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Heinz Koeppl
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Journal Articles
- 2024
- [j40]Jürgen Adamy, Ulrike A. Nuber, Heinz Koeppl, Georg Bretthauer:
Biological engineering - an engineering discipline crucial to the future of our civilization. Autom. 72(7): 579-584 (2024) - [j39]Douglas A. Lauffenburger, Heinz Koeppl:
New biological solutions to the many problems of our time. Autom. 72(7): 585-588 (2024) - 2023
- [j38]Christian Fabian
, Kai Cui
, Heinz Koeppl:
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. IEEE Control. Syst. Lett. 7: 877-882 (2023) - [j37]Anam Tahir
, Bastian Alt
, Amr Rizk
, Heinz Koeppl:
Load Balancing in Compute Clusters With Delayed Feedback. IEEE Trans. Computers 72(6): 1610-1622 (2023) - [j36]Mark Sinzger-D'Angelo
, Heinz Koeppl
:
Counting Processes With Piecewise-Deterministic Markov Conditional Intensity: Asymptotic Analysis, Implementation, and Information-Theoretic Use. IEEE Trans. Inf. Theory 69(11): 6822-6856 (2023) - 2022
- [j35]Tim Prangemeier
, Christian Wildner
, André O. Françani
, Christoph Reich
, Heinz Koeppl
:
Yeast cell segmentation in microstructured environments with deep learning. Biosyst. 211: 104557 (2022) - [j34]Yassin Alkhalili, Jannis Weil, Anam Tahir
, Tobias Meuser, Boris Koldehofe, Andreas Mauthe, Heinz Koeppl, Ralf Steinmetz
:
Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 80 (2022) - 2021
- [j33]Thomas Kuebert
, Henning Puder, Heinz Koeppl:
Improving Daily Routine Recognition in Hearing Aids Using Sequence Learning. IEEE Access 9: 93237-93247 (2021) - [j32]Nikita Kruk, José A. Carrillo
, Heinz Koeppl:
A finite volume method for continuum limit equations of nonlocally interacting active chiral particles. J. Comput. Phys. 440: 110275 (2021) - [j31]Thomas Kuebert
, Henning Puder, Heinz Koeppl:
Daily Routine Recognition for Hearing Aid Personalization. SN Comput. Sci. 2(2): 133 (2021) - 2020
- [j30]Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt
, Florin Ciucu, Heinz Koeppl, Carsten Binnig
, Amr Rizk:
On the Throughput Optimization in Large-scale Batch-processing Systems. Perform. Evaluation 144: 102142 (2020) - [j29]Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig
, Amr Rizk:
On the Throughput Optimization in Large-Scale Batch-Processing Systems. SIGMETRICS Perform. Evaluation Rev. 48(3): 128-129 (2020) - [j28]Wasiur R. KhudaBukhsh
, Sounak Kar, Bastian Alt
, Amr Rizk
, Heinz Koeppl:
Generalized Cost-Based Job Scheduling in Very Large Heterogeneous Cluster Systems. IEEE Trans. Parallel Distributed Syst. 31(11): 2594-2604 (2020) - 2019
- [j27]Nurgazy Sulaimanov, Sunil Kumar, Frédéric Burdet, Mark Ibberson
, Marco Pagni
, Heinz Koeppl:
Inferring gene expression networks with hubs using a degree weighted Lasso approach. Bioinform. 35(6): 987-994 (2019) - [j26]Wasiur R. KhudaBukhsh
, Arnab Auddy
, Yann Disser, Heinz Koeppl:
Approximate lumpability for Markovian agent-based models using local symmetries. J. Appl. Probab. 56(3): 647-671 (2019) - [j25]Bastian Alt
, Markus Weckesser, Christian Becker, Matthias Hollick
, Sounak Kar, Anja Klein, Robin Klose, Roland Kluge
, Heinz Koeppl, Boris Koldehofe
, Wasiur R. KhudaBukhsh
, Manisha Luthra, Mahdi Mousavi, Max Mühlhäuser, Martin Pfannemüller
, Amr Rizk, Andy Schürr, Ralf Steinmetz
:
Transitions: A Protocol-Independent View of the Future Internet. Proc. IEEE 107(4): 835-846 (2019) - [j24]Jérôme Feret, Heinz Koeppl:
Editorial. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1561 (2019) - [j23]Wasiur R. KhudaBukhsh
, Sounak Kar, Amr Rizk, Heinz Koeppl:
Provisioning and Performance Evaluation of Parallel Systems with Output Synchronization. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4(1): 6:1-6:31 (2019) - 2018
- [j22]Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. J. Mach. Learn. Res. 19: 69:1-69:45 (2018) - [j21]Adrian Sosic
, Abdelhak M. Zoubir, Heinz Koeppl:
A Bayesian Approach to Policy Recognition and State Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1295-1308 (2018) - [j20]Adrian Sosic
, Abdelhak M. Zoubir, Heinz Koeppl:
Reinforcement learning in a continuum of agents. Swarm Intell. 12(1): 23-51 (2018) - [j19]Adrian Sosic
