Heinz Koeppl

Orcid: 0000-0002-8305-9379

According to our database1, Heinz Koeppl authored at least 166 papers between 2004 and 2024.

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2024
New biological solutions to the many problems of our time.
Autom., June, 2024

Biological engineering - an engineering discipline crucial to the future of our civilization.
Autom., June, 2024

Hawkes Process Modelling for Chemical Reaction Networks in a Random Environment.
SIAM J. Appl. Dyn. Syst., 2024

FPGA-Based Neural Thrust Controller for UAVs.
CoRR, 2024

Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC.
CoRR, 2024

Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series.
CoRR, 2024

Poisson-Gamma Dynamical Systems with Non-Stationary Transition Dynamics.
CoRR, 2024

Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism.
CoRR, 2024

Collaborative Optimization of the Age of Information Under Partial Observability.
Proceedings of the IFIP Networking Conference, 2024

A Survey of Confidence Estimation and Calibration in Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Major-Minor Mean Field Multi-Agent Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Approximate Control for Continuous-Time POMDPs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Learning Discrete-Time Major-Minor Mean Field Games.
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

Load Balancing in Compute Clusters With Delayed Feedback.
IEEE Trans. Computers, June, 2023

Mean Field Games on Weighted and Directed Graphs via Colored Digraphons.
IEEE Control. Syst. Lett., 2023

Sparse Mean Field Load Balancing in Large Localized Queueing Systems.
CoRR, 2023

Learning to Cooperate and Communicate Over Imperfect Channels.
CoRR, 2023

A Survey of Language Model Confidence Estimation and Calibration.
CoRR, 2023

Entropic Matching for Expectation Propagation of Markov Jump Processes.
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

An Instance Segmentation Dataset of Yeast Cells in Microstructures.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Keypoint-Driven Unsupervised Learning for Histopathology Image Registration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Learning Sparse Graphon Mean Field Games.
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
Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming.
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

Hypergraphon Mean Field Games.
CoRR, 2022

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations.
CoRR, 2022

PAQMAN: A Principled Approach to Active Queue Management.
CoRR, 2022

Yeast cell segmentation in microstructured environments with deep learning.
Biosyst., 2022

Multi-magnification Networks for Deformable Image Registration on Histopathology Images.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Reinforcement Learning with Non-Exponential Discounting.
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

Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems.
Proceedings of the International Conference on Machine Learning, 2022

Learning Graphon Mean Field Games and Approximate Nash Equilibria.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Decentralized Coordination in Partially Observable Queueing Networks.
Proceedings of the IEEE Global Communications Conference, 2022

Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control.
Proceedings of the IEEE Global Communications Conference, 2022

Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Deep learning-based restaining of histopathological images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Daily Routine Recognition for Hearing Aid Personalization.
SN Comput. Sci., 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

Improving Daily Routine Recognition in Hearing Aids Using Sequence Learning.
IEEE Access, 2021

Variational Inference for Continuous-Time Switching Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Active Learning of Continuous-time Bayesian Networks through Interventions.
Proceedings of the 38th International Conference on Machine Learning, 2021

Discrete-Time Mean Field Control with Environment States.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Moment-Based Variational Inference for Stochastic Differential Equations.
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
Generalized Cost-Based Job Scheduling in Very Large Heterogeneous Cluster Systems.
IEEE Trans. Parallel Distributed Syst., 2020

On the Throughput Optimization in Large-scale Batch-processing Systems.
Perform. Evaluation, 2020

The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

POMDPs in Continuous Time and Discrete Spaces.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Poisson channel with binary Markov input and average sojourn time constraint.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Continuous Time Bayesian Networks with Clocks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020

Attention-Based Transformers for Instance Segmentation of Cells in Microstructures.
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

Editorial.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Formal methods for the synthesis of biomolecular circuits (NII Shonan Meeting 157).
NII Shonan Meet. Rep., 2019

Transitions: A Protocol-Independent View of the Future Internet.
Proc. IEEE, 2019

Approximate lumpability for Markovian agent-based models using local symmetries.
J. Appl. Probab., 2019

CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming (Extended Version).
CoRR, 2019

Inferring gene expression networks with hubs using a degree weighted Lasso approach.
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

Correlation Priors for Reinforcement Learning.
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

CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Moment-Based Variational Inference for Markov Jump Processes.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Correction to: Reinforcement learning in a continuum of agents.
Swarm Intell., 2018

Reinforcement learning in a continuum of agents.
Swarm Intell., 2018

A Bayesian Approach to Policy Recognition and State Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
J. Mach. Learn. Res., 2018

Formal Methods for the Synthesis of Biomolecular Circuits (Dagstuhl Seminar 18082).
Dagstuhl Reports, 2018

A Comprehensive Analysis of Swarming-based Live Streaming to Leverage Client Heterogeneity.
CoRR, 2018

Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains.
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

Maximizing information gain for the characterization of biomolecular circuits.
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

Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Dependent Relational Gamma Process Models for Longitudinal Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2018

Inverse Reinforcement Learning via Nonparametric Subgoal Modeling.
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

Inverse Reinforcement Learning in Swarm Systems.
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

Graph reconstruction using covariance-based methods.
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

Analysing and leveraging client heterogeneity in swarming-based live streaming.
Proceedings of the 2016 IFIP Networking Conference, 2016

Policy recognition via expectation maximization.
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
Optimal Kullback-Leibler Aggregation via Information Bottleneck.
IEEE Trans. Autom. Control., 2015

Almost sure stability and stabilization of discrete-time stochastic systems.
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
Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments.
PLoS Comput. Biol., 2014

Preface.
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

Markov chain aggregation and its applications to combinatorial reaction networks
CoRR, 2013

Dynamical Properties of Discrete Reaction Networks
CoRR, 2013

Mapping behavioral specifications to model parameters in synthetic biology.
BMC Bioinform., 2013

Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.
Bioinform., 2013

Marginal dynamics of stochastic biochemical networks in random environments.
Proceedings of the 12th European Control Conference, 2013

Approximate model reductions for combinatorial reaction systems.
Proceedings of the 12th European Control Conference, 2013

Coarse-Grained Brownian Dynamics Simulation of Rule-Based Models.
Proceedings of the Computational Methods in Systems Biology, 2013

Under-Approximating Cut Sets for Reachability in Large Scale Automata Networks.
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
Lumpability abstractions of rule-based systems.
Theor. Comput. Sci., 2012

Effect of Network Architecture on Synchronization and Entrainment Properties of the Circadian Oscillations in the Suprachiasmatic Nucleus.
PLoS Comput. Biol., 2012

From Microscopy Data to in silico Environments for in vivo Oriented Simulations.
EURASIP J. Bioinform. Syst. Biol., 2012

Hybrid spatial Gillespie and particle tracking simulation.
Bioinform., 2012

Reconstructing species-based dynamics from reduced stochastic rule-based models.
Proceedings of the Winter Simulation Conference, 2012

Optimal variational perturbations for the inference of stochastic reaction dynamics.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Finding invariant sets for biological systems using monomial domination.
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
Model Decomposition and Stochastic Fragments.
Proceedings of the 2nd International Workshop on Static Analysis and Systems Biology, 2011

Cooperative Assembly Systems.
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
Stochastic Semantics of Signaling as a Composition of Agent-view Automata.
Proceedings of the 1st International Workshop on Static Analysis and Systems Biology, 2010

Combining Model Reductions.
Proceedings of the 26th Conference on the Mathematical Foundations of Programming Semantics, 2010

Probability metrics to calibrate stochastic chemical kinetics.
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

'Glocal' Robustness Analysis and Model Discrimination for Circadian Oscillators.
PLoS Comput. Biol., 2009

Analysis and Design of Biological Circuits and Systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

2008
Minimum Mean-Square Error Equalization for Second-Order Volterra Systems.
IEEE Trans. Signal Process., 2008

Digitally enhanced analog circuits: System aspects.
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

Information Rate Maximization over a Resistive Grid.
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

Comparison of discrete-time approximations for continuous-time nonlinear systems.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


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