design of Robust Genetic Circuits: Structural Variants and Parameter Uncertainty.
doi: 10.1101/2021.08.13.456094
Report, Bibliographie

Sinzger, Mark ; Gehri, Maximilian ; Koeppl, Heinz (2020)
Poisson channel with binary Markov input and average sojourn time constraint.
2020 IEEE International Symposium on Information Theory (ISIT'20). virtual Conference (21.06.2020-26.06.2020)
doi: 10.1109/ISIT44484.2020.9174360
Konferenzveröffentlichung, Bibliographie

Sinzger, M. ; Gehri, M. ; Koeppl, H. (2020)
Poisson channel with binary Markov input and average sojourn time constraint.
ISIT'20 - International Symposium on Information Theory. virtual online conference (21.06.2020-26.06.2020)
doi: 10.1109/ISIT44484.2020.9174360
Konferenzveröffentlichung, Bibliographie

Sinzger, Mark ; Vanhoefer, Jakob ; Loos, Carolin ; Hasenauer, Jan (2019)
Comparison of null models for combination drug therapy reveals Hand model as biochemically most plausible.
In: Scientific Reports, 9
doi: 10.1038/s41598-019-38907-x
Artikel, Bibliographie

Sulaimanov, N. ; Koeppl, H. ; Burdet, F. ; Ibberson, M. ; Pagni, M. ; Kumar, S. (2018)
Inferring gene expression networks with hubs using a degree weighted Lasso approach.
In: Bioinformatics (Oxford, England), bty716
doi: 10.1093/bioinformatics/bty716
Artikel, Bibliographie

Sulaimanov, N. ; Klose, M. ; Busch, H. ; Boerries, M. (2017)
Understanding the mTOR signaling pathway via mathematical modeling.
In: WIREs Systems Biology and Medicine, 9 (4)
Artikel, Bibliographie

Sulaimanov, N. ; Koeppl, H. (2016)
Graph reconstruction using covariance based methods.
In: EURASIP Journal on Bioinformatics and Systems Biology
Artikel, Bibliographie

Studer, L. ; Paulevé, L. ; Zechner, C. ; Reumann, M. ; Rodriguez Martinez, M. ; Koeppl, H. (2016)
Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations.
AAAI, Association for the Advancement of Artificial Intelligence. Phoenix, USA (12.02.2016-17.02.2016)
Konferenzveröffentlichung, Bibliographie

Sutter, T. ; Ganguly, A. ; Koeppl, H. (2016)
A variational approach to path estimation and parameter inference of hidden diffusion processes.
In: Journal of Machine Learning Research, 17 (190)
Artikel, Bibliographie

Sulaimanov, Nurgazy ; Koeppl, Heinz (2016)
Graph reconstruction using covariance-based methods.
In: EURASIP Journal on Bioinformatics and Systems Biology
doi: 10.1186/s13637-016-0052-y
Artikel, Bibliographie

Singerl, P. ; Koeppl, H. (2007)
A Low-rate identification method for digital predistorters based on Volterra kernel interpolation.
In: Analog Integrated Circuits and Signal Processing, 56 (1-2)
Artikel, Bibliographie

Singerl, P. ; Koeppl, H. (2005)
A Low-rate identification method for digital predistorters based on Volterra kernel interpolation.
In: Circuits and Systems, 2005. 48th Midwest Symposium, 2
Artikel, Bibliographie

Schwingshackl, D. ; Koeppl, H. ; Kubin, G. (2005)
Exact discrete-time representation of continuous-time Volterra filters.
In: NSIP 2005. Abstracts. IEEE-Eurasip Nonlinear Signal and Image Processing, 2005.
Artikel, Bibliographie

Singerl, P. ; Koeppl, H. (2005)
Volterra kernel interpolation for system modeling and predistortion purposes.
International Symposium on Signals, Circuits and Systems, 2005. ISSCS 2005..
Konferenzveröffentlichung, Bibliographie

Shutin, D. ; Koeppl, H. (2004)
Application of the Evidence Procedure to Linear Problems in Signal Processing.
AIP Conference Proceedings. Garching (25.07.2004-30.07.2004)
doi: 10.1063/1.1835210
Konferenzveröffentlichung, Bibliographie

T

Tahir, A. ; Cui, K. ; Koeppl, H. (2023)
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems.
51st International Conference on Parallel Processing. Bordeaux, France (29.08.2022 - 01.09.2022)
doi: 10.1145/3545008.3545025
Konferenzveröffentlichung, Bibliographie

Tarca, A. L. ; Lauria, M. ; Unger, M. ; Bilal, E. ; Boue, S. ; Kumar Dey, K. ; Hoeng, J. ; Koeppl, H. ; Martin, F. ; Meyer, P. ; Nandy, P. ; Norel, R. ; Peitsch, M. ; Rice, J. ; Romero, R. ; Stolovitzky, G. ; Talikka, M. ; Xiang, Y. ; Zechner, C. (2013)
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.
In: Bioinformatics (Oxford, England), 29 (22)
Artikel, Bibliographie

U

Unger, M. ; Lee, S.-S. ; Peter, M. ; Koeppl, H. (2011)
Pulse Width Modulation of Liquid Flows.
15th International Conference on Miniaturized Systems for Chemistry and Life Sciences.
Konferenzveröffentlichung, Bibliographie

