To model or not to model: Controlling Pac-Man ghosts without incorporating global knowledge. - Nicola Beume; Tobias Hein; Boris Naujoks; Georg Neugebauer; Nico Piatkowski; Mike Preuss; Raphael Stür; Andreas Thom 001 (IEEE Congress on Evolutionary Computation, 2008)

Intelligent anti-grouping in real-time strategy games. - Nicola Beume; Tobias Hein; Boris Naujoks; Nico Piatkowski; Mike Preuss; Simon Wessing (CIG, 2008)

Towards Adjusting Mobile Devices to User's Behaviour. - Peter Fricke; Felix Jungermann; Katharina Morik; Nico Piatkowski; Olaf Spinczyk; Marco Stolpe; Jochen Streicher (MSM/MUSE, 2010)

Enhancing Ubiquitous Systems through System Call Mining. - Katharina Morik; Felix Jungermann; Nico Piatkowski; Michael Engel (ICDM Workshops, 2010)

Towards Adjusting Mobile Devices to User's Behaviour. - Peter Fricke; Felix Jungermann; Katharina Morik; Nico Piatkowski; Olaf Spinczyk; Marco Stolpe (LWA, 2010)

Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games. - Mike Preuss; Nicola Beume; Holger Danielsiek; Tobias Hein; Boris Naujoks; Nico Piatkowski; Raphael Stür; Andreas Thom 001; Simon Wessing (IEEE Trans. Comput. Intell. AI Games, 2010)

Parallel Loopy Belief Propagation in Conditional Random Fields. - Nico Piatkowski; Katharina Morik (LWA, 2011)

Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems. - Nico Piatkowski; Jochen Streicher; Olaf Spinczyk; Katharina Morik (MSM/MUSE, 2013)

Spatio-temporal random fields: compressible representation and distributed estimation. - Nico Piatkowski; Sangkyun Lee 002; Katharina Morik (Mach. Learn., 2013)

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. - Alexander Artikis; Matthias Weidlich 001; François Schnitzler; Ioannis Boutsis; Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik; Vana Kalogeraki; Jakub Marecek; Avigdor Gal; Shie Mannor; et al. (EDBT, 2014)

Predictive Trip Planning - Smart Routing in Smart Cities. - Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik (EDBT/ICDT Workshops, 2014)

The Integer Approximation of Undirected Graphical Models. - Nico Piatkowski; Sangkyun Lee 002; Katharina Morik (ICPRAM, 2014)

SHrimp: Descriptive Patterns in a Tree. - Sibylle Hess; Nico Piatkowski; Katharina Morik (LWA, 2014)

Route Planning with Real-Time Traffic Predictions. - Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik (LWA, 2014)

Towards an Integer Approximation of Undirected Graphical Models. - Nico Piatkowski; Katharina Morik (LWA, 2014)

Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. - François Schnitzler; Alexander Artikis; Matthias Weidlich 001; Ioannis Boutsis; Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik; Vana Kalogeraki; Jakub Marecek; Avigdor Gal; Shie Mannor; et al. (ECML/PKDD (3), 2014)

Compressible Reparametrization of Time-Variant Linear Dynamical Systems. - Nico Piatkowski; François Schnitzler (Solving Large Scale Learning Tasks, 2016)

Stochastic Discrete Clenshaw-Curtis Quadrature. - Nico Piatkowski; Katharina Morik (ICML, 2016)

INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. - Nikolaos Panagiotou; Nikolas Zygouras; Ioannis Katakis 001; Dimitrios Gunopulos; Nikos Zacheilas; Ioannis Boutsis; Vana Kalogeraki; Stephen Lynch; Brendan O'Brien; Dermot Kinane; Jakub Marecek; Jia Yuan Yu; et al. (ECML/PKDD (3), 2016)

Integer undirected graphical models for resource-constrained systems. - Nico Piatkowski; Sangkyun Lee 002; Katharina Morik (Neurocomputing, 2016)

The PRIMPING routine - Tiling through proximal alternating linearized minimization. - Sibylle Hess; Katharina Morik; Nico Piatkowski (Data Min. Knowl. Discov., 2017)

Dynamic route planning with real-time traffic predictions. - Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik (Inf. Syst., 2017)

Unification of Deconvolution Algorithms for Cherenkov Astronomy. - Mirko Bunse; Nico Piatkowski; Katharina Morik; Tim Ruhe; Wolfgang Rhode (DSAA, 2018)

Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems. - Georg von der Brüggen; Nico Piatkowski; Kuan-Hsun Chen; Jian-Jia Chen; Katharina Morik (ECRTS, 2018)

Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting. - Benjamin Sliwa; Nico Piatkowski; Marcus Haferkamp; Dennis Dorn; Christian Wietfeld (ITSC, 2018)

Towards a Unifying View on Deconvolution in Cherenkov Astronomy. - Mirko Bunse; Nico Piatkowski; Katharina Morik (LWDA, 2018)

The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. - Sibylle Hess; Nico Piatkowski; Katharina Morik (SDM, 2018)

Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation. - Nico Piatkowski; Katharina Morik (UAI, 2018)

Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators. - Robert Falkenberg; Benjamin Sliwa; Nico Piatkowski; Christian Wietfeld (VTC Fall, 2018)

Exponential families on resource-constrained systems. - Nico Piatkowski (2018)

Exponential families on resource-constrained systems. - Nico Philipp Piatkowski (Ausgezeichnete Informatikdissertationen, 2018)

A Data Science Perspective on Deconvolution. - Mirko Bunse; Nico Piatkowski; Tim Ruhe; Katharina Morik; Wolfgang Rhode (GI-Jahrestagung, 2019)

Learning Ensembles in the Presence of Imbalanced Classes. - Amal Saadallah; Nico Piatkowski; Felix Finkeldey; Petra Wiederkehr; Katharina Morik (ICPRAM, 2019)

A QUBO Formulation of the k-Medoids Problem. - Christian Bauckhage; Nico Piatkowski; Rafet Sifa; Dirk Hecker; Stefan Wrobel (LWDA, 2019)

Parameter Sharing for Spatio-Temporal Process Models. - Raphael Fischer 001; Nico Piatkowski; Katharina Morik (LWDA, 2019)

Another View on Optimization as Probabilistic Inference. - Felix Gonsior; Nico Piatkowski; Katharina Morik (LWDA, 2019)

Learning Bit by Bit: Extracting the Essence of Machine Learning. - Sascha Mücke; Nico Piatkowski; Katharina Morik (LWDA, 2019)

Hardware Acceleration of Machine Learning Beyond Linear Algebra. - Sascha Mücke; Nico Piatkowski; Katharina Morik (PKDD/ECML Workshops (1), 2019)

Distributed Generative Modelling with Sub-linear Communication Overhead. - Nico Piatkowski (PKDD/ECML Workshops (1), 2019)

Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees. - Nico Piatkowski (ECML/PKDD (2), 2019)

No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. - Raphael Fischer 001; Nico Piatkowski; Charlotte Pelletier; Geoffrey I. Webb; François Petitjean; Katharina Morik (DSAA, 2020)

LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations. - Benjamin Sliwa; Nico Piatkowski; Christian Wietfeld (ICC, 2020)

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. - Laura von Rüden; Tim Wirtz; Fabian Hüger; Jan David Schneider; Nico Piatkowski; Christian Bauckhage (ICPR, 2020)

Resource-Constrained On-Device Learning by Dynamic Averaging. - Lukas Heppe; Michael Kamp; Linara Adilova; Danny Heinrich; Nico Piatkowski; Katharina Morik (PKDD/ECML Workshops, 2020)

Gradient-free quantum optimization on NISQ devices. - Lukas Franken; Bogdan Georgiev; Sascha Mücke; Moritz Wolter; Nico Piatkowski; Christian Bauckhage (CoRR, 2020)

The Channel as a Traffic Sensor: Vehicle Detection and Classification Based on Radio Fingerprinting. - Benjamin Sliwa; Nico Piatkowski; Christian Wietfeld (IEEE Internet Things J., 2020)

Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction. - Benjamin Sliwa; Robert Falkenberg; Thomas Liebig; Nico Piatkowski; Christian Wietfeld (IEEE Trans. Intell. Transp. Syst., 2020)

Generative Machine Learning for Resource-Aware 5G and IoT Systems. - Nico Piatkowski; Johannes Sebastian Mueller-Roemer; Peter Hasse; Adam Bachorek; Tim Werner; Pascal Birnstill; Andreas Morgenstern; Lutz Stobbe (ICC Workshops, 2021)

How to Trust Generative Probabilistic Models for Time-Series Data? - Nico Piatkowski; Peter N. Posch; Miguel Krause (LION, 2021)

Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF. - Georg von der Brüggen; Nico Piatkowski; Kuan-Hsun Chen; Jian-Jia Chen; Katharina Morik; Björn B. Brandenburg (RTSS, 2021)

Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms. - Maurice Günder; Nico Piatkowski; Laura von Rüden; Rafet Sifa; Christian Bauckhage (IEEE Access, 2021)

The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning. - Katharina Morik; Helena Kotthaus; Lukas Heppe; Danny Heinrich; Raphael Fischer 001; Andreas Pauly; Nico Piatkowski (CoRR, 2021)

Estimating Divergences in High Dimensions. - Loong Kuan Lee; Nico Piatkowski; François Petitjean; Geoffrey I. Webb (CoRR, 2021)

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. - Maurice Günder; Nico Piatkowski; Laura von Rüden; Rafet Sifa; Christian Bauckhage (CoRR, 2021)

Integer Exponential Families. - Nico Piatkowski (Mach. Learn. under Resour. Constraints Vol. 1 (1), 2022)

Spatio-Temporal Random Fields. - Nico Piatkowski; Katharina Morik (Mach. Learn. under Resour. Constraints Vol. 1 (1), 2022)

Quantum Circuit Evolution on NISQ Devices. - Lukas Franken; Bogdan Georgiev; Sascha Mücke; Moritz Wolter; Raoul Heese; Christian Bauckhage; Nico Piatkowski (CEC, 2022)

