Comparison of discrete-time approximations for continuous-time nonlinear systems. - Heinz Koeppl; David Schwingshackl (ICASSP (2), 2004)

The Cramer-Rao Bound and DMT Signal Optimisation for the Identification of a Wiener-Type Model. - Heinz Koeppl; Awlok Josan; G. Paoli; Gernot Kubin (EURASIP J. Adv. Signal Process., 2004)

A Bio-inspired Computer Fovea Model based on Hexagonal-type Cellular Neural Networks. - Chao-Hui Huang; Heinz Koeppl; Chin-Teng Lin (IJCNN, 2006)

Information Rate Maximization over a Resistive Grid. - Heinz Koeppl (IJCNN, 2006)

An Efficient Scheme for Nonlinear Modeling and Predistortion in Mixed-Signal Systems. - Heinz Koeppl; Peter Singerl (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

The Composition Rule for Multivariate Volterra Operators and its Application to Circuit Analysis. - Heinz Koeppl (ISCAS, 2007)

Digitally enhanced analog circuits: System aspects. - Boris Murmann; Christian Vogel 001; Heinz Koeppl (ISCAS, 2008)

Minimum Mean-Square Error Equalization for Second-Order Volterra Systems. - Christoph Krall; Klaus Witrisal; Geert Leus; Heinz Koeppl (IEEE Trans. Signal Process., 2008)

Analysis and Design of Biological Circuits and Systems. - Heinz Koeppl; Gianluca Setti (ISCAS, 2009)

'Glocal' Robustness Analysis and Model Discrimination for Circadian Oscillators. - Marc Hafner; Heinz Koeppl; Martin Hasler; Andreas Wagner (PLoS Comput. Biol., 2009)

A Local Nonlinear Model for the Approximation and Identification of a Class of Systems. - Heinz Koeppl (IEEE Trans. Circuits Syst. II Express Briefs, 2009)

Probability metrics to calibrate stochastic chemical kinetics. - Heinz Koeppl; Gianluca Setti; Serge Pelet; Mauro Mangia; Tatjana Petrov; Matthias Peter (ISCAS, 2010)

Combining Model Reductions. - Ferdinanda Camporesi; Jérôme Feret; Heinz Koeppl; Tatjana Petrov (MFPS, 2010)

Stochastic Semantics of Signaling as a Composition of Agent-view Automata. - Heinz Koeppl; Tatjana Petrov (SASB, 2010)

Computationally implementable sufficient conditions for the synchronisation of coupled dynamical systems with time delays in the coupling. - Elias August; Yongqiang Wang 001; Francis J. Doyle; James Lu; Heinz Koeppl (ACC, 2011)

Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations. - Christoph Zechner; Serge Pelet; Matthias Peter; Heinz Koeppl (CDC/ECC, 2011)

Parallelized agent-based simulation on CPU and graphics hardware for spatial and stochastic models in biology. - Martin Falk; Michael Ott 002; Thomas Ertl; Michael Klann; Heinz Koeppl (CMSB, 2011)

Cooperative Assembly Systems. - Vincent Danos; Heinz Koeppl; John Roger Wilson-Kanamori (DNA, 2011)

Model Decomposition and Stochastic Fragments. - Tatjana Petrov; Arnab Ganguly 001; Heinz Koeppl (SASB, 2011)

Trajectory enclosures for nonlinear systems with uncertain initial conditions and parameters. - Elias August; James Lu; Heinz Koeppl (ACC, 2012)

Finding invariant sets for biological systems using monomial domination. - Elias August; Gheorghe Craciun; Heinz Koeppl (CDC, 2012)

Optimal variational perturbations for the inference of stochastic reaction dynamics. - Christoph Zechner; Preetam Nandy; Michael Unger; Heinz Koeppl (CDC, 2012)

Reconstructing species-based dynamics from reduced stochastic rule-based models. - Tatjana Petrov; Jérôme Feret; Heinz Koeppl (WSC, 2012)

Hybrid spatial Gillespie and particle tracking simulation. - Michael Klann; Arnab Ganguly 001; Heinz Koeppl (Bioinform., 2012)

From Microscopy Data to in silico Environments for in vivo Oriented Simulations. - 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; et al. (EURASIP J. Bioinform. Syst. Biol., 2012)

Effect of Network Architecture on Synchronization and Entrainment Properties of the Circadian Oscillations in the Suprachiasmatic Nucleus. - Marc Hafner; Heinz Koeppl; Didier Gonze (PLoS Comput. Biol., 2012)

