Nico Piatkowski

According to our database, Nico Piatkowski authored at least 73 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

FPGA-Placement via Quantum Annealing.

Thore Gerlach, Stefan Knipp, David Biesner, Stelios Emmanouilidis, Klaus Hauber, Nico Piatkowski

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023

Feature selection on quantum computers.

Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski

Quantum Mach. Intell., June, 2023

Explainable Quantum Machine Learning.

Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski

CoRR, 2023

Shapley Values with Uncertain Value Functions.

Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Computing Marginal and Conditional Divergences between Decomposable Models with Applications.

Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski

Proceedings of the IEEE International Conference on Data Mining, 2023

Computing Divergences between Discrete Decomposable Models.

Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Sicherheit von Quantum Machine Learning.

Eldar Sultanow, Christian Bauckhage, Christian Knopf, Nico Piatkowski

Wirtschaftsinformatik Manag., 2022

Yes we care!-Certification for machine learning methods through the care label framework.

Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich

Frontiers Artif. Intell., 2022

Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning.

Maurice Günder, Nico Piatkowski, Christian Bauckhage

CoRR, 2022

Informed Pre-Training on Prior Knowledge.

Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski

CoRR, 2022

Quantum Feature Selection.

Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski

CoRR, 2022

QUBOs for Sorting Lists and Building Trees.

Christian Bauckhage, Thore Gerlach, Nico Piatkowski

CoRR, 2022

What can we expect from Quantum (Digital) Twins?

Malik Amir, Christian Bauckhage, Alina M. Chircu, Christian Czarnecki, Christian Knopf, Nico Piatkowski, Eldar Sultanow

Proceedings of the WI for Grand Challenges, 2022

Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning.

Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco

Proceedings of the 25th International Conference on Information Fusion, 2022

Quantum- Inspired Structure- Preserving Probabilistic Inference.

Sascha Mücke, Nico Piatkowski

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Quantum Circuit Evolution on NISQ Devices.

Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Spatio-Temporal Random Fields.

Nico Piatkowski, Katharina Morik

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

Integer Exponential Families.

Nico Piatkowski

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

2021

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention.

Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage

CoRR, 2021

Estimating Divergences in High Dimensions.

Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb

CoRR, 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, Andreas Pauly, Nico Piatkowski

CoRR, 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

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

Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

How to Trust Generative Probabilistic Models for Time-Series Data?

Nico Piatkowski, Peter N. Posch, Miguel Krause

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

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

Proceedings of the IEEE International Conference on Communications Workshops, 2021

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

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

Gradient-free quantum optimization on NISQ devices.

Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage

CoRR, 2020

Resource-Constrained On-Device Learning by Dynamic Averaging.

Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik

Proceedings of the ECML PKDD 2020 Workshops, 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

Proceedings of the 25th International Conference on Pattern Recognition, 2020

LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations.

Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld

Proceedings of the 2020 IEEE International Conference on Communications, 2020

No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series.

Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees.

Nico Piatkowski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Distributed Generative Modelling with Sub-linear Communication Overhead.

Nico Piatkowski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Hardware Acceleration of Machine Learning Beyond Linear Algebra.

Sascha Mücke, Nico Piatkowski, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Learning Bit by Bit: Extracting the Essence of Machine Learning.

Sascha Mücke, Nico Piatkowski, Katharina Morik

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Another View on Optimization as Probabilistic Inference.

Felix Gonsior, Nico Piatkowski, Katharina Morik

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Parameter Sharing for Spatio-Temporal Process Models.

Raphael Fischer, Nico Piatkowski, Katharina Morik

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

A QUBO Formulation of the k-Medoids Problem.

Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Learning Ensembles in the Presence of Imbalanced Classes.

Amal Saadallah, Nico Piatkowski, Felix Finkeldey, Petra Wiederkehr, Katharina Morik

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

A Data Science Perspective on Deconvolution.

Mirko Bunse, Nico Piatkowski, Tim Ruhe, Katharina Morik, Wolfgang Rhode

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

Exponential families on resource-constrained systems.

Nico Philipp Piatkowski

Proceedings of the Ausgezeichnete Informatikdissertationen 2018., 2018

Exponential families on resource-constrained systems.

Nico Piatkowski

PhD thesis, 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

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation.

Nico Piatkowski, Katharina Morik

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization.

Sibylle Hess, Nico Piatkowski, Katharina Morik

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Towards a Unifying View on Deconvolution in Cherenkov Astronomy.

Mirko Bunse, Nico Piatkowski, Katharina Morik

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 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

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 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

Proceedings of the 30th Euromicro Conference on Real-Time Systems, 2018

Unification of Deconvolution Algorithms for Cherenkov Astronomy.

Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Dynamic route planning with real-time traffic predictions.

Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik

Inf. Syst., 2017

The PRIMPING routine - Tiling through proximal alternating linearized minimization.

Sibylle Hess, Katharina Morik, Nico Piatkowski

Data Min. Knowl. Discov., 2017

2016

Integer undirected graphical models for resource-constrained systems.

Nico Piatkowski, Sangkyun Lee, Katharina Morik

Neurocomputing, 2016

INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data.

Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Stochastic Discrete Clenshaw-Curtis Quadrature.

Nico Piatkowski, Katharina Morik

Proceedings of the 33nd International Conference on Machine Learning, 2016

Compressible Reparametrization of Time-Variant Linear Dynamical Systems.

Nico Piatkowski, François Schnitzler

Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2014

Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights.

François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Towards an Integer Approximation of Undirected Graphical Models.

Nico Piatkowski, Katharina Morik

Proceedings of the 16th LWA Workshops: KDML, 2014

Route Planning with Real-Time Traffic Predictions.

Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik

Proceedings of the 16th LWA Workshops: KDML, 2014

SHrimp: Descriptive Patterns in a Tree.

Sibylle Hess, Nico Piatkowski, Katharina Morik

Proceedings of the 16th LWA Workshops: KDML, 2014

The Integer Approximation of Undirected Graphical Models.

Nico Piatkowski, Sangkyun Lee, Katharina Morik

Proceedings of the ICPRAM 2014, 2014

Predictive Trip Planning - Smart Routing in Smart Cities.

Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.

Alexander Artikis, Matthias Weidlich, François Schnitzler, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dimitrios Gunopulos, Dermot Kinane

Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013

Spatio-temporal random fields: compressible representation and distributed estimation.

Nico Piatkowski, Sangkyun Lee, Katharina Morik

Mach. Learn., 2013

Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems.

Nico Piatkowski, Jochen Streicher, Olaf Spinczyk, Katharina Morik

Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013

2011

Parallel Loopy Belief Propagation in Conditional Random Fields.

Nico Piatkowski, Katharina Morik

Proceedings of the Report of the symposium "Lernen, 2011

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, Simon Wessing

IEEE Trans. Comput. Intell. AI Games, 2010

Towards Adjusting Mobile Devices to User's Behaviour.

Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe

Proceedings of the LWA 2010, 2010

Enhancing Ubiquitous Systems through System Call Mining.

Katharina Morik, Felix Jungermann, Nico Piatkowski, Michael Engel

Proceedings of the ICDMW 2010, 2010

Towards Adjusting Mobile Devices to User's Behaviour.

Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe, Jochen Streicher

Proceedings of the Analysis of Social Media and Ubiquitous Data, 2010

2008

Intelligent anti-grouping in real-time strategy games.

Nicola Beume, Tobias Hein, Boris Naujoks, Nico Piatkowski, Mike Preuss, Simon Wessing

Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2008