, Abdelhak M. Zoubir, Heinz Koeppl:
Correction to: Reinforcement learning in a continuum of agents. Swarm Intell. 12(4): 361 (2018) - 2016
- [j18]Nurgazy Sulaimanov, Heinz Koeppl:
Graph reconstruction using covariance-based methods. EURASIP J. Bioinform. Syst. Biol. 2016: 19 (2016) - [j17]Tobias Sutter, Arnab Ganguly, Heinz Koeppl:
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes. J. Mach. Learn. Res. 17: 190:1-190:37 (2016) - 2015
- [j16]Arnab Ganguly, Derya Altintan, Heinz Koeppl:
Jump-Diffusion Approximation of Stochastic Reaction Dynamics: Error Bounds and Algorithms. Multiscale Model. Simul. 13(4): 1390-1419 (2015) - [j15]Lirong Huang, Håkan Hjalmarsson
, Heinz Koeppl:
Almost sure stability and stabilization of discrete-time stochastic systems. Syst. Control. Lett. 82: 26-32 (2015) - [j14]Bernhard C. Geiger
, Tatjana Petrov
, Gernot Kubin, Heinz Koeppl:
Optimal Kullback-Leibler Aggregation via Information Bottleneck. IEEE Trans. Autom. Control. 60(4): 1010-1022 (2015) - 2014
- [j13]Christoph Zechner
, Heinz Koeppl:
Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments. PLoS Comput. Biol. 10(12) (2014) - 2013
- [j12]Adi L. Tarca, Mario Lauria
, Michael Unger, Erhan Bilal, Stéphanie Boué, Kushal Kumar Dey, Julia Hoeng, Heinz Koeppl, Florian Martin, Pablo Meyer, Preetam Nandy, Raquel Norel
, Manuel C. Peitsch
, John Jeremy Rice, Roberto Romero
, Gustavo Stolovitzky, Marja Talikka, Yang Xiang, Christoph Zechner
, Improver Dsc Collaborators:
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge. Bioinform. 29(22): 2892-2899 (2013) - [j11]Heinz Koeppl, Marc Hafner
, James Lu
:
Mapping behavioral specifications to model parameters in synthetic biology. BMC Bioinform. 14(S-10): S9 (2013) - [j10]Jérôme Feret, Heinz Koeppl, Tatjana Petrov:
Stochastic Fragments: A Framework for the Exact Reduction of the Stochastic Semantics of Rule-Based Models. Int. J. Softw. Informatics 7(4): 527-604 (2013) - 2012
- [j9]Michael Klann, Arnab Ganguly, Heinz Koeppl:
Hybrid spatial Gillespie and particle tracking simulation. Bioinform. 28(18): 549-555 (2012) - [j8]Noriko Hiroi
, Michael Klann, Keisuke Iba, Pablo de Heras Ciechomski, Shuji Yamashita, Akito Tabira, Takahiro Okuhara, Takeshi Kubojima, Yasunori Okada, Kotaro Oka, Robin Mange, Michael Unger, Akira Funahashi
, Heinz Koeppl:
From Microscopy Data to in silico Environments for in vivo Oriented Simulations. EURASIP J. Bioinform. Syst. Biol. 2012: 7 (2012) - [j7]Marc Hafner
, Heinz Koeppl, Didier Gonze:
Effect of Network Architecture on Synchronization and Entrainment Properties of the Circadian Oscillations in the Suprachiasmatic Nucleus. PLoS Comput. Biol. 8(3) (2012) - [j6]Jérôme Feret, Thomas A. Henzinger, Heinz Koeppl, Tatjana Petrov
:
Lumpability abstractions of rule-based systems. Theor. Comput. Sci. 431: 137-164 (2012) - 2009
- [j5]Marc Hafner
, Heinz Koeppl, Martin Hasler, Andreas Wagner:
'Glocal' Robustness Analysis and Model Discrimination for Circadian Oscillators. PLoS Comput. Biol. 5(10) (2009) - [j4]Heinz Koeppl:
A Local Nonlinear Model for the Approximation and Identification of a Class of Systems. IEEE Trans. Circuits Syst. II Express Briefs 56-II(4): 315-319 (2009) - 2008
- [j3]Christoph Krall, Klaus Witrisal, Geert Leus
, Heinz Koeppl:
Minimum Mean-Square Error Equalization for Second-Order Volterra Systems. IEEE Trans. Signal Process. 56(10-1): 4729-4737 (2008) - 2006
- [j2]Heinz Koeppl, Peter Singerl:
An Efficient Scheme for Nonlinear Modeling and Predistortion in Mixed-Signal Systems. IEEE Trans. Circuits Syst. II Express Briefs 53-II(12): 1368-1372 (2006) - 2004
- [j1]Heinz Koeppl, Awlok Josan, G. Paoli, Gernot Kubin:
The Cramer-Rao Bound and DMT Signal Optimisation for the Identification of a Wiener-Type Model. EURASIP J. Adv. Signal Process. 2004(12): 1817-1830 (2004)
Conference and Workshop Papers
- 2024
- [c87]Kai Cui
, Gökçe Dayanikli
, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl:
Learning Discrete-Time Major-Minor Mean Field Games. AAAI 2024: 9616-9625 - [c86]Yannick Eich, Bastian Alt, Heinz Koeppl:
Approximate Control for Continuous-Time POMDPs. AISTATS 2024: 3160-3168 - [c85]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. ICLR 2024 - 2023