Lumpability abstractions of rule-based systems. - Jérôme Feret; Thomas A. Henzinger; Heinz Koeppl; Tatjana Petrov (Theor. Comput. Sci., 2012)

From biochemical reaction networks to 3D dynamics in the cell: The ZigCell3D modeling, simulation and visualisation framework. - Pablo de Heras Ciechomski; Michael Klann; Robin Mange; Heinz Koeppl (BioVis, 2013)

Under-Approximating Cut Sets for Reachability in Large Scale Automata Networks. - Loïc Paulevé; Geoffroy Andrieux; Heinz Koeppl (CAV, 2013)

Coarse-Grained Brownian Dynamics Simulation of Rule-Based Models. - Michael Klann; Loïc Paulevé; Tatjana Petrov; Heinz Koeppl (CMSB, 2013)

Approximate model reductions for combinatorial reaction systems. - Tatjana Petrov; Heinz Koeppl (ECC, 2013)

Marginal dynamics of stochastic biochemical networks in random environments. - Christoph Zechner; Soudeep Deb; Heinz Koeppl (ECC, 2013)

Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge. - Adi L. Tarca; Mario Lauria; Michael Unger; Erhan Bilal; Stéphanie Boué; Kushal Kumar Dey; Julia Hoeng; Heinz Koeppl; Florian Martin 002; Pablo Meyer 001; Preetam Nandy; Raquel Norel; et al. (Bioinform., 2013)

Mapping behavioral specifications to model parameters in synthetic biology. - Heinz Koeppl; Marc Hafner; James Lu (BMC Bioinform., 2013)

Dynamical Properties of Discrete Reaction Networks - Loïc Paulevé; Gheorghe Craciun; Heinz Koeppl (CoRR, 2013)

Markov chain aggregation and its applications to combinatorial reaction networks - Arnab Ganguly 001; Tatjana Petrov; Heinz Koeppl (CoRR, 2013)

Stochastic Fragments: A Framework for the Exact Reduction of the Stochastic Semantics of Rule-Based Models. - Jérôme Feret; Heinz Koeppl; Tatjana Petrov (Int. J. Softw. Informatics, 2013)

Preface. - Loïc Paulevé; Heinz Koeppl (SASB, 2014)

Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments. - Christoph Zechner; Heinz Koeppl (PLoS Comput. Biol., 2014)

Error bound and simulation algorithm for piecewise deterministic approximations of stochastic reaction systems. - Arnab Ganguly 001; Derya Altintan; Heinz Koeppl (ACC, 2015)

Self-assembly and Self-organization in Computer Science and Biology (Dagstuhl Seminar 15402). - Vincent Danos; Heinz Koeppl (Dagstuhl Reports, 2015)

Jump-Diffusion Approximation of Stochastic Reaction Dynamics: Error Bounds and Algorithms. - Arnab Ganguly 001; Derya Altintan; Heinz Koeppl (Multiscale Model. Simul., 2015)

Almost sure stability and stabilization of discrete-time stochastic systems. - Lirong Huang; Håkan Hjalmarsson; Heinz Koeppl (Syst. Control. Lett., 2015)

Optimal Kullback-Leibler Aggregation via Information Bottleneck. - Bernhard C. Geiger; Tatjana Petrov; Gernot Kubin; Heinz Koeppl (IEEE Trans. Autom. Control., 2015)

Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations. - Lukas Studer; Loïc Paulevé; Christoph Zechner; Matthias Reumann; María Rodríguez Martínez; Heinz Koeppl (AAAI, 2016)

Efficient simulation of multiscale reaction networks: A multilevel partitioning approach. - Derya Altintan; Arnab Ganguly 001; Heinz Koeppl (ACC, 2016)

Scalable inference using PMCMC and parallel tempering for high-throughput measurements of biomolecular reaction networks. - Leo Bronstein; Heinz Koeppl (CDC, 2016)

A diagram technique for cumulant equations in biomolecular reaction networks with mass-action kinetics. - Leo Bronstein; Heinz Koeppl (CDC, 2016)

Policy recognition via expectation maximization. - Adrian Sosic; Abdelhak M. Zoubir; Heinz Koeppl (ICASSP, 2016)

