Heinz Koeppl - RankMe

236 papers A* 35A 8B 14C 10Misc 2Journal 131Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximately Solving Continuous-Time Mean Field Games with Finite State Spaces. CoRR Yannick Eich, Christian Fabian, Kai Cui, Heinz Koeppl
2026	J	`jnl`	Downwash-aware Configuration Optimization for Modular Aerial Systems. CoRR Mengguang Li, Heinz Koeppl
2026	J	`jnl`	Learning Optimal Crowd Evacuation from Scratch Through Self-Play. Adv. Intell. Syst. Mahdi Nasiri, Malte Cordts, Heinz Koeppl, Benno Liebchen
2025	A*	`conf`	Bounded Rationality Equilibrium Learning in Mean Field Games. AAAI Yannick Eich, Christian Fabian, Kai Cui, Heinz Koeppl
2025	J	`jnl`	CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval. CoRR Jiahui Geng, Fengyu Cai, Shaobo Cui, Qing Li, Liangwei Chen, Chenyang Lyu, Haonan Li, Derui Zhu, Walter Pretschner, Heinz Koeppl, Fakhri Karray
2025	A	`conf`	Entropic Matching for Expectation Propagation of Markov Jump Processes. AISTATS Yannick Eich, Bastian Alt, Heinz Koeppl
2025	B	`conf`	Identification over Affine Poisson Channels: Application to Molecular Mixture Communication Systems. ITW Mohammad Javad Salariseddigh, Heinz Koeppl, Holger Boche, Vahid Jamali
2025	A*	`conf`	Learning Mean Field Control on Sparse Graphs. ICML Christian Fabian, Kai Cui, Heinz Koeppl
2025	J	`jnl`	Learning Mean Field Control on Sparse Graphs. CoRR Christian Fabian, Kai Cui, Heinz Koeppl
2025	J	`jnl`	Mean-Field RL for Large-Scale Unit-Capacity Pickup-and-Delivery Problems. Trans. Mach. Learn. Res. Kai Cui, Sharif Azem, Christian Fabian, Kirill Kuroptev, Ramin Khalili, Osama Abboud, Florian Steinke, Heinz Koeppl
2025	J	`jnl`	Revela: Dense Retriever Learning via Language Modeling. CoRR Fengyu Cai, Tong Chen, Xinran Zhao, Sihao Chen, Hongming Zhang, Sherry Tongshuang Wu, Iryna Gurevych, Heinz Koeppl
2024	A*	`conf`	A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. ICRA Mengguang Li, Kai Cui, Heinz Koeppl
2024	J	`jnl`	A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. CoRR Mengguang Li, Kai Cui, Heinz Koeppl
2024	—	`conf`	A Survey of Confidence Estimation and Calibration in Large Language Models. NAACL-HLT Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych
2024	A	`conf`	Approximate Control for Continuous-Time POMDPs. AISTATS Yannick Eich, Bastian Alt, Heinz Koeppl
2024	J	`jnl`	Approximate Control for Continuous-Time POMDPs. CoRR Yannick Eich, Bastian Alt, Heinz Koeppl
2024	J	`jnl`	Biological engineering - an engineering discipline crucial to the future of our civilization. Autom. Jürgen Adamy, Ulrike A. Nuber, Heinz Koeppl, Georg Bretthauer
2024	J	`jnl`	Bounded Rationality Equilibrium Learning in Mean Field Games. CoRR Yannick Eich, Christian Fabian, Kai Cui, Heinz Koeppl
2024	B	`conf`	Collaborative Optimization of the Age of Information Under Partial Observability. IFIP Networking Anam Tahir, Kai Cui, Bastian Alt, Amr Rizk, Heinz Koeppl
2024	J	`jnl`	FPGA-Based Neural Thrust Controller for UAVs. CoRR Sharif Azem, David Scheunert, Mengguang Li, Jonas Gehrunger, Kai Cui, Christian Hochberger, Heinz Koeppl
2024	—	`conf`	GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. ACL (Findings) Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl
2024	J	`jnl`	GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. CoRR Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl
2024	J	`jnl`	Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism. CoRR Philipp Froehlich, Heinz Koeppl
2024	A*	`conf`	Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention. NeurIPS Philipp Froehlich, Heinz Koeppl
2024	J	`jnl`	Hawkes Process Modelling for Chemical Reaction Networks in a Random Environment. SIAM J. Appl. Dyn. Syst. Mark Sinzger-D'Angelo, Jan Hasenauer, Heinz Koeppl
2024	J	`jnl`	Identification over Affine Poisson Channels: Applications to Molecular Mixture Communication Systems. CoRR Mohammad Javad Salariseddigh, Heinz Koeppl, Holger Boche, Vahid Jamali
2024	A*	`conf`	Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. ICLR Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl
2024	A*	`conf`	Learning Discrete-Time Major-Minor Mean Field Games. AAAI Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