- [c84]Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp:
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. ACL (Findings) 2023: 5433-5447 - [c83]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Sparse Graphon Mean Field Games. AISTATS 2023: 4486-4514 - [c82]Özdemir Çetin, Junming Lai, Paul Ziegler, Peter Wild, Gamze Dogali, Heinz Koeppl:
Keypoint-Driven Unsupervised Learning for Histopathology Image Registration. BIBM 2023: 3514-3520 - [c81]Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl:
An Instance Segmentation Dataset of Yeast Cells in Microstructures. EMBC 2023: 1-4 - [c80]Christoph Reich, Tim Prangemeier, Heinz Koeppl:
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures. ICCV (Workshops) 2023: 3942-3953 - [c79]Kai Cui
, Mengguang Li, Christian Fabian
, Heinz Koeppl:
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. ICRA 2023: 1192-1199 - [c78]Kai Cui
, Lars Baumgärtner, Mustafa Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer
, Heinz Koeppl:
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. LCN 2023: 1-8 - [c77]Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf:
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs. NeurIPS 2023 - [c76]Jannis Weil, Yassin Alkhalili, Anam Tahir, Thomas Gruczyk
, Tobias Meuser, Mu Mu, Heinz Koeppl, Andreas Mauthe:
Modeling Quality of Experience for Compressed Point Cloud Sequences based on a Subjective Study. QoMEX 2023: 135-140 - 2022
- [c75]Özdemir Çetin, Mingzhi Chen, Paul Ziegler, Peter Wild, Heinz Koeppl:
Deep learning-based restaining of histopathological images. BIBM 2022: 1467-1474 - [c74]Sharif Azem, Anam Tahir, Heinz Koeppl:
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. CCNC 2022: 1-6 - [c73]Kai Cui
, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl:
Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. GLOBECOM 2022: 976-981 - [c72]Jiekai Jia, Anam Tahir, Heinz Koeppl:
Decentralized Coordination in Partially Observable Queueing Networks. GLOBECOM 2022: 1491-1496 - [c71]Kai Cui
, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. ICLR 2022 - [c70]Lukas Köhs, Bastian Alt, Heinz Koeppl:
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems. ICML 2022: 11430-11454 - [c69]Anam Tahir, Kai Cui
, Heinz Koeppl:
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. ICPP 2022: 42:1-42:11 - [c68]Ramzi Ourari, Kai Cui
, Ahmed Elshamanhory, Heinz Koeppl:
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning. ICRA 2022: 293-300 - [c67]Nicolai Engelmann, Heinz Koeppl:
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains. NeurIPS 2022 - [c66]Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl:
Reinforcement Learning with Non-Exponential Discounting. NeurIPS 2022 - [c65]Özdemir Çetin, Yiran Shu, Nadine Flinner, Paul Ziegler, Peter Wild, Heinz Koeppl:
Multi-magnification Networks for Deformable Image Registration on Histopathology Images. WBIR 2022: 124-133 - 2021
- [c64]Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. AISTATS 2021: 1909-1917 - [c63]Christian Wildner, Heinz Koeppl:
Moment-Based Variational Inference for Stochastic Differential Equations. AISTATS 2021: 1918-1926 - [c62]Christoph Reich, Tim Prangemeier, Özdemir Çetin, Heinz Koeppl:
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data. BMVC 2021: 429 - [c61]Kai Cui
, Anam Tahir, Mark Sinzger, Heinz Koeppl:
Discrete-Time Mean Field Control with Environment States. CDC 2021: 5239-5246 - [c60]Dominik Linzner, Heinz Koeppl:
Active Learning of Continuous-time Bayesian Networks through Interventions. ICML 2021: 6692-6701 - [c59]Christoph Reich
, Tim Prangemeier, Christian Wildner
, Heinz Koeppl:
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. MICCAI (8) 2021: 476-486 - [c58]Lukas Köhs, Bastian Alt
, Heinz Koeppl:
Variational Inference for Continuous-Time Switching Dynamical Systems. NeurIPS 2021: 20545-20557 - 2020
- [c57]Dominik Linzner
, Heinz Koeppl:
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes. AAAI 2020: 7203-7210 - [c56]Tim Prangemeier
, Christoph Reich
, Heinz Koeppl:
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. BIBM 2020: 700-707 - [c55]Tim Prangemeier
, Christian Wildner
, André O. Françani
, Christoph Reich
, Heinz Koeppl:
