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Heinz Köppl
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2020 – today
- 2024
[j41]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)- [j40]Douglas A. Lauffenburger, Heinz Koeppl:
New biological solutions to the many problems of our time. Autom. 72(7): 585-588 (2024) - [j39]Mark Sinzger-D'Angelo
, Jan Hasenauer, Heinz Koeppl:
Hawkes Process Modelling for Chemical Reaction Networks in a Random Environment. SIAM J. Appl. Dyn. Syst. 23(3): 2444-2488 (2024) - [c98]Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl:
Learning Discrete-Time Major-Minor Mean Field Games. AAAI 2024: 9616-9625 - [c97]Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. ACL (Findings) 2024: 5571-5597 - [c96]Yannick Eich, Bastian Alt, Heinz Koeppl:
Approximate Control for Continuous-Time POMDPs. AISTATS 2024: 3160-3168 - [c95]Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. EMNLP 2024: 10369-10391 - [c94]Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl:
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. ICLR 2024 - [c93]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. ICLR 2024 - [c92]Kai Cui, Christian Fabian, Anam Tahir, Heinz Koeppl:
Major-Minor Mean Field Multi-Agent Reinforcement Learning. ICML 2024 - [c91]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. ICRA 2024: 8401-8407 - [c90]Mengguang Li, Kai Cui, Heinz Koeppl:
A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. ICRA 2024: 8408-8414 - [c89]Rui Huang, Sikun Yang, Heinz Koeppl:
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences. IJCAI 2024: 4174-4182 - [c88]Maximilian Gehri, Nicolai Engelmann, Heinz Koeppl:
Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory. ISIT 2024: 1931-1936 - [c87]Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych:
A Survey of Confidence Estimation and Calibration in Large Language Models. NAACL-HLT 2024: 6577-6595 - [c86]Anam Tahir, Kai Cui, Bastian Alt, Amr Rizk, Heinz Koeppl:
Collaborative Optimization of the Age of Information Under Partial Observability. IFIP Networking 2024: 555-561 - [i83]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. CoRR abs/2401.12686 (2024) - [i82]Yannick Eich, Bastian Alt, Heinz Koeppl:
Approximate Control for Continuous-Time POMDPs. CoRR abs/2402.01431 (2024) - [i81]Mengguang Li, Kai Cui, Heinz Koeppl:
A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. CoRR abs/2402.01477 (2024) - [i80]Philipp Froehlich, Heinz Koeppl:
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism. CoRR abs/2402.07735 (2024) - [i79]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) - [i78]Rui Huang, Sikun Yang, Heinz Koeppl:
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series. CoRR abs/2402.18995 (2024) - [i77]Sikun Yang, Heinz Koeppl:
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC. CoRR abs/2403.00044 (2024) - [i76]Maximilian Gehri, Nicolai Engelmann, Heinz Koeppl:
Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory. CoRR abs/2403.15221 (2024) - [i75]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) - [i74]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) - [i73]Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. CoRR abs/2407.12512 (2024) - [i72]Mohammad Javad Salariseddigh, Heinz Koeppl, Holger Boche, Vahid Jamali:
Identification over Affine Poisson Channels: Applications to Molecular Mixture Communication Systems. CoRR abs/2410.11569 (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) - [c85]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 - [c84]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Sparse Graphon Mean Field Games. AISTATS 2023: 4486-4514 - [c83]Özdemir Çetin, Junming Lai, Paul Ziegler, Peter Wild, Gamze Dogali, Heinz Koeppl:
Keypoint-Driven Unsupervised Learning for Histopathology Image Registration. BIBM 2023: 3514-3520 - [c82]Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl:
An Instance Segmentation Dataset of Yeast Cells in Microstructures. EMBC 2023: 1-4 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]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 - [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
- [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) - [c76]Özdemir Çetin, Mingzhi Chen, Paul Ziegler, Peter Wild, Heinz Koeppl:
Deep learning-based restaining of histopathological images. BIBM 2022: 1467-1474 - [c75]Sharif Azem, Anam Tahir, Heinz Koeppl:
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. CCNC 2022: 1-6 - [c74]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 - [c73]Jiekai Jia, Anam Tahir, Heinz Koeppl:
Decentralized Coordination in Partially Observable Queueing Networks. GLOBECOM 2022: 1491-1496 - [c72]Kai Cui, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. ICLR 2022 - [c71]Lukas Köhs, Bastian Alt, Heinz Koeppl:
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems. ICML 2022: 11430-11454 - [c70]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 - [c69]Ramzi Ourari, Kai Cui, Ahmed Elshamanhory, Heinz Koeppl:
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning. ICRA 2022: 293-300 - [c68]Ahmet Gokberk Gul, Özdemir Çetin, Christoph Reich, Nadine Flinner, Tim Prangemeier, Heinz Koeppl:
Histopathological image classification based on self-supervised vision transformer and weak labels. Digital and Computational Pathology 2022 - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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) - [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 - [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
- [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 - [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] - [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
- [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) - [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 - [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
- [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) - [c26]Arnab Ganguly, Derya Altintan, Heinz Koeppl:
Error bound and simulation algorithm for piecewise deterministic approximations of stochastic reaction systems. ACC 2015: 787-792 - [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] - [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) - 2014
- [j13]Christoph Zechner, Heinz Koeppl:
Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments. PLoS Comput. Biol. 10(12) (2014) - [c25]Loïc Paulevé, Heinz Koeppl:
Preface. SASB 2014: 1-2 - 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) - [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 - [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) - 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) - [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
2000 – 2009
- 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) - [c6]Heinz Koeppl, Gianluca Setti:
Analysis and Design of Biological Circuits and Systems. ISCAS 2009: 297-300 - 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) - [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
- [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) - [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
- [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) - [c1]Heinz Koeppl, David Schwingshackl:
Comparison of discrete-time approximations for continuous-time nonlinear systems. ICASSP (2) 2004: 881-884
Coauthor Index
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