2024	A*	`conf`	Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. ICLR Christian Fabian, Kai Cui, Heinz Koeppl
2024	J	`jnl`	Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. CoRR Christian Fabian, Kai Cui, Heinz Koeppl
2024	A*	`conf`	Major-Minor Mean Field Multi-Agent Reinforcement Learning. ICML Kai Cui, Christian Fabian, Anam Tahir, Heinz Koeppl
2024	A*	`conf`	MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. EMNLP Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl
2024	J	`jnl`	MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. CoRR Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl
2024	B	`conf`	Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory. ISIT Maximilian Gehri, Nicolai Engelmann, Heinz Koeppl
2024	J	`jnl`	Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory. CoRR Maximilian Gehri, Nicolai Engelmann, Heinz Koeppl
2024	A*	`conf`	Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences. IJCAI Rui Huang, Sikun Yang, Heinz Koeppl
2024	J	`jnl`	Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series. CoRR Rui Huang, Sikun Yang, Heinz Koeppl
2024	J	`jnl`	New biological solutions to the many problems of our time. Autom. Douglas A. Lauffenburger, Heinz Koeppl
2024	A*	`conf`	Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. ICRA Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh, Kai Cui, Mengguang Li, Heinz Koeppl
2024	J	`jnl`	Poisson-Gamma Dynamical Systems with Non-Stationary Transition Dynamics. CoRR Jiahao Wang, Sikun Yang, Heinz Koeppl, Xiuzhen Cheng, Pengfei Hu, Guoming Zhang
2024	J	`jnl`	Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC. CoRR Sikun Yang, Heinz Koeppl
2023	J	`jnl`	A Survey of Language Model Confidence Estimation and Calibration. CoRR Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych
2023	—	`conf`	An Instance Segmentation Dataset of Yeast Cells in Microstructures. EMBC Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl
2023	J	`jnl`	An Instance Segmentation Dataset of Yeast Cells in Microstructures. CoRR Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl
2023	J	`jnl`	Collaborative Optimization of the Age of Information under Partial Observability. CoRR Anam Tahir, Kai Cui, Bastian Alt, Amr Rizk, Heinz Koeppl
2023	J	`jnl`	Counting Processes With Piecewise-Deterministic Markov Conditional Intensity: Asymptotic Analysis, Implementation, and Information-Theoretic Use. IEEE Trans. Inf. Theory Mark Sinzger-D'Angelo, Heinz Koeppl
2023	—	`conf`	ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. ACL (Findings) Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp
2023	J	`jnl`	Entropic Matching for Expectation Propagation of Markov Jump Processes. CoRR Bastian Alt, Heinz Koeppl
2023	—	`conf`	Keypoint-Driven Unsupervised Learning for Histopathology Image Registration. BIBM Özdemir Çetin, Junming Lai, Paul Ziegler, Peter Wild, Gamze Dogali, Heinz Koeppl
2023	J	`jnl`	Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. CoRR Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl
2023	J	`jnl`	Learning Discrete-Time Major-Minor Mean Field Games. CoRR Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
2023	A	`conf`	Learning Sparse Graphon Mean Field Games. AISTATS Christian Fabian, Kai Cui, Heinz Koeppl
2023	J	`jnl`	Learning to Cooperate and Communicate Over Imperfect Channels. CoRR Jannis Weil, Gizem Ekinci, Heinz Koeppl, Tobias Meuser
2023	J	`jnl`	Load Balancing in Compute Clusters With Delayed Feedback. IEEE Trans. Computers Anam Tahir, Bastian Alt, Amr Rizk, Heinz Koeppl
2023	J	`jnl`	Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. IEEE Control. Syst. Lett. Christian Fabian, Kai Cui, Heinz Koeppl
2023	B	`conf`	Modeling Quality of Experience for Compressed Point Cloud Sequences based on a Subjective Study. QoMEX Jannis Weil, Yassin Alkhalili, Anam Tahir, Thomas Gruczyk, Tobias Meuser, Mu Mu, Heinz Koeppl, Andreas Mauthe
2023	J	`jnl`	Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties. CoRR Kai Cui, Christian Fabian, Heinz Koeppl
2023	J	`jnl`	Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. CoRR Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh, Kai Cui, Mengguang Li, Heinz Koeppl