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CIBCB 2020: 1-8 - [c54]Nicolai Engelmann, Dominik Linzner
, Heinz Koeppl:
Continuous Time Bayesian Networks with Clocks. ICML 2020: 2912-2921 - [c53]Mark Sinzger, Maximilian Gehri
, Heinz Koeppl:
Poisson channel with binary Markov input and average sojourn time constraint. ISIT 2020: 2873-2878 - [c52]Bastian Alt, Matthias Schultheis, Heinz Koeppl:
POMDPs in Continuous Time and Discrete Spaces. NeurIPS 2020 - [c51]Sikun Yang, Heinz Koeppl:
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. UAI 2020: 460-469 - 2019
- [c50]Christian Wildner
, Heinz Koeppl:
Moment-Based Variational Inference for Markov Jump Processes. ICML 2019: 6766-6775 - [c49]Bastian Alt
, Trevor Ballard, Ralf Steinmetz
, Heinz Koeppl, Amr Rizk:
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming. INFOCOM 2019: 1000-1008 - [c48]Thomas Kuebert
, Henning Puder, Heinz Koeppl:
Daily Routine Recognition with Visual Interactive Labeling by Fusing Acceleration and Audio Signals. ISSPIT 2019: 1-6 - [c47]Dominik Linzner, Michael Schmidt, Heinz Koeppl:
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS 2019: 3741-3751 - [c46]Bastian Alt, Adrian Sosic, Heinz Koeppl:
Correlation Priors for Reinforcement Learning. NeurIPS 2019: 14155-14165 - 2018
- [c45]Sikun Yang, Heinz Koeppl:
A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks. AAAI 2018: 4366-4373 - [c44]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning via Nonparametric Subgoal Modeling. AAAI Spring Symposia 2018 - [c43]Sikun Yang, Heinz Koeppl:
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. ICDM 2018: 687-696 - [c42]Sikun Yang, Heinz Koeppl:
Dependent Relational Gamma Process Models for Longitudinal Networks. ICML 2018: 5547-5556 - [c41]Wasiur R. KhudaBukhsh
, Bastian Alt
, Sounak Kar, Amr Rizk, Heinz Koeppl:
Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies. INFOCOM 2018: 1-9 - [c40]Sara Al-Sayed, Heinz Koeppl:
Network Reconstruction From Time-Course Perturbation Data Using Multivariate Gaussian Processes. MLSP 2018: 1-6 - [c39]Tim Prangemeier
, Christian Wildner
, Maleen Hanst, Heinz Koeppl:
Maximizing information gain for the characterization of biomolecular circuits. NANOCOM 2018: 1:1-1:6 - [c38]Dominik Linzner, Heinz Koeppl:
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS 2018: 7891-7901 - [c37]Bastian Alt
, Michael Messer, Jochen Roeper, Gaby Schneider, Heinz Koeppl:
Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains. SSP 2018: 258-262 - 2017
- [c36]Adrian Sosic, Wasiur R. KhudaBukhsh, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning in Swarm Systems. AAMAS 2017: 1413-1421 - [c35]Wasiur R. KhudaBukhsh
, Amr Rizk, Alexander Frömmgen, Heinz Koeppl:
Optimizing stochastic scheduling in fork-join queueing models: Bounds and applications. INFOCOM 2017: 1-9 - [c34]Mahdi Mousavi, Hussein Al-Shatri, Wasiur R. KhudaBukhsh
, Heinz Koeppl, Anja Klein:
Cross-Layer QoE-Based Incentive Mechanism for Video Streaming in Multi-Hop Wireless Networks. VTC Fall 2017: 1-7 - 2016
- [c33]Lukas Studer, Loïc Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl:
Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations. AAAI 2016: 2051-2057 - [c32]Derya Altintan, Arnab Ganguly, Heinz Koeppl:
Efficient simulation of multiscale reaction networks: A multilevel partitioning approach. ACC 2016: 6073-6078 - [c31]Leo Bronstein, Heinz Koeppl:
Scalable inference using PMCMC and parallel tempering for high-throughput measurements of biomolecular reaction networks. CDC 2016: 770-775 - [c30]Leo Bronstein, Heinz Koeppl:
A diagram technique for cumulant equations in biomolecular reaction networks with mass-action kinetics. CDC 2016: 5857-5862 - [c29]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Policy recognition via expectation maximization. ICASSP 2016: 4801-4805 - [c28]Wasiur R. KhudaBukhsh
, Julius Rückert, Julian Wulfheide, David Hausheer, Heinz Koeppl:
Analysing and leveraging client heterogeneity in swarming-based live streaming. Networking 2016: 386-394 - [c27]Björn Richerzhagen, Julian Wulfheide, Heinz Koeppl, Andreas Mauthe
, Klara Nahrstedt, Ralf Steinmetz
:
Enabling crowdsourced live event coverage with adaptive collaborative upload strategies. WoWMoM 2016: 1-3 - 2015