Quantum- Inspired Structure- Preserving Probabilistic Inference. - Sascha Mücke; Nico Piatkowski (CEC, 2022)

Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. - Nico Piatkowski; Thore Gerlach; Romain Hugues; Rafet Sifa; Christian Bauckhage; Frédéric Barbaresco (FUSION, 2022)

What can we expect from Quantum (Digital) Twins? - Malik Amir; Christian Bauckhage; Alina M. Chircu; Christian Czarnecki; Christian Knopf; Nico Piatkowski; Eldar Sultanow (Wirtschaftsinformatik, 2022)

QUBOs for Sorting Lists and Building Trees. - Christian Bauckhage; Thore Gerlach; Nico Piatkowski (CoRR, 2022)

Quantum Feature Selection. - Sascha Mücke; Raoul Heese; Sabine Müller 001; Moritz Wolter; Nico Piatkowski (CoRR, 2022)

Informed Pre-Training on Prior Knowledge. - Laura von Rüden; Sebastian Houben; Kostadin Cvejoski; Christian Bauckhage; Nico Piatkowski (CoRR, 2022)

Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning. - Maurice Günder; Nico Piatkowski; Christian Bauckhage (CoRR, 2022)

Yes we care!-Certification for machine learning methods through the care label framework. - Katharina Morik; Helena Kotthaus; Raphael Fischer 001; Sascha Mücke; Matthias Jakobs; Nico Piatkowski; Andreas Pauly; Lukas Heppe; Danny Heinrich (Frontiers Artif. Intell., 2022)

Sicherheit von Quantum Machine Learning. - Eldar Sultanow; Christian Bauckhage; Christian Knopf; Nico Piatkowski (Wirtschaftsinformatik Manag., 2022)

Computing Divergences between Discrete Decomposable Models. - Loong Kuan Lee; Nico Piatkowski; François Petitjean; Geoffrey I. Webb (AAAI, 2023)

Computing Marginal and Conditional Divergences between Decomposable Models with Applications. - Loong Kuan Lee; Geoffrey I. Webb; Daniel F. Schmidt; Nico Piatkowski (ICDM, 2023)

Shapley Values with Uncertain Value Functions. - Raoul Heese; Sascha Mücke; Matthias Jakobs; Thore Gerlach; Nico Piatkowski (IDA, 2023)

Explainable Quantum Machine Learning. - Raoul Heese; Thore Gerlach; Sascha Mücke; Sabine Müller 001; Matthias Jakobs; Nico Piatkowski (CoRR, 2023)

Feature selection on quantum computers. - Sascha Mücke; Raoul Heese; Sabine Müller 001; Moritz Wolter; Nico Piatkowski (Quantum Mach. Intell., 2023)

FPGA-Placement via Quantum Annealing. - Thore Gerlach; Stefan Knipp; David Biesner; Stelios Emmanouilidis; Klaus Hauber; Nico Piatkowski (FPGA, 2024)

Real-Part Quantum Support Vector Machines. - Nico Piatkowski; Sascha Mücke (ECML/PKDD (8), 2024)

Quantum Optimization for FPGA-Placement. - Thore Gerlach; Stefan Knipp; David Biesner; Stelios Emmanouilidis; Klaus Hauber; Nico Piatkowski (QCE, 2024)

Dynamic Range Reduction via Branch-and-Bound. - Thore Gerlach; Nico Piatkowski (CoRR, 2024)

On the effects of biased quantum random numbers on the initialization of artificial neural networks. - Raoul Heese; Moritz Wolter; Sascha Mücke; Lukas Franken; Nico Piatkowski (Mach. Learn., 2024)

Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation. - Loong Kuan Lee; Geoffrey I. Webb; Daniel F. Schmidt; Nico Piatkowski (Knowl. Inf. Syst., 2024)

Quantum circuits for discrete graphical models. - Nico Piatkowski; Christa Zoufal (Quantum Mach. Intell., 2024)

Hybrid Quantum-Classical Multi-Agent Pathfinding. - Thore Gerlach; Loong Kuan Lee; Frédéric Barbaresco; Nico Piatkowski (CoRR, 2025)

Expressive equivalence of classical and quantum restricted Boltzmann machines. - Maria Demidik; Cenk Tüysüz; Nico Piatkowski; Michele Grossi; Karl Jansen (CoRR, 2025)

Standardization of Multi-Objective QUBOs. - Loong Kuan Lee; Thore Gerlach; Nico Piatkowski (CoRR, 2025)

Quantum Adiabatic Generation of Human-Like Passwords. - Sascha Mücke; Raoul Heese; Thore Gerlach; David Biesner; Loong Kuan Lee; Nico Piatkowski (CoRR, 2025)

Explaining quantum circuits with Shapley values: towards explainable quantum machine learning. - Raoul Heese; Thore Gerlach; Sascha Mücke; Sabine Müller 001; Matthias Jakobs; Nico Piatkowski (Quantum Mach. Intell., 2025)

Optimum-preserving QUBO parameter compression. - Sascha Mücke; Thore Gerlach; Nico Piatkowski (Quantum Mach. Intell., 2025)