2023	A*	`conf`	Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs. NeurIPS Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf
2023	J	`jnl`	Probabilistic inverse optimal control with local linearization for non-linear partially observable systems. CoRR Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf
2023	A*	`conf`	Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. ICRA Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl
2023	J	`jnl`	Sparse Mean Field Load Balancing in Large Localized Queueing Systems. CoRR Anam Tahir, Kai Cui, Heinz Koeppl
2023	—	`conf`	The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures. ICCV (Workshops) Christoph Reich, Tim Prangemeier, Heinz Koeppl
2023	J	`jnl`	The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures. CoRR Christoph Reich, Tim Prangemeier, Heinz Koeppl
2023	B	`conf`	UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. LCN Kai Cui, Lars Baumgärtner, Mustafa Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl
2023	J	`jnl`	UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. CoRR Kai Cui, Lars Baumgärtner, Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl
2022	J	`jnl`	A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning. CoRR Kai Cui, Anam Tahir, Gizem Ekinci, Ahmed Elshamanhory, Yannick Eich, Mengguang Li, Heinz Koeppl
2022	J	`jnl`	ACID: A Low Dimensional Characterization of Markov-Modulated and Self-Exciting Counting Processes. CoRR Mark Sinzger-D'Angelo, Heinz Koeppl
2022	B	`conf`	Decentralized Coordination in Partially Observable Queueing Networks. GLOBECOM Jiekai Jia, Anam Tahir, Heinz Koeppl
2022	J	`jnl`	Decentralized Coordination in Partially Observable Queueing Networks. CoRR Jiekai Jia, Anam Tahir, Heinz Koeppl
2022	—	`conf`	Deep learning-based restaining of histopathological images. BIBM Özdemir Çetin, Mingzhi Chen, Paul Ziegler, Peter Wild, Heinz Koeppl
2022	—	`conf`	Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. CCNC Sharif Azem, Anam Tahir, Heinz Koeppl
2022	J	`jnl`	Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. CoRR Sharif Azem, Anam Tahir, Heinz Koeppl
2022	A*	`conf`	Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains. NeurIPS Nicolai Engelmann, Heinz Koeppl
2022	J	`jnl`	Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains. CoRR Nicolai Engelmann, Heinz Koeppl
2022	J	`jnl`	Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels. CoRR Ahmet Gokberk Gul, Özdemir Çetin, Christoph Reich, Tim Prangemeier, Nadine Flinner, Heinz Koeppl
2022	—	`conf`	Histopathological image classification based on self-supervised vision transformer and weak labels. Digital and Computational Pathology Ahmet Gokberk Gul, Özdemir Çetin, Christoph Reich, Nadine Flinner, Tim Prangemeier, Heinz Koeppl
2022	J	`jnl`	Hypergraphon Mean Field Games. CoRR Kai Cui, Wasiur R. KhudaBukhsh, Heinz Koeppl
2022	A*	`conf`	Learning Graphon Mean Field Games and Approximate Nash Equilibria. ICLR Kai Cui, Heinz Koeppl
2022	B	`conf`	Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. ICPP Anam Tahir, Kai Cui, Heinz Koeppl
2022	J	`jnl`	Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. CoRR Anam Tahir, Kai Cui, Heinz Koeppl
2022	J	`jnl`	Learning Sparse Graphon Mean Field Games. CoRR Christian Fabian, Kai Cui, Heinz Koeppl
2022	A*	`conf`	Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems. ICML Lukas Köhs, Bastian Alt, Heinz Koeppl
2022	J	`jnl`	Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems. CoRR Lukas Köhs, Bastian Alt, Heinz Koeppl
2022	J	`jnl`	Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. CoRR Christian Fabian, Kai Cui, Heinz Koeppl
2022	—	`conf`	Multi-magnification Networks for Deformable Image Registration on Histopathology Images. WBIR Özdemir Çetin, Yiran Shu, Nadine Flinner, Paul Ziegler, Peter Wild, Heinz Koeppl
2022	A*	`conf`	Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning. ICRA Ramzi Ourari, Kai Cui, Ahmed Elshamanhory, Heinz Koeppl
2022	B	`conf`	Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. GLOBECOM Kai Cui, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl
2022	J	`jnl`	Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. CoRR Kai Cui, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl
2022	J	`jnl`	PAQMAN: A Principled Approach to Active Queue Management. CoRR Sounak Kar, Bastian Alt, Heinz Koeppl, Amr Rizk
2022	A*	`conf`	Reinforcement Learning with Non-Exponential Discounting. NeurIPS Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl
2022	J	`jnl`	Reinforcement Learning with Non-Exponential Discounting. CoRR Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl
2022	J	`jnl`	Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. CoRR Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl
2022	J	`jnl`	Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. Yassin Alkhalili, Jannis Weil, Anam Tahir, Tobias Meuser, Boris Koldehofe, Andreas Mauthe, Heinz Koeppl, Ralf Steinmetz
2022	J	`jnl`	Yeast cell segmentation in microstructured environments with deep learning. Biosyst. Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
2021	J	`jnl`	A finite volume method for continuum limit equations of nonlocally interacting active chiral particles. J. Comput. Phys. Nikita Kruk, José A. Carrillo, Heinz Koeppl
2021	A*	`conf`	Active Learning of Continuous-time Bayesian Networks through Interventions. ICML Dominik Linzner, Heinz Koeppl
2021	J	`jnl`	Active Learning of Continuous-time Bayesian Networks through Interventions. CoRR Dominik Linzner, Heinz Koeppl
2021	A	`conf`	Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. AISTATS Kai Cui, Heinz Koeppl
2021	J	`jnl`	Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. CoRR Kai Cui, Heinz Koeppl
2021	J	`jnl`	Daily Routine Recognition for Hearing Aid Personalization. SN Comput. Sci. Thomas Kuebert, Henning Puder, Heinz Koeppl
2021	J	`jnl`	Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning. CoRR Ramzi Ourari, Kai Cui, Heinz Koeppl
2021	—	`conf`	Discrete-Time Mean Field Control with Environment States. CDC Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl
2021	J	`jnl`	Discrete-Time Mean Field Control with Environment States. CoRR Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl
2021	J	`jnl`	Improving Daily Routine Recognition in Hearing Aids Using Sequence Learning. IEEE Access Thomas Kuebert, Henning Puder, Heinz Koeppl
2021	J	`jnl`	Learning Graphon Mean Field Games and Approximate Nash Equilibria. CoRR Kai Cui, Heinz Koeppl
2021	J	`jnl`	Maximizing Information Gain for the Characterization of Biomolecular Circuits. CoRR Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl
2021	A	`conf`	Moment-Based Variational Inference for Stochastic Differential Equations. AISTATS Christian Wildner, Heinz Koeppl
2021	J	`jnl`	Moment-Based Variational Inference for Stochastic Differential Equations. CoRR Christian Wildner, Heinz Koeppl
2021	—	`conf`	Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. MICCAI (8) Christoph Reich, Tim Prangemeier, Christian Wildner, Heinz Koeppl
2021	J	`jnl`	Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. CoRR Tim Prangemeier, Christoph Reich, Christian Wildner, Heinz Koeppl
2021	A	`conf`	OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data. BMVC Christoph Reich, Tim Prangemeier, Özdemir Çetin, Heinz Koeppl
2021	J	`jnl`	OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data. CoRR Christoph Reich, Tim Prangemeier, Özdemir Çetin, Heinz Koeppl
2021	J	`jnl`	Scheduling in Parallel Finite Buffer Systems: Optimal Decisions under Delayed Feedback. CoRR Anam Tahir, Bastian Alt, Amr Rizk, Heinz Koeppl
2021	J	`jnl`	Tensor-train approximation of the chemical master equation and its application for parameter inference. CoRR Ion Gabriel Ion, Christian Wildner, Dimitrios Loukrezis, Heinz Koeppl, Herbert De Gersem
2021	A*	`conf`	Variational Inference for Continuous-Time Switching Dynamical Systems. NeurIPS Lukas Köhs, Bastian Alt, Heinz Koeppl
2021	J	`jnl`	Variational Inference for Continuous-Time Switching Dynamical Systems. CoRR Lukas Köhs, Bastian Alt, Heinz Koeppl
2020	J	`jnl`	A Finite Volume Method for Continuum Limit Equations of Nonlocally Interacting Active Chiral Particles. CoRR Nikita Kruk, José A. Carrillo, Heinz Koeppl
2020	A*	`conf`	A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes. AAAI Dominik Linzner, Heinz Koeppl
2020	—	`conf`	Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. BIBM Tim Prangemeier, Christoph Reich, Heinz Koeppl