- [c26]Arnab Ganguly, Derya Altintan, Heinz Koeppl:
Error bound and simulation algorithm for piecewise deterministic approximations of stochastic reaction systems. ACC 2015: 787-792 - 2014
- [c25]Loïc Paulevé, Heinz Koeppl:
Preface. SASB 2014: 1-2 - 2013
- [c24]Pablo de Heras Ciechomski, Michael Klann, Robin Mange, Heinz Koeppl:
From biochemical reaction networks to 3D dynamics in the cell: The ZigCell3D modeling, simulation and visualisation framework. BioVis 2013: 41-48 - [c23]Loïc Paulevé, Geoffroy Andrieux
, Heinz Koeppl:
Under-Approximating Cut Sets for Reachability in Large Scale Automata Networks. CAV 2013: 69-84 - [c22]Michael Klann, Loïc Paulevé, Tatjana Petrov
, Heinz Koeppl:
Coarse-Grained Brownian Dynamics Simulation of Rule-Based Models. CMSB 2013: 64-77 - [c21]Tatjana Petrov, Heinz Koeppl:
Approximate model reductions for combinatorial reaction systems. ECC 2013: 4172-4177 - [c20]Christoph Zechner
, Soudeep Deb
, Heinz Koeppl:
Marginal dynamics of stochastic biochemical networks in random environments. ECC 2013: 4269-4274 - 2012
- [c19]Elias August, James Lu, Heinz Koeppl:
Trajectory enclosures for nonlinear systems with uncertain initial conditions and parameters. ACC 2012: 1488-1493 - [c18]Elias August, Gheorghe Craciun, Heinz Koeppl:
Finding invariant sets for biological systems using monomial domination. CDC 2012: 3001-3006 - [c17]Christoph Zechner
, Preetam Nandy, Michael Unger, Heinz Koeppl:
Optimal variational perturbations for the inference of stochastic reaction dynamics. CDC 2012: 5336-5341 - [c16]Tatjana Petrov
, Jérôme Feret, Heinz Koeppl:
Reconstructing species-based dynamics from reduced stochastic rule-based models. WSC 2012: 225:1-225:15 - 2011
- [c15]Elias August, Yongqiang Wang, Francis J. Doyle, James Lu, Heinz Koeppl:
Computationally implementable sufficient conditions for the synchronisation of coupled dynamical systems with time delays in the coupling. ACC 2011: 839-844 - [c14]Christoph Zechner
, Serge Pelet, Matthias Peter, Heinz Koeppl:
Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations. CDC/ECC 2011: 5837-5843 - [c13]Martin Falk
, Michael Ott, Thomas Ertl, Michael Klann, Heinz Koeppl:
Parallelized agent-based simulation on CPU and graphics hardware for spatial and stochastic models in biology. CMSB 2011: 73-82 - [c12]Vincent Danos, Heinz Koeppl, John Roger Wilson-Kanamori:
Cooperative Assembly Systems. DNA 2011: 1-20 - [c11]Tatjana Petrov
, Arnab Ganguly, Heinz Koeppl:
Model Decomposition and Stochastic Fragments. SASB 2011: 105-124 - 2010
- [c10]Heinz Koeppl, Gianluca Setti, Serge Pelet, Mauro Mangia
, Tatjana Petrov
, Matthias Peter:
Probability metrics to calibrate stochastic chemical kinetics. ISCAS 2010: 541-544 - [c9]Jérôme Feret, Thomas A. Henzinger, Heinz Koeppl, Tatjana Petrov
:
Lumpability Abstractions of Rule-based Systems. MeCBIC 2010: 142-161 - [c8]Heinz Koeppl, Tatjana Petrov
:
Stochastic Semantics of Signaling as a Composition of Agent-view Automata. SASB 2010: 3-17 - [c7]Ferdinanda Camporesi, Jérôme Feret, Heinz Koeppl, Tatjana Petrov
:
Combining Model Reductions. MFPS 2010: 73-96 - 2009
- [c6]Heinz Koeppl, Gianluca Setti:
Analysis and Design of Biological Circuits and Systems. ISCAS 2009: 297-300 - 2008
- [c5]Boris Murmann
, Christian Vogel, Heinz Koeppl:
Digitally enhanced analog circuits: System aspects. ISCAS 2008: 560-563 - 2007
- [c4]Heinz Koeppl:
The Composition Rule for Multivariate Volterra Operators and its Application to Circuit Analysis. ISCAS 2007: 441-444 - 2006
- [c3]Chao-Hui Huang, Heinz Koeppl, Chin-Teng Lin
:
A Bio-inspired Computer Fovea Model based on Hexagonal-type Cellular Neural Networks. IJCNN 2006: 5189-5195 - [c2]Heinz Koeppl:
Information Rate Maximization over a Resistive Grid. IJCNN 2006: 5196-5203 - 2004
- [c1]Heinz Koeppl, David Schwingshackl:
Comparison of discrete-time approximations for continuous-time nonlinear systems. ICASSP (2) 2004: 881-884
Editorship
- 2017
- [e2]Jérôme Feret, Heinz Koeppl:
Computational Methods in Systems Biology - 15th International Conference, CMSB 2017, Darmstadt, Germany, September 27-29, 2017, Proceedings. Lecture Notes in Computer Science 10545, Springer 2017, ISBN 978-3-319-67470-4 [contents] - 2015