Analysing and leveraging client heterogeneity in swarming-based live streaming. - Wasiur R. KhudaBukhsh; Julius Rückert; Julian Wulfheide; David Hausheer; Heinz Koeppl (Networking, 2016)

Enabling crowdsourced live event coverage with adaptive collaborative upload strategies. - Björn Richerzhagen; Julian Wulfheide; Heinz Koeppl; Andreas Mauthe; Klara Nahrstedt; Ralf Steinmetz (WoWMoM, 2016)

A Generalized Performance Evaluation Framework for Parallel Systems with Output Synchronization. - Wasiur R. KhudaBukhsh; Sounak Kar; Amr Rizk; Heinz Koeppl (CoRR, 2016)

Optimizing Stochastic Scheduling in Fork-Join Queuing Models: Bounds and Applications. - Wasiur R. KhudaBukhsh; Amr Rizk; Alexander Frömmgen; Heinz Koeppl (CoRR, 2016)

Graph reconstruction using covariance-based methods. - Nurgazy Sulaimanov; Heinz Koeppl (EURASIP J. Bioinform. Syst. Biol., 2016)

A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes. - Tobias Sutter; Arnab Ganguly 001; Heinz Koeppl (J. Mach. Learn. Res., 2016)

Inverse Reinforcement Learning in Swarm Systems. - Adrian Sosic; Wasiur R. KhudaBukhsh; Abdelhak M. Zoubir; Heinz Koeppl (AAMAS, 2017)

Optimizing stochastic scheduling in fork-join queueing models: Bounds and applications. - Wasiur R. KhudaBukhsh; Amr Rizk; Alexander Frömmgen; Heinz Koeppl (INFOCOM, 2017)

Cross-Layer QoE-Based Incentive Mechanism for Video Streaming in Multi-Hop Wireless Networks. - Mahdi Mousavi; Hussein Al-Shatri; Wasiur R. KhudaBukhsh; Heinz Koeppl; Anja Klein 002 (VTC Fall, 2017)

A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks. - Sikun Yang; Heinz Koeppl (AAAI, 2018)

Inverse Reinforcement Learning via Nonparametric Subgoal Modeling. - Adrian Sosic; Abdelhak M. Zoubir; Heinz Koeppl (AAAI Spring Symposia, 2018)

Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. - Sikun Yang; Heinz Koeppl (ICDM, 2018)

Dependent Relational Gamma Process Models for Longitudinal Networks. - Sikun Yang; Heinz Koeppl (ICML, 2018)

Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies. - Wasiur R. KhudaBukhsh; Bastian Alt; Sounak Kar; Amr Rizk; Heinz Koeppl (INFOCOM, 2018)

Network Reconstruction From Time-Course Perturbation Data Using Multivariate Gaussian Processes. - Sara Al-Sayed; Heinz Koeppl (MLSP, 2018)

Maximizing information gain for the characterization of biomolecular circuits. - Tim Prangemeier; Christian Wildner; Maleen Hanst; Heinz Koeppl (NANOCOM, 2018)

Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. - Dominik Linzner; Heinz Koeppl (NeurIPS, 2018)

Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains. - Bastian Alt; Michael Messer; Jochen Roeper; Gaby Schneider; Heinz Koeppl (SSP, 2018)

A Comprehensive Analysis of Swarming-based Live Streaming to Leverage Client Heterogeneity. - Wasiur R. KhudaBukhsh; Julius Rückert; Julian Wulfheide; David Hausheer; Heinz Koeppl (CoRR, 2018)

Formal Methods for the Synthesis of Biomolecular Circuits (Dagstuhl Seminar 18082). - Yaakov Benenson; Neil Dalchau; Heinz Koeppl; Oded Maler (Dagstuhl Reports, 2018)

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. - Adrian Sosic; Elmar Rueckert; Jan Peters 001; Abdelhak M. Zoubir; Heinz Koeppl (J. Mach. Learn. Res., 2018)

A Bayesian Approach to Policy Recognition and State Representation Learning. - Adrian Sosic; Abdelhak M. Zoubir; Heinz Koeppl (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Reinforcement learning in a continuum of agents. - Adrian Sosic; Abdelhak M. Zoubir; Heinz Koeppl (Swarm Intell., 2018)

Correction to: Reinforcement learning in a continuum of agents. - Adrian Sosic; Abdelhak M. Zoubir; Heinz Koeppl (Swarm Intell., 2018)

Moment-Based Variational Inference for Markov Jump Processes. - Christian Wildner; Heinz Koeppl (ICML, 2019)

CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming. - Bastian Alt; Trevor Ballard; Ralf Steinmetz; Heinz Koeppl; Amr Rizk (INFOCOM, 2019)

Daily Routine Recognition with Visual Interactive Labeling by Fusing Acceleration and Audio Signals. - Thomas Kuebert; Henning Puder; Heinz Koeppl (ISSPIT, 2019)

Correlation Priors for Reinforcement Learning. - Bastian Alt; Adrian Sosic; Heinz Koeppl (NeurIPS, 2019)

Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. - Dominik Linzner; Michael Schmidt; Heinz Koeppl (NeurIPS, 2019)

Inferring gene expression networks with hubs using a degree weighted Lasso approach. - Nurgazy Sulaimanov; Sunil Kumar; Frédéric Burdet; Mark Ibberson; Marco Pagni; Heinz Koeppl (Bioinform., 2019)

CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming (Extended Version). - Bastian Alt; Trevor Ballard; Ralf Steinmetz; Heinz Koeppl; Amr Rizk (CoRR, 2019)

Approximate lumpability for Markovian agent-based models using local symmetries. - Wasiur R. KhudaBukhsh; Arnab Auddy; Yann Disser; Heinz Koeppl (J. Appl. Probab., 2019)

Transitions: A Protocol-Independent View of the Future Internet. - Bastian Alt; Markus Weckesser; Christian Becker 001; Matthias Hollick; Sounak Kar; Anja Klein 002; Robin Klose; Roland Kluge; Heinz Koeppl; Boris Koldehofe; Wasiur R. KhudaBukhsh; Manisha Luthra; et al. (Proc. IEEE, 2019)

Formal methods for the synthesis of biomolecular circuits (NII Shonan Meeting 157). - François Fages; Katsumi Inoue; Heinz Koeppl; Chris Myers; Yoshihiro Shimizu (NII Shonan Meet. Rep., 2019)

Editorial. - Jérôme Feret; Heinz Koeppl (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Provisioning and Performance Evaluation of Parallel Systems with Output Synchronization. - Wasiur R. KhudaBukhsh; Sounak Kar; Amr Rizk; Heinz Koeppl (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2019)

A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes. - Dominik Linzner; Heinz Koeppl (AAAI, 2020)

Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. - Tim Prangemeier; Christoph Reich; Heinz Koeppl (BIBM, 2020)

Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. - Tim Prangemeier; Christian Wildner; André O. Françani; Christoph Reich; Heinz Koeppl (CIBCB, 2020)

Continuous Time Bayesian Networks with Clocks. - Nicolai Engelmann; Dominik Linzner; Heinz Koeppl (ICML, 2020)

Poisson channel with binary Markov input and average sojourn time constraint. - Mark Sinzger; Maximilian Gehri; Heinz Koeppl (ISIT, 2020)

POMDPs in Continuous Time and Discrete Spaces. - Bastian Alt; Matthias Schultheis; Heinz Koeppl (NeurIPS, 2020)

The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. - Sikun Yang; Heinz Koeppl (UAI, 2020)

On the Throughput Optimization in Large-scale Batch-processing Systems. - Sounak Kar; Robin Rehrmann; Arpan Mukhopadhyay; Bastian Alt; Florin Ciucu; Heinz Koeppl; Carsten Binnig; Amr Rizk (Perform. Evaluation, 2020)

Generalized Cost-Based Job Scheduling in Very Large Heterogeneous Cluster Systems. - Wasiur R. KhudaBukhsh; Sounak Kar; Bastian Alt; Amr Rizk; Heinz Koeppl (IEEE Trans. Parallel Distributed Syst., 2020)

Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. - Kai Cui 001; Heinz Koeppl (AISTATS, 2021)

Moment-Based Variational Inference for Stochastic Differential Equations. - Christian Wildner; Heinz Koeppl (AISTATS, 2021)

OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data. - Christoph Reich; Tim Prangemeier; Özdemir Çetin; Heinz Koeppl (BMVC, 2021)

Discrete-Time Mean Field Control with Environment States. - Kai Cui 001; Anam Tahir; Mark Sinzger; Heinz Koeppl (CDC, 2021)

Active Learning of Continuous-time Bayesian Networks through Interventions. - Dominik Linzner; Heinz Koeppl (ICML, 2021)

Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. - Christoph Reich; Tim Prangemeier; Christian Wildner; Heinz Koeppl (MICCAI (8), 2021)

Variational Inference for Continuous-Time Switching Dynamical Systems. - Lukas Köhs; Bastian Alt; Heinz Koeppl (NeurIPS, 2021)

Improving Daily Routine Recognition in Hearing Aids Using Sequence Learning. - Thomas Kuebert; Henning Puder; Heinz Koeppl (IEEE Access, 2021)

Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning. - Ramzi Ourari; Kai Cui 001; Heinz Koeppl (CoRR, 2021)

Tensor-train approximation of the chemical master equation and its application for parameter inference. - Ion Gabriel Ion; Christian Wildner; Dimitrios Loukrezis; Heinz Koeppl; Herbert De Gersem (CoRR, 2021)

Scheduling in Parallel Finite Buffer Systems: Optimal Decisions under Delayed Feedback. - Anam Tahir; Bastian Alt; Amr Rizk; Heinz Koeppl (CoRR, 2021)

A finite volume method for continuum limit equations of nonlocally interacting active chiral particles. - Nikita Kruk; José A. Carrillo 001; Heinz Koeppl (J. Comput. Phys., 2021)

Daily Routine Recognition for Hearing Aid Personalization. - Thomas Kuebert; Henning Puder; Heinz Koeppl (SN Comput. Sci., 2021)

Deep learning-based restaining of histopathological images. - Özdemir Çetin; Mingzhi Chen; Paul Ziegler; Peter Wild; Heinz Koeppl (BIBM, 2022)

Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. - Sharif Azem; Anam Tahir; Heinz Koeppl (CCNC, 2022)

Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. - Kai Cui 001; Mustafa Burak Yilmaz; Anam Tahir; Anja Klein 002; Heinz Koeppl (GLOBECOM, 2022)

Decentralized Coordination in Partially Observable Queueing Networks. - Jiekai Jia; Anam Tahir; Heinz Koeppl (GLOBECOM, 2022)

Learning Graphon Mean Field Games and Approximate Nash Equilibria. - Kai Cui 001; Heinz Koeppl (ICLR, 2022)

Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems. - Lukas Köhs; Bastian Alt; Heinz Koeppl (ICML, 2022)

Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. - Anam Tahir; Kai Cui 001; Heinz Koeppl (ICPP, 2022)

Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning. - Ramzi Ourari; Kai Cui 001; Ahmed Elshamanhory; Heinz Koeppl (ICRA, 2022)

Histopathological image classification based on self-supervised vision transformer and weak labels. - Ahmet Gokberk Gul; Özdemir Çetin; Christoph Reich; Nadine Flinner; Tim Prangemeier; Heinz Koeppl (Digital and Computational Pathology, 2022)

Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains. - Nicolai Engelmann; Heinz Koeppl (NeurIPS, 2022)

Reinforcement Learning with Non-Exponential Discounting. - Matthias Schultheis; Constantin A. Rothkopf; Heinz Koeppl (NeurIPS, 2022)

Multi-magnification Networks for Deformable Image Registration on Histopathology Images. - Özdemir Çetin; Yiran Shu; Nadine Flinner; Paul Ziegler; Peter Wild; Heinz Koeppl (WBIR, 2022)

Yeast cell segmentation in microstructured environments with deep learning. - Tim Prangemeier; Christian Wildner; André O. Françani; Christoph Reich; Heinz Koeppl (Biosyst., 2022)

PAQMAN: A Principled Approach to Active Queue Management. - Sounak Kar; Bastian Alt; Heinz Koeppl; Amr Rizk (CoRR, 2022)

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. - Zhen Han 003; Ruotong Liao; Beiyan Liu; Yao Zhang; Zifeng Ding; Heinz Köppl; Hinrich Schütze; Volker Tresp (CoRR, 2022)

Hypergraphon Mean Field Games. - Kai Cui 001; Wasiur R. KhudaBukhsh; Heinz Koeppl (CoRR, 2022)

ACID: A Low Dimensional Characterization of Markov-Modulated and Self-Exciting Counting Processes. - Mark Sinzger-D'Angelo; Heinz Koeppl (CoRR, 2022)

A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning. - Kai Cui 001; Anam Tahir; Gizem Ekinci; Ahmed Elshamanhory; Yannick Eich; Mengguang Li; Heinz Koeppl (CoRR, 2022)

Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming. - Yassin Alkhalili; Jannis Weil; Anam Tahir; Tobias Meuser; Boris Koldehofe; Andreas Mauthe; Heinz Koeppl; Ralf Steinmetz (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2022)

Motif-based mean-field equations. - Kai Cui 001; Wasiur R. KhudaBukhsh; Heinz Koeppl (Zenodo, 2022)

ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. - Zhen Han 003; Ruotong Liao; Jindong Gu; Yao Zhang; Zifeng Ding; Yujia Gu; Heinz Koeppl; Hinrich Schütze; Volker Tresp (ACL (Findings), 2023)

Learning Sparse Graphon Mean Field Games. - Christian Fabian 001; Kai Cui 001; Heinz Koeppl (AISTATS, 2023)

Keypoint-Driven Unsupervised Learning for Histopathology Image Registration. - Özdemir Çetin; Junming Lai; Paul Ziegler; Peter Wild; Gamze Dogali; Heinz Koeppl (BIBM, 2023)

An Instance Segmentation Dataset of Yeast Cells in Microstructures. - Christoph Reich; Tim Prangemeier; André O. Françani; Heinz Koeppl (EMBC, 2023)

The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures. - Christoph Reich; Tim Prangemeier; Heinz Koeppl (ICCV (Workshops), 2023)

Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. - Kai Cui 001; Mengguang Li; Christian Fabian 001; Heinz Koeppl (ICRA, 2023)

UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. - Kai Cui 001; Lars Baumgärtner; Mustafa Burak Yilmaz; Mengguang Li; Christian Fabian 001; Benjamin Becker; Lin Xiang; Maximilian Bauer; Heinz Koeppl (LCN, 2023)

Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs. - Dominik Straub; Matthias Schultheis; Heinz Koeppl; Constantin A. Rothkopf (NeurIPS, 2023)

Modeling Quality of Experience for Compressed Point Cloud Sequences based on a Subjective Study. - Jannis Weil; Yassin Alkhalili; Anam Tahir; Thomas Gruczyk; Tobias Meuser; Mu Mu 001; Heinz Koeppl; Andreas Mauthe (QoMEX, 2023)

Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties. - Kai Cui 001; Christian Fabian 001; Heinz Koeppl (CoRR, 2023)

Probabilistic inverse optimal control with local linearization for non-linear partially observable systems. - Dominik Straub; Matthias Schultheis; Heinz Koeppl; Constantin A. Rothkopf (CoRR, 2023)

UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. - Kai Cui 001; Lars Baumgärtner; Burak Yilmaz; Mengguang Li; Christian Fabian 001; Benjamin Becker; Lin Xiang; Maximilian Bauer; Heinz Koeppl (CoRR, 2023)

Entropic Matching for Expectation Propagation of Markov Jump Processes. - Bastian Alt; Heinz Koeppl (CoRR, 2023)

A Survey of Language Model Confidence Estimation and Calibration. - Jiahui Geng; Fengyu Cai; Yuxia Wang; Heinz Koeppl; Preslav Nakov; Iryna Gurevych (CoRR, 2023)

Learning to Cooperate and Communicate Over Imperfect Channels. - Jannis Weil; Gizem Ekinci; Heinz Koeppl; Tobias Meuser (CoRR, 2023)

Sparse Mean Field Load Balancing in Large Localized Queueing Systems. - Anam Tahir; Kai Cui 001; Heinz Koeppl (CoRR, 2023)

Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. - Christian Fabian 001; Kai Cui 001; Heinz Koeppl (IEEE Control. Syst. Lett., 2023)

Load Balancing in Compute Clusters With Delayed Feedback. - Anam Tahir; Bastian Alt; Amr Rizk; Heinz Koeppl (IEEE Trans. Computers, 2023)

Counting Processes With Piecewise-Deterministic Markov Conditional Intensity: Asymptotic Analysis, Implementation, and Information-Theoretic Use. - Mark Sinzger-D'Angelo; Heinz Koeppl (IEEE Trans. Inf. Theory, 2023)

Learning Discrete-Time Major-Minor Mean Field Games. - Kai Cui 001; Gökçe Dayanikli; Mathieu Laurière; Matthieu Geist; Olivier Pietquin; Heinz Koeppl (AAAI, 2024)

GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. - Fengyu Cai; Xinran Zhao; Hongming Zhang 009; Iryna Gurevych; Heinz Koeppl (ACL (Findings), 2024)