2020	J	`jnl`	Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. CoRR Tim Prangemeier, Christoph Reich, Heinz Koeppl
2020	A*	`conf`	Continuous Time Bayesian Networks with Clocks. ICML Nicolai Engelmann, Dominik Linzner, Heinz Koeppl
2020	J	`jnl`	Continuous-Time Bayesian Networks with Clocks. CoRR Nicolai Engelmann, Dominik Linzner, Heinz Koeppl
2020	J	`jnl`	Generalized Cost-Based Job Scheduling in Very Large Heterogeneous Cluster Systems. IEEE Trans. Parallel Distributed Syst. Wasiur R. KhudaBukhsh, Sounak Kar, Bastian Alt, Amr Rizk, Heinz Koeppl
2020	C	`conf`	Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CIBCB Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
2020	J	`jnl`	Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CoRR Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
2020	J	`jnl`	On the Throughput Optimization in Large-Scale Batch-Processing Systems. CoRR Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk
2020	J	`jnl`	On the Throughput Optimization in Large-Scale Batch-Processing Systems. SIGMETRICS Perform. Evaluation Rev. Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk
2020	J	`jnl`	On the Throughput Optimization in Large-scale Batch-processing Systems. Perform. Evaluation Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk
2020	A*	`conf`	POMDPs in Continuous Time and Discrete Spaces. NeurIPS Bastian Alt, Matthias Schultheis, Heinz Koeppl
2020	J	`jnl`	POMDPs in Continuous Time and Discrete Spaces. CoRR Bastian Alt, Matthias Schultheis, Heinz Koeppl
2020	B	`conf`	Poisson channel with binary Markov input and average sojourn time constraint. ISIT Mark Sinzger, Maximilian Gehri, Heinz Koeppl
2020	A	`conf`	The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. UAI Sikun Yang, Heinz Koeppl
2020	J	`jnl`	The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. CoRR Sikun Yang, Heinz Koeppl
2019	J	`jnl`	A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes. CoRR Dominik Linzner, Heinz Koeppl
2019	J	`jnl`	Approximate lumpability for Markovian agent-based models using local symmetries. J. Appl. Probab. Wasiur R. KhudaBukhsh, Arnab Auddy, Yann Disser, Heinz Koeppl
2019	J	`jnl`	CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming (Extended Version). CoRR Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk
2019	A*	`conf`	CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming. INFOCOM Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk
2019	A*	`conf`	Correlation Priors for Reinforcement Learning. NeurIPS Bastian Alt, Adrian Sosic, Heinz Koeppl
2019	J	`jnl`	Correlation Priors for Reinforcement Learning. CoRR Bastian Alt, Adrian Sosic, Heinz Koeppl
2019	—	`conf`	Daily Routine Recognition with Visual Interactive Labeling by Fusing Acceleration and Audio Signals. ISSPIT Thomas Kuebert, Henning Puder, Heinz Koeppl
2019	J	`jnl`	Editorial. IEEE ACM Trans. Comput. Biol. Bioinform. Jérôme Feret, Heinz Koeppl
2019	J	`jnl`	Formal methods for the synthesis of biomolecular circuits (NII Shonan Meeting 157). NII Shonan Meet. Rep. François Fages, Katsumi Inoue, Heinz Koeppl, Chris Myers, Yoshihiro Shimizu
2019	J	`jnl`	Inferring gene expression networks with hubs using a degree weighted Lasso approach. Bioinform. Nurgazy Sulaimanov, Sunil Kumar, Frédéric Burdet, Mark Ibberson, Marco Pagni, Heinz Koeppl
2019	A*	`conf`	Moment-Based Variational Inference for Markov Jump Processes. ICML Christian Wildner, Heinz Koeppl
2019	J	`jnl`	Moment-Based Variational Inference for Markov Jump Processes. CoRR Christian Wildner, Heinz Koeppl
2019	J	`jnl`	Provisioning and Performance Evaluation of Parallel Systems with Output Synchronization. ACM Trans. Model. Perform. Evaluation Comput. Syst. Wasiur R. KhudaBukhsh, Sounak Kar, Amr Rizk, Heinz Koeppl
2019	A*	`conf`	Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS Dominik Linzner, Michael Schmidt, Heinz Koeppl
2019	J	`jnl`	Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. CoRR Dominik Linzner, Michael Schmidt, Heinz Koeppl
2019	J	`jnl`	Transitions: A Protocol-Independent View of the Future Internet. Proc. IEEE 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
2018	J	`jnl`	A Bayesian Approach to Policy Recognition and State Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl
2018	J	`jnl`	A Comprehensive Analysis of Swarming-based Live Streaming to Leverage Client Heterogeneity. CoRR Wasiur R. KhudaBukhsh, Julius Rückert, Julian Wulfheide, David Hausheer, Heinz Koeppl
2018	A*	`conf`	A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks. AAAI Sikun Yang, Heinz Koeppl
2018	J	`jnl`	A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks. CoRR Sikun Yang, Heinz Koeppl
2018	A*	`conf`	Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS Dominik Linzner, Heinz Koeppl
2018	J	`jnl`	Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. CoRR Dominik Linzner, Heinz Koeppl
2018	A*	`conf`	Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies. INFOCOM Wasiur R. KhudaBukhsh, Bastian Alt, Sounak Kar, Amr Rizk, Heinz Koeppl
2018	A*	`conf`	Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. ICDM Sikun Yang, Heinz Koeppl
2018	J	`jnl`	Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. CoRR Sikun Yang, Heinz Koeppl
2018	J	`jnl`	Correction to: Reinforcement learning in a continuum of agents. Swarm Intell. Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl
2018	A*	`conf`	Dependent Relational Gamma Process Models for Longitudinal Networks. ICML Sikun Yang, Heinz Koeppl
2018	J	`jnl`	Formal Methods for the Synthesis of Biomolecular Circuits (Dagstuhl Seminar 18082). Dagstuhl Reports Yaakov Benenson, Neil Dalchau, Heinz Koeppl, Oded Maler
2018	J	`jnl`	Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. CoRR Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl
2018	J	`jnl`	Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. J. Mach. Learn. Res. Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl
2018	—	`conf`	Inverse Reinforcement Learning via Nonparametric Subgoal Modeling. AAAI Spring Symposia Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl
2018	—	`conf`	Maximizing information gain for the characterization of biomolecular circuits. NANOCOM Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl
2018	—	`conf`	Network Reconstruction From Time-Course Perturbation Data Using Multivariate Gaussian Processes. MLSP Sara Al-Sayed, Heinz Koeppl
2018	—	`conf`	Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains. SSP Bastian Alt, Michael Messer, Jochen Roeper, Gaby Schneider, Heinz Koeppl
2018	J	`jnl`	Reinforcement learning in a continuum of agents. Swarm Intell. Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl
2017	J	`jnl`	Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies. CoRR Wasiur R. KhudaBukhsh, Bastian Alt, Sounak Kar, Amr Rizk, Heinz Koeppl
2017	—	`ed.`	Computational Methods in Systems Biology - 15th International Conference, CMSB 2017, Darmstadt, Germany, September 27-29, 2017, Proceedings CMSB Jérôme Feret, Heinz Koeppl
2017	—	`conf`	Cross-Layer QoE-Based Incentive Mechanism for Video Streaming in Multi-Hop Wireless Networks. VTC Fall Mahdi Mousavi, Hussein Al-Shatri, Wasiur R. KhudaBukhsh, Heinz Koeppl, Anja Klein
2017	A	`conf`	Inverse Reinforcement Learning in Swarm Systems. AAMAS Adrian Sosic, Wasiur R. KhudaBukhsh, Abdelhak M. Zoubir, Heinz Koeppl
2017	A*	`conf`	Optimizing stochastic scheduling in fork-join queueing models: Bounds and applications. INFOCOM Wasiur R. KhudaBukhsh, Amr Rizk, Alexander Frömmgen, Heinz Koeppl
2016	J	`jnl`	A Bayesian Approach to Policy Recognition and State Representation Learning. CoRR Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl
2016	J	`jnl`	A Generalized Performance Evaluation Framework for Parallel Systems with Output Synchronization. CoRR Wasiur R. KhudaBukhsh, Sounak Kar, Amr Rizk, Heinz Koeppl
2016	J	`jnl`	A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes. J. Mach. Learn. Res. Tobias Sutter, Arnab Ganguly, Heinz Koeppl
2016	—	`conf`	A diagram technique for cumulant equations in biomolecular reaction networks with mass-action kinetics. CDC Leo Bronstein, Heinz Koeppl
2016	B	`conf`	Analysing and leveraging client heterogeneity in swarming-based live streaming. Networking Wasiur R. KhudaBukhsh, Julius Rückert, Julian Wulfheide, David Hausheer, Heinz Koeppl
2016	C	`conf`	Efficient simulation of multiscale reaction networks: A multilevel partitioning approach. ACC Derya Altintan, Arnab Ganguly, Heinz Koeppl
