Heinz Koeppl
Orcid: 0000-0002-8305-9379
According to our database1,
Heinz Koeppl
authored at least 158 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Counting Processes With Piecewise-Deterministic Markov Conditional Intensity: Asymptotic Analysis, Implementation, and Information-Theoretic Use.
IEEE Trans. Inf. Theory, November, 2023
IEEE Trans. Computers, June, 2023
IEEE Control. Syst. Lett., 2023
CoRR, 2023
Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms.
CoRR, 2023
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior.
CoRR, 2023
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.
CoRR, 2023
Probabilistic inverse optimal control with local linearization for non-linear partially observable systems.
CoRR, 2023
Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties.
CoRR, 2023
Modeling Quality of Experience for Compressed Point Cloud Sequences based on a Subjective Study.
Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.
Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2022
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels.
CoRR, 2022
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning.
CoRR, 2022
ACID: A Low Dimensional Characterization of Markov-Modulated and Self-Exciting Counting Processes.
CoRR, 2022
CoRR, 2022
Biosyst., 2022
Multi-magnification Networks for Deformable Image Registration on Histopathology Images.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems.
Proceedings of the 51st International Conference on Parallel Processing, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
A finite volume method for continuum limit equations of nonlocally interacting active chiral particles.
J. Comput. Phys., 2021
Scheduling in Parallel Finite Buffer Systems: Optimal Decisions under Delayed Feedback.
CoRR, 2021
Tensor-train approximation of the chemical master equation and its application for parameter inference.
CoRR, 2021
Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning.
CoRR, 2021
IEEE Access, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
IEEE Trans. Parallel Distributed Syst., 2020
SIGMETRICS Perform. Evaluation Rev., 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Provisioning and Performance Evaluation of Parallel Systems with Output Synchronization.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2019
NII Shonan Meet. Rep., 2019
J. Appl. Probab., 2019
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming (Extended Version).
CoRR, 2019
Bioinform., 2019
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Daily Routine Recognition with Visual Interactive Labeling by Fusing Acceleration and Audio Signals.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
J. Mach. Learn. Res., 2018
Dagstuhl Reports, 2018
A Comprehensive Analysis of Swarming-based Live Streaming to Leverage Client Heterogeneity.
CoRR, 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication, 2018
Network Reconstruction From Time-Course Perturbation Data Using Multivariate Gaussian Processes.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 2018 AAAI Spring Symposia, 2018
A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Cross-Layer QoE-Based Incentive Mechanism for Video Streaming in Multi-Hop Wireless Networks.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017
Optimizing stochastic scheduling in fork-join queueing models: Bounds and applications.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
2016
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes.
J. Mach. Learn. Res., 2016
EURASIP J. Bioinform. Syst. Biol., 2016
Optimizing Stochastic Scheduling in Fork-Join Queuing Models: Bounds and Applications.
CoRR, 2016
A Generalized Performance Evaluation Framework for Parallel Systems with Output Synchronization.
CoRR, 2016
Enabling crowdsourced live event coverage with adaptive collaborative upload strategies.
Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016
Proceedings of the 2016 IFIP Networking Conference, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
A diagram technique for cumulant equations in biomolecular reaction networks with mass-action kinetics.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Scalable inference using PMCMC and parallel tempering for high-throughput measurements of biomolecular reaction networks.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Efficient simulation of multiscale reaction networks: A multilevel partitioning approach.
Proceedings of the 2016 American Control Conference, 2016
Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
IEEE Trans. Autom. Control., 2015
Syst. Control. Lett., 2015
Jump-Diffusion Approximation of Stochastic Reaction Dynamics: Error Bounds and Algorithms.
Multiscale Model. Simul., 2015
Self-assembly and Self-organization in Computer Science and Biology (Dagstuhl Seminar 15402).
Dagstuhl Reports, 2015
Error bound and simulation algorithm for piecewise deterministic approximations of stochastic reaction systems.
Proceedings of the American Control Conference, 2015
2014
PLoS Comput. Biol., 2014
Proceedings of the 5th International Workshop on Static Analysis and Systems Biology, 2014
2013
Stochastic Fragments: A Framework for the Exact Reduction of the Stochastic Semantics of Rule-Based Models.
Int. J. Softw. Informatics, 2013
CoRR, 2013
BMC Bioinform., 2013
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.
Bioinform., 2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the Computational Methods in Systems Biology, 2013
Proceedings of the Computer Aided Verification - 25th International Conference, 2013
From biochemical reaction networks to 3D dynamics in the cell: The ZigCell3D modeling, simulation and visualisation framework.
Proceedings of the IEEE Symposium on Biological Data Visualization, 2013
2012
Effect of Network Architecture on Synchronization and Entrainment Properties of the Circadian Oscillations in the Suprachiasmatic Nucleus.
PLoS Comput. Biol., 2012
EURASIP J. Bioinform. Syst. Biol., 2012
Proceedings of the Winter Simulation Conference, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Trajectory enclosures for nonlinear systems with uncertain initial conditions and parameters.
Proceedings of the American Control Conference, 2012
2011
Proceedings of the 2nd International Workshop on Static Analysis and Systems Biology, 2011
Proceedings of the DNA Computing and Molecular Programming - 17th International Conference, 2011
Parallelized agent-based simulation on CPU and graphics hardware for spatial and stochastic models in biology.
Proceedings of the Computational Methods in Systems Biology, 9th International Conference, 2011
Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Computationally implementable sufficient conditions for the synchronisation of coupled dynamical systems with time delays in the coupling.
Proceedings of the American Control Conference, 2011
2010
Proceedings of the 1st International Workshop on Static Analysis and Systems Biology, 2010
Proceedings of the 26th Conference on the Mathematical Foundations of Programming Semantics, 2010
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
2009
A Local Nonlinear Model for the Approximation and Identification of a Class of Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2009
PLoS Comput. Biol., 2009
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
2008
IEEE Trans. Signal Process., 2008
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008
2007
The Composition Rule for Multivariate Volterra Operators and its Application to Circuit Analysis.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
2006
An Efficient Scheme for Nonlinear Modeling and Predistortion in Mixed-Signal Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
A Bio-inspired Computer Fovea Model based on Hexagonal-type Cellular Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006
2004
The Cramer-Rao Bound and DMT Signal Optimisation for the Identification of a Wiener-Type Model.
EURASIP J. Adv. Signal Process., 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004