V

Vogel, C. ; Koeppl, H. (2003)
Behavioral Modeling of Time-Interleaved ADCs using MATLAB.
Austrochip 2003. Linz, Austria (03.10.2003-12.10.2003)
Konferenzveröffentlichung, Bibliographie

W

Wildner, C. ; Koeppl, H. (2021)
Moment-Based Variational Inference for Stochastic Differential Equations.
24th International Conference on Artificial Intelligence and Statistics (AISTATS). virtual Conference (13.04.2021-15.04.2021)
Konferenzveröffentlichung, Bibliographie

Wildner, Christian ; Koeppl, Heinz
Hrsg.: PMLR (2019)
Moment-Based Variational Inference for Markov Jump Processes.
International Conference on Machine Learning. Long Beach, California, USA (09.06.2019-15.06.2019)
Konferenzveröffentlichung, Bibliographie

Wolkerstorfer, M. ; Koeppl, H. (2007)
On the Projection Dynamic for Selfish Routing.
European Complex Systems Conference.
Konferenzveröffentlichung, Bibliographie

Y

Yang, S. ; Koeppl, H. (2020)
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks.
36th Conference on Uncertainty in Artificial Intelligence (UAI). virtual Conference (03.08.2020-06.08.2020)
Konferenzveröffentlichung, Bibliographie

Yang, Sikun (2020)
Non-parametric Bayesian Latent Factor Models for Network Reconstruction.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00009695
Dissertation, Erstveröffentlichung

Yang, S. ; Koeppl, H. (2018)
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis.
IEEE International Conference on Data Mining (ICDM'18). Singapore (17.11.2018-20.11.2018)
doi: 10.1109/ICDM.2018.00084
Konferenzveröffentlichung, Bibliographie

Yang, S. ; Koeppl, H. (2018)
Dependent Relational Gamma Process Models for Longitudinal Networks.
Thirty-fifth International Conference on Machine Learning. Stockholm, Denmark (10.07.2018-15.07.2018)
Konferenzveröffentlichung, Bibliographie

Yang, S. ; Koeppl, H. (2018)
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks.
AAAI 2018, Association for the Advancement of Artificial Intelligence. New Orleans (02.02.2018-07.02.2018)
Konferenzveröffentlichung, Bibliographie

Z

Zechner, C. ; Unger, M. ; Pelet, S. ; Peter, M. ; Koeppl, H. (2014)
Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings.
In: Nature methods, 11 (2)
Artikel, Bibliographie

Zechner, C. ; Wadehn, F. ; Koeppl, H. (2014)
Sparse learning of Markovian population models in random environments.
IFAC 2014, The 19th World Congress of the International Federation of Automatic Control, Promoting automatic control for the benefit of humankind. Cape Town, South Africa (24.08.2014-29.08.2014)
Konferenzveröffentlichung, Bibliographie

Zechner, C. ; Deb, S. ; Koeppl, H. (2013)
Marginal dynamics of stochastic biochemical networks in random environments.
2013 European Control Conference (ECC). Zürich (17.07.2013-19.07.2013)
Konferenzveröffentlichung, Bibliographie

Zechner, C. ; Nandy, P. ; Unger, M. ; Koeppl, H. (2012)
Optimal variational perturbations for the inference of stochastic reaction dynamics.
2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
Konferenzveröffentlichung, Bibliographie

Zechner, C. ; Ruess, J. ; Krenn, P. ; Pelet, S. ; Peter, M. ; Lygeros, J. ; Koeppl, H. (2012)
Moment-based inference predicts bimodality in transient gene expression.
In: Proceedings of the National Academy of Sciences of the United States of America, 109 (21)
Artikel, Bibliographie

Zechner, C. ; Pelet, S. ; Peter, M. ; Koeppl, H. (2011)
Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations.
In: IEEE Conference on Decision and Control and European Control Conference
Artikel, Bibliographie

Š

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018)
A Bayesian Approach to Policy Recognition and State Representation Learning.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (6)
doi: 10.1109/TPAMI.2017.2711024
Artikel, Bibliographie

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018)
Reinforcement Learning in a Continuum of Agents.
In: Swarm Intelligence, 12 (1)
doi: 10.1007/s11721-017-0142-9
Artikel, Bibliographie

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018)
Inverse Reinforcement Learning via Nonparametric Subgoal Modeling.
Konferenzveröffentlichung, Bibliographie

Šošić, A. ; Rueckert, E. ; Peters, J. ; Zoubir, A. M. ; Koeppl, H. (2018)
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
In: Journal of Machine Learning Research, 19 (69)
Artikel, Bibliographie

Šošić, A. ; KhudaBukhsh, W. R. ; Zoubir, A. M. ; Koeppl, H. (2017)
Inverse Reinforcement Learning in Swarm Systems.
Konferenzveröffentlichung, Bibliographie

Šošić, A. ; KhudaBukhsh, W. R. ; Zoubir, A. M. ; Koeppl, H. (2017)
Inverse Reinforcement Learning in Swarm Systems.
Konferenzveröffentlichung, Bibliographie

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2016)
Policy Recognition via Expectation Maximization.
IEEE International Conference on Acoustics, Speech and Signal Processing.
doi: 10.1109/ICASSP.2016.7472589
Konferenzveröffentlichung, Bibliographie