2016	C	`conf`	Enabling crowdsourced live event coverage with adaptive collaborative upload strategies. WoWMoM Björn Richerzhagen, Julian Wulfheide, Heinz Koeppl, Andreas Mauthe, Klara Nahrstedt, Ralf Steinmetz
2016	J	`jnl`	Graph reconstruction using covariance-based methods. EURASIP J. Bioinform. Syst. Biol. Nurgazy Sulaimanov, Heinz Koeppl
2016	J	`jnl`	Inverse Reinforcement Learning in Swarm Systems. CoRR Adrian Sosic, Wasiur R. KhudaBukhsh, Abdelhak M. Zoubir, Heinz Koeppl
2016	A*	`conf`	Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations. AAAI Lukas Studer, Loïc Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl
2016	J	`jnl`	Optimizing Stochastic Scheduling in Fork-Join Queuing Models: Bounds and Applications. CoRR Wasiur R. KhudaBukhsh, Amr Rizk, Alexander Frömmgen, Heinz Koeppl
2016	Misc	`conf`	Policy recognition via expectation maximization. ICASSP Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl
2016	—	`conf`	Scalable inference using PMCMC and parallel tempering for high-throughput measurements of biomolecular reaction networks. CDC Leo Bronstein, Heinz Koeppl
2015	—	`ed.`	5th International Workshop on Static Analysis and Systems Biology, SASB 2014, Munich, Germany, September 10, 2014 SASB Loïc Paulevé, Heinz Koeppl
2015	J	`jnl`	A variational approach to path estimation and parameter inference of hidden diffusion processes. CoRR Tobias Sutter, Arnab Ganguly, Heinz Koeppl
2015	J	`jnl`	Almost sure stability and stabilization of discrete-time stochastic systems. Syst. Control. Lett. Lirong Huang, Håkan Hjalmarsson, Heinz Koeppl
2015	C	`conf`	Error bound and simulation algorithm for piecewise deterministic approximations of stochastic reaction systems. ACC Arnab Ganguly, Derya Altintan, Heinz Koeppl
2015	J	`jnl`	Jump-Diffusion Approximation of Stochastic Reaction Dynamics: Error Bounds and Algorithms. Multiscale Model. Simul. Arnab Ganguly, Derya Altintan, Heinz Koeppl
2015	J	`jnl`	Optimal Kullback-Leibler Aggregation via Information Bottleneck. IEEE Trans. Autom. Control. Bernhard C. Geiger, Tatjana Petrov, Gernot Kubin, Heinz Koeppl
2015	J	`jnl`	Self-assembly and Self-organization in Computer Science and Biology (Dagstuhl Seminar 15402). Dagstuhl Reports Vincent Danos, Heinz Koeppl
2014	—	`conf`	Preface. SASB Loïc Paulevé, Heinz Koeppl
2014	J	`jnl`	Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments. PLoS Comput. Biol. Christoph Zechner, Heinz Koeppl
2013	—	`conf`	Approximate model reductions for combinatorial reaction systems. ECC Tatjana Petrov, Heinz Koeppl
2013	—	`conf`	Coarse-Grained Brownian Dynamics Simulation of Rule-Based Models. CMSB Michael Klann, Loïc Paulevé, Tatjana Petrov, Heinz Koeppl
2013	J	`jnl`	Dynamical Properties of Discrete Reaction Networks CoRR Loïc Paulevé, Gheorghe Craciun, Heinz Koeppl
2013	—	`conf`	From biochemical reaction networks to 3D dynamics in the cell: The ZigCell3D modeling, simulation and visualisation framework. BioVis Pablo de Heras Ciechomski, Michael Klann, Robin Mange, Heinz Koeppl
2013	J	`jnl`	Mapping behavioral specifications to model parameters in synthetic biology. BMC Bioinform. Heinz Koeppl, Marc Hafner, James Lu
2013	—	`conf`	Marginal dynamics of stochastic biochemical networks in random environments. ECC Christoph Zechner, Soudeep Deb, Heinz Koeppl
2013	J	`jnl`	Markov chain aggregation and its applications to combinatorial reaction networks CoRR Arnab Ganguly, Tatjana Petrov, Heinz Koeppl
2013	J	`jnl`	Optimal Kullback-Leibler Aggregation via Information Bottleneck CoRR Bernhard C. Geiger, Tatjana Petrov, Gernot Kubin, Heinz Koeppl
2013	J	`jnl`	Stochastic Fragments: A Framework for the Exact Reduction of the Stochastic Semantics of Rule-Based Models. Int. J. Softw. Informatics Jérôme Feret, Heinz Koeppl, Tatjana Petrov
2013	J	`jnl`	Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge. Bioinform. 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
2013	A*	`conf`	Under-Approximating Cut Sets for Reachability in Large Scale Automata Networks. CAV Loïc Paulevé, Geoffroy Andrieux, Heinz Koeppl
2013	J	`jnl`	Under-approximating Cut Sets for Reachability in Large Scale Automata Networks CoRR Loïc Paulevé, Geoffroy Andrieux, Heinz Koeppl