- [e1]Loïc Paulevé, Heinz Koeppl:
5th International Workshop on Static Analysis and Systems Biology, SASB 2014, Munich, Germany, September 10, 2014. Electronic Notes in Theoretical Computer Science 316, Elsevier 2015 [contents]
Informal and Other Publications
- 2024
- [i81]Christian Fabian, Kai Cui
, Heinz Koeppl:
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. CoRR abs/2401.12686 (2024) - [i80]Yannick Eich, Bastian Alt, Heinz Koeppl:
Approximate Control for Continuous-Time POMDPs. CoRR abs/2402.01431 (2024) - [i79]Mengguang Li, Kai Cui
, Heinz Koeppl:
A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. CoRR abs/2402.01477 (2024) - [i78]Philipp Froehlich, Heinz Koeppl:
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism. CoRR abs/2402.07735 (2024) - [i77]Jiahao Wang, Sikun Yang, Heinz Koeppl, Xiuzhen Cheng, Pengfei Hu, Guoming Zhang:
Poisson-Gamma Dynamical Systems with Non-Stationary Transition Dynamics. CoRR abs/2402.16297 (2024) - [i76]Rui Huang, Sikun Yang, Heinz Koeppl:
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series. CoRR abs/2402.18995 (2024) - [i75]Sikun Yang, Heinz Koeppl:
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC. CoRR abs/2403.00044 (2024) - [i74]Maximilian Gehri, Nicolai Engelmann, Heinz Koeppl:
Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory. CoRR abs/2403.15221 (2024) - [i73]Sharif Azem, David Scheunert, Mengguang Li, Jonas Gehrunger, Kai Cui
, Christian Hochberger, Heinz Koeppl:
FPGA-Based Neural Thrust Controller for UAVs. CoRR abs/2403.18703 (2024) - [i72]Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. CoRR abs/2407.10691 (2024) - 2023
- [i71]Kai Cui
, Christian Fabian
, Heinz Koeppl:
Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties. CoRR abs/2303.10665 (2023) - [i70]Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf
:
Probabilistic inverse optimal control with local linearization for non-linear partially observable systems. CoRR abs/2303.16698 (2023) - [i69]Christoph Reich
, Tim Prangemeier, André O. Françani, Heinz Koeppl:
An Instance Segmentation Dataset of Yeast Cells in Microstructures. CoRR abs/2304.07597 (2023) - [i68]Kai Cui, Lars Baumgärtner, Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl:
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. CoRR abs/2307.02988 (2023) - [i67]Kai Cui
, Sascha Hauck, Christian Fabian, Heinz Koeppl:
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. CoRR abs/2307.06175 (2023) - [i66]Christoph Reich
, Tim Prangemeier, Heinz Koeppl:
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures. CoRR abs/2308.12116 (2023) - [i65]Bastian Alt, Heinz Koeppl:
Entropic Matching for Expectation Propagation of Markov Jump Processes. CoRR abs/2309.15604 (2023) - [i64]Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh, Kai Cui
, Mengguang Li, Heinz Koeppl:
Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. CoRR abs/2310.02726 (2023) - [i63]Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych:
A Survey of Language Model Confidence Estimation and Calibration. CoRR abs/2311.08298 (2023) - [i62]Jannis Weil, Gizem Ekinci, Heinz Koeppl, Tobias Meuser:
Learning to Cooperate and Communicate Over Imperfect Channels. CoRR abs/2311.14770 (2023) - [i61]Kai Cui
, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl:
Learning Discrete-Time Major-Minor Mean Field Games. CoRR abs/2312.10787 (2023) - [i60]Anam Tahir, Kai Cui
, Heinz Koeppl:
Sparse Mean Field Load Balancing in Large Localized Queueing Systems. CoRR abs/2312.12973 (2023) - [i59]Anam Tahir, Kai Cui
, Bastian Alt, Amr Rizk, Heinz Koeppl:
Collaborative Optimization of the Age of Information under Partial Observability. CoRR abs/2312.12977 (2023) - 2022
- [i58]Sharif Azem, Anam Tahir, Heinz Koeppl:
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. CoRR abs/2202.00919 (2022) - [i57]Sounak Kar, Bastian Alt, Heinz Koeppl, Amr Rizk:
PAQMAN: A Principled Approach to Active Queue Management. CoRR abs/2202.10352 (2022) - [i56]Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp:
Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. CoRR abs/2203.09590 (2022) - [i55]Kai Cui
, Wasiur R. KhudaBukhsh, Heinz Koeppl:
Hypergraphon Mean Field Games. CoRR abs/2203.16223 (2022) - [i54]Mark Sinzger-D'Angelo, Heinz Koeppl:
ACID: A Low Dimensional Characterization of Markov-Modulated and Self-Exciting Counting Processes. CoRR abs/2205.07011 (2022) - [i53]Lukas Köhs, Bastian Alt, Heinz Koeppl:
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems. CoRR abs/2205.08803 (2022) - [i52]Anam Tahir, Kai Cui
, Heinz Koeppl:
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. CoRR abs/2208.04777 (2022) - [i51]Jiekai Jia, Anam Tahir, Heinz Koeppl:
Decentralized Coordination in Partially Observable Queueing Networks. CoRR abs/2208.13621 (2022) - [i50]Kai Cui
, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl:
Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. CoRR abs/2209.03854 (2022) - [i49]Kai Cui
, Anam Tahir, Gizem Ekinci, Ahmed Elshamanhory, Yannick Eich, Mengguang Li, Heinz Koeppl:
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning. CoRR abs/2209.03859 (2022) - [i48]Christian Fabian
, Kai Cui
, Heinz Koeppl:
Learning Sparse Graphon Mean Field Games. CoRR abs/2209.03880 (2022) - [i47]Christian Fabian
, Kai Cui
, Heinz Koeppl:
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. CoRR abs/2209.03887 (2022) - [i46]Kai Cui
, Mengguang Li, Christian Fabian
, Heinz Koeppl:
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. CoRR abs/2209.07420 (2022) - [i45]Matthias Schultheis, Constantin A. Rothkopf
, Heinz Koeppl:
Reinforcement Learning with Non-Exponential Discounting. CoRR abs/2209.13413 (2022) - [i44]Ahmet Gokberk Gul, Özdemir Çetin, Christoph Reich, Tim Prangemeier, Nadine Flinner, Heinz Koeppl:
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels. CoRR abs/2210.09021 (2022) - [i43]Nicolai Engelmann
, Heinz Koeppl:
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains. CoRR abs/2210.09058 (2022) - 2021
- [i42]Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl:
Maximizing Information Gain for the Characterization of Biomolecular Circuits. CoRR abs/2101.02924 (2021) - [i41]Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. CoRR abs/2102.01585 (2021) - [i40]Christian Wildner
, Heinz Koeppl:
Moment-Based Variational Inference for Stochastic Differential Equations. CoRR abs/2103.00988 (2021) - [i39]Kai Cui, Anam Tahir
, Mark Sinzger, Heinz Koeppl:
Discrete-Time Mean Field Control with Environment States. CoRR abs/2104.14900 (2021) - [i38]Ramzi Ourari, Kai Cui, Heinz Koeppl:
Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning. CoRR abs/2104.14912 (2021) - [i37]Dominik Linzner, Heinz Koeppl:
Active Learning of Continuous-time Bayesian Networks through Interventions. CoRR abs/2105.14742 (2021) - [i36]Tim Prangemeier, Christoph Reich
, Christian Wildner, Heinz Koeppl:
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. CoRR abs/2106.08285 (2021) - [i35]Ion Gabriel Ion, Christian Wildner, Dimitrios Loukrezis, Heinz Koeppl, Herbert De Gersem:
Tensor-train approximation of the chemical master equation and its application for parameter inference. CoRR abs/2106.15188 (2021) - [i34]Anam Tahir
, Bastian Alt
, Amr Rizk, Heinz Koeppl:
Scheduling in Parallel Finite Buffer Systems: Optimal Decisions under Delayed Feedback. CoRR abs/2109.08548 (2021) - [i33]Lukas Köhs, Bastian Alt
, Heinz Koeppl:
Variational Inference for Continuous-Time Switching Dynamical Systems. CoRR abs/2109.14492 (2021) - [i32]Christoph Reich, Tim Prangemeier, Özdemir Çetin, Heinz Koeppl:
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data. CoRR abs/2110.10640 (2021) - [i31]Kai Cui, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. CoRR abs/2112.01280 (2021) - 2020
- [i30]Sikun Yang, Heinz Koeppl:
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. CoRR abs/2006.12952 (2020) - [i29]Nicolai Engelmann, Dominik Linzner, Heinz Koeppl:
Continuous-Time Bayesian Networks with Clocks. CoRR abs/2007.00347 (2020) - [i28]Nikita Kruk, José A. Carrillo, Heinz Koeppl:
A Finite Volume Method for Continuum Limit Equations of Nonlocally Interacting Active Chiral Particles. CoRR abs/2008.08493 (2020) - [i27]Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt
, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk:
On the Throughput Optimization in Large-Scale Batch-Processing Systems. CoRR abs/2009.09433 (2020) - [i26]Bastian Alt