Approximate Control for Continuous-Time POMDPs. - Yannick Eich; Bastian Alt; Heinz Koeppl (AISTATS, 2024)

MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. - Fengyu Cai; Xinran Zhao; Tong Chen; Sihao Chen; Hongming Zhang 009; Iryna Gurevych; Heinz Koeppl (EMNLP, 2024)

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. - Kai Cui 001; Sascha Hauck; Christian Fabian 001; Heinz Koeppl (ICLR, 2024)

Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. - Christian Fabian 001; Kai Cui 001; Heinz Koeppl (ICLR, 2024)

Major-Minor Mean Field Multi-Agent Reinforcement Learning. - Kai Cui 001; Christian Fabian 001; Anam Tahir; Heinz Koeppl (ICML, 2024)

A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. - Mengguang Li; Kai Cui 001; Heinz Koeppl (ICRA, 2024)

Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. - Akash Kopparam Sreedhara; Deepesh Padala; Shashank Mahesh; Kai Cui 001; Mengguang Li; Heinz Koeppl (ICRA, 2024)

Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences. - Rui Huang; Sikun Yang; Heinz Koeppl (IJCAI, 2024)

Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory. - Maximilian Gehri; Nicolai Engelmann; Heinz Koeppl (ISIT, 2024)

A Survey of Confidence Estimation and Calibration in Large Language Models. - Jiahui Geng; Fengyu Cai; Yuxia Wang; Heinz Koeppl; Preslav Nakov; Iryna Gurevych (NAACL-HLT, 2024)

Collaborative Optimization of the Age of Information Under Partial Observability. - Anam Tahir; Kai Cui 001; Bastian Alt; Amr Rizk; Heinz Koeppl (IFIP Networking, 2024)

Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention. - Philipp Froehlich; Heinz Koeppl (NeurIPS, 2024)

Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism. - Philipp Froehlich; Heinz Koeppl (CoRR, 2024)

Poisson-Gamma Dynamical Systems with Non-Stationary Transition Dynamics. - Jiahao Wang; Sikun Yang; Heinz Koeppl; Xiuzhen Cheng 001; Pengfei Hu 001; Guoming Zhang (CoRR, 2024)

Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series. - Rui Huang; Sikun Yang; Heinz Koeppl (CoRR, 2024)

Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC. - Sikun Yang; Heinz Koeppl (CoRR, 2024)

FPGA-Based Neural Thrust Controller for UAVs. - Sharif Azem; David Scheunert; Mengguang Li; Jonas Gehrunger; Kai Cui 001; Christian Hochberger; Heinz Koeppl (CoRR, 2024)

Identification over Affine Poisson Channels: Applications to Molecular Mixture Communication Systems. - Mohammad Javad Salariseddigh; Heinz Koeppl; Holger Boche; Vahid Jamali (CoRR, 2024)

Hawkes Process Modelling for Chemical Reaction Networks in a Random Environment. - Mark Sinzger-D'Angelo; Jan Hasenauer; Heinz Koeppl (SIAM J. Appl. Dyn. Syst., 2024)

Biological engineering - an engineering discipline crucial to the future of our civilization. - Jürgen Adamy; Ulrike A. Nuber; Heinz Koeppl; Georg Bretthauer (Autom., 2024)

New biological solutions to the many problems of our time. - Douglas A. Lauffenburger; Heinz Koeppl (Autom., 2024)

Bounded Rationality Equilibrium Learning in Mean Field Games. - Yannick Eich; Christian Fabian 001; Kai Cui 001; Heinz Koeppl (AAAI, 2025)

Entropic Matching for Expectation Propagation of Markov Jump Processes. - Yannick Eich; Bastian Alt; Heinz Koeppl (AISTATS, 2025)

Learning Mean Field Control on Sparse Graphs. - Christian Fabian 001; Kai Cui 001; Heinz Koeppl (CoRR, 2025)

CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval. - Jiahui Geng; Fengyu Cai; Shaobo Cui 006; Qing Li 038; Liangwei Chen; Chenyang Lyu; Haonan Li; Derui Zhu; Walter Pretschner; Heinz Koeppl; Fakhri Karray (CoRR, 2025)

Revela: Dense Retriever Learning via Language Modeling. - Fengyu Cai; Tong Chen; Xinran Zhao; Sihao Chen; Hongming Zhang 009; Sherry Tongshuang Wu; Iryna Gurevych; Heinz Koeppl (CoRR, 2025)