2012	J	`jnl`	Effect of Network Architecture on Synchronization and Entrainment Properties of the Circadian Oscillations in the Suprachiasmatic Nucleus. PLoS Comput. Biol. Marc Hafner, Heinz Koeppl, Didier Gonze
2012	—	`conf`	Finding invariant sets for biological systems using monomial domination. CDC Elias August, Gheorghe Craciun, Heinz Koeppl
2012	J	`jnl`	From Microscopy Data to in silico Environments for in vivo Oriented Simulations. EURASIP J. Bioinform. Syst. Biol. 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
2012	J	`jnl`	Hybrid spatial Gillespie and particle tracking simulation. Bioinform. Michael Klann, Arnab Ganguly, Heinz Koeppl
2012	J	`jnl`	Lumpability abstractions of rule-based systems. Theor. Comput. Sci. Jérôme Feret, Thomas A. Henzinger, Heinz Koeppl, Tatjana Petrov
2012	—	`conf`	Optimal variational perturbations for the inference of stochastic reaction dynamics. CDC Christoph Zechner, Preetam Nandy, Michael Unger, Heinz Koeppl
2012	Misc	`conf`	Reconstructing species-based dynamics from reduced stochastic rule-based models. WSC Tatjana Petrov, Jérôme Feret, Heinz Koeppl
2012	C	`conf`	Trajectory enclosures for nonlinear systems with uncertain initial conditions and parameters. ACC Elias August, James Lu, Heinz Koeppl
2011	C	`conf`	Computationally implementable sufficient conditions for the synchronisation of coupled dynamical systems with time delays in the coupling. ACC Elias August, Yongqiang Wang, Francis J. Doyle, James Lu, Heinz Koeppl
2011	B	`conf`	Cooperative Assembly Systems. DNA Vincent Danos, Heinz Koeppl, John Roger Wilson-Kanamori
2011	—	`conf`	Model Decomposition and Stochastic Fragments. SASB Tatjana Petrov, Arnab Ganguly, Heinz Koeppl
2011	—	`conf`	Parallelized agent-based simulation on CPU and graphics hardware for spatial and stochastic models in biology. CMSB Martin Falk, Michael Ott, Thomas Ertl, Michael Klann, Heinz Koeppl
2011	—	`conf`	Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations. CDC/ECC Christoph Zechner, Serge Pelet, Matthias Peter, Heinz Koeppl
2010	B	`conf`	Combining Model Reductions. MFPS Ferdinanda Camporesi, Jérôme Feret, Heinz Koeppl, Tatjana Petrov
2010	—	`conf`	Lumpability Abstractions of Rule-based Systems MeCBIC Jérôme Feret, Thomas A. Henzinger, Heinz Koeppl, Tatjana Petrov
2010	C	`conf`	Probability metrics to calibrate stochastic chemical kinetics. ISCAS Heinz Koeppl, Gianluca Setti, Serge Pelet, Mauro Mangia, Tatjana Petrov, Matthias Peter
2010	—	`conf`	Stochastic Semantics of Signaling as a Composition of Agent-view Automata. SASB Heinz Koeppl, Tatjana Petrov
2009	J	`jnl`	'Glocal' Robustness Analysis and Model Discrimination for Circadian Oscillators. PLoS Comput. Biol. Marc Hafner, Heinz Koeppl, Martin Hasler, Andreas Wagner
2009	J	`jnl`	A Local Nonlinear Model for the Approximation and Identification of a Class of Systems. IEEE Trans. Circuits Syst. II Express Briefs Heinz Koeppl
2009	C	`conf`	Analysis and Design of Biological Circuits and Systems. ISCAS Heinz Koeppl, Gianluca Setti
2008	C	`conf`	Digitally enhanced analog circuits: System aspects. ISCAS Boris Murmann, Christian Vogel, Heinz Koeppl
2008	J	`jnl`	Minimum Mean-Square Error Equalization for Second-Order Volterra Systems. IEEE Trans. Signal Process. Christoph Krall, Klaus Witrisal, Geert Leus, Heinz Koeppl
2007	C	`conf`	The Composition Rule for Multivariate Volterra Operators and its Application to Circuit Analysis. ISCAS Heinz Koeppl
2006	B	`conf`	A Bio-inspired Computer Fovea Model based on Hexagonal-type Cellular Neural Networks. IJCNN Chao-Hui Huang, Heinz Koeppl, Chin-Teng Lin
2006	J	`jnl`	An Efficient Scheme for Nonlinear Modeling and Predistortion in Mixed-Signal Systems. IEEE Trans. Circuits Syst. II Express Briefs Heinz Koeppl, Peter Singerl
2006	B	`conf`	Information Rate Maximization over a Resistive Grid. IJCNN Heinz Koeppl
2004	—	`conf`	Comparison of discrete-time approximations for continuous-time nonlinear systems. ICASSP (2) Heinz Koeppl, David Schwingshackl
2004	J	`jnl`	The Cramer-Rao Bound and DMT Signal Optimisation for the Identification of a Wiener-Type Model. EURASIP J. Adv. Signal Process. Heinz Koeppl, Awlok Josan, G. Paoli, Gernot Kubin