, Matthias Schultheis, Heinz Koeppl:
POMDPs in Continuous Time and Discrete Spaces. CoRR abs/2010.01014 (2020) - [i25]Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl:
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CoRR abs/2011.08062 (2020) - [i24]Tim Prangemeier, Christoph Reich, Heinz Koeppl:
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. CoRR abs/2011.09763 (2020) - 2019
- [i23]Bastian Alt
, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk:
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming (Extended Version). CoRR abs/1901.05712 (2019) - [i22]Christian Wildner
, Heinz Koeppl:
Moment-Based Variational Inference for Markov Jump Processes. CoRR abs/1905.05451 (2019) - [i21]Dominik Linzner, Michael Schmidt, Heinz Koeppl:
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. CoRR abs/1909.04570 (2019) - [i20]Bastian Alt
, Adrian Sosic, Heinz Koeppl:
Correlation Priors for Reinforcement Learning. CoRR abs/1909.05106 (2019) - [i19]Dominik Linzner, Heinz Koeppl:
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes. CoRR abs/1912.01849 (2019) - [i18]François Fages, Katsumi Inoue, Heinz Koeppl, Chris Myers, Yoshihiro Shimizu:
Formal methods for the synthesis of biomolecular circuits (NII Shonan Meeting 157). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [i17]Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. CoRR abs/1803.00444 (2018) - [i16]Sikun Yang, Heinz Koeppl:
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks. CoRR abs/1805.11054 (2018) - [i15]Sikun Yang, Heinz Koeppl:
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. CoRR abs/1809.03566 (2018) - [i14]Dominik Linzner, Heinz Koeppl:
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. CoRR abs/1809.04294 (2018) - [i13]Wasiur R. KhudaBukhsh
, Julius Rückert, Julian Wulfheide, David Hausheer, Heinz Koeppl:
A Comprehensive Analysis of Swarming-based Live Streaming to Leverage Client Heterogeneity. CoRR abs/1812.11439 (2018) - [i12]Yaakov Benenson, Neil Dalchau, Heinz Koeppl, Oded Maler:
Formal Methods for the Synthesis of Biomolecular Circuits (Dagstuhl Seminar 18082). Dagstuhl Reports 8(2): 88-100 (2018) - 2017
- [i11]Wasiur R. KhudaBukhsh, Bastian Alt
, Sounak Kar, Amr Rizk, Heinz Koeppl:
Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies. CoRR abs/1712.04175 (2017) - 2016
- [i10]Adrian Sosic, Wasiur R. KhudaBukhsh, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning in Swarm Systems. CoRR abs/1602.05450 (2016) - [i9]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
A Bayesian Approach to Policy Recognition and State Representation Learning. CoRR abs/1605.01278 (2016) - [i8]Wasiur R. KhudaBukhsh, Amr Rizk, Alexander Frömmgen, Heinz Koeppl:
Optimizing Stochastic Scheduling in Fork-Join Queuing Models: Bounds and Applications. CoRR abs/1612.05486 (2016) - [i7]Wasiur R. KhudaBukhsh
, Sounak Kar, Amr Rizk, Heinz Koeppl:
A Generalized Performance Evaluation Framework for Parallel Systems with Output Synchronization. CoRR abs/1612.05543 (2016) - 2015
- [i6]Tobias Sutter
, Arnab Ganguly, Heinz Koeppl:
A variational approach to path estimation and parameter inference of hidden diffusion processes. CoRR abs/1508.00506 (2015) - [i5]Vincent Danos, Heinz Koeppl:
Self-assembly and Self-organization in Computer Science and Biology (Dagstuhl Seminar 15402). Dagstuhl Reports 5(9): 125-138 (2015) - 2013
- [i4]Loïc Paulevé, Gheorghe Craciun, Heinz Koeppl:
Dynamical Properties of Discrete Reaction Networks. CoRR abs/1302.3363 (2013) - [i3]Loïc Paulevé, Geoffroy Andrieux, Heinz Koeppl:
Under-approximating Cut Sets for Reachability in Large Scale Automata Networks. CoRR abs/1302.3365 (2013) - [i2]Arnab Ganguly, Tatjana Petrov, Heinz Koeppl:
Markov chain aggregation and its applications to combinatorial reaction networks. CoRR abs/1303.4532 (2013) - [i1]Bernhard C. Geiger, Tatjana Petrov, Gernot Kubin, Heinz Koeppl:
Optimal Kullback-Leibler Aggregation via Information Bottleneck. CoRR abs/1304.6603 (2013)
Coauthor Index
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last updated on 2024-08-16 19:24 CEST by the dblp team
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