Nico Piatkowski

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 67

Top Venues

Technical University of Dortmund, Germany (PHD)

Education History

Technical University of Dortmund, Germany

PHD

Publications

Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski
On the effects of biased quantum random numbers on the initialization of artificial neural networks. Mach. Learn. 113 (3) (2024)
Thore Gerlach, Stefan Knipp, David Biesner, Stelios Emmanouilidis, Klaus Hauber, Nico Piatkowski
FPGA-Placement via Quantum Annealing. FPGA (2024)
Nico Piatkowski, Christa Zoufal
Quantum circuits for discrete graphical models. Quantum Mach. Intell. 6 (2) (2024)
Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski
Explainable Quantum Machine Learning. CoRR (2023)
Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski
Computing Marginal and Conditional Divergences between Decomposable Models with Applications. ICDM (2023)
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
Shapley Values with Uncertain Value Functions. CoRR (2023)
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
Shapley Values with Uncertain Value Functions. IDA (2023)
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
Feature selection on quantum computers. Quantum Mach. Intell. 5 (1) (2023)
Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb
Computing Divergences between Discrete Decomposable Models. AAAI (2023)
Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski
Computing Marginal and Conditional Divergences between Decomposable Models with Applications. CoRR (2023)
Christian Bauckhage, Thore Gerlach, Nico Piatkowski
QUBOs for Sorting Lists and Building Trees. CoRR (2022)
Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich
Yes we care!-Certification for machine learning methods through the care label framework. Frontiers Artif. Intell. 5 (2022)
Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. CoRR (2022)
Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski
Quantum Circuit Evolution on NISQ Devices. CEC (2022)
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
Quantum Feature Selection. CoRR (2022)
Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. FUSION (2022)
Sascha Mücke, Nico Piatkowski
Quantum- Inspired Structure- Preserving Probabilistic Inference. CEC (2022)
Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski
Informed Pre-Training on Prior Knowledge. CoRR (2022)
Eldar Sultanow, Christian Bauckhage, Christian Knopf, Nico Piatkowski
Sicherheit von Quantum Machine Learning. Wirtschaftsinformatik Manag. 14 (2) (2022)
Malik Amir, Christian Bauckhage, Alina M. Chircu, Christian Czarnecki, Christian Knopf, Nico Piatkowski, Eldar Sultanow
What can we expect from Quantum (Digital) Twins? Wirtschaftsinformatik (2022)
Maurice Günder, Nico Piatkowski, Christian Bauckhage
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning. CoRR (2022)
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework. CoRR (2021)
Nico Piatkowski, Johannes Sebastian Mueller-Roemer, Peter Hasse, Adam Bachorek, Tim Werner, Pascal Birnstill, Andreas Morgenstern, Lutz Stobbe
Generative Machine Learning for Resource-Aware 5G and IoT Systems. ICC Workshops (2021)
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning. CoRR (2021)
Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb
Estimating Divergences in High Dimensions. CoRR (2021)
Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage
Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms. IEEE Access 9 (2021)
Nico Piatkowski, Peter N. Posch, Miguel Krause
How to Trust Generative Probabilistic Models for Time-Series Data? LION (2021)
Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. CoRR (2021)
Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik, Björn B. Brandenburg
Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF. RTSS (2021)
Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. CoRR (2021)
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops (2020)
Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations. CoRR (2020)
Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. ICPR (2020)
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
Resource-Constrained On-Device Learning by Dynamic Averaging. CoRR (2020)
Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld
Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction. IEEE Trans. Intell. Transp. Syst. 21 (8) (2020)
Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
The Channel as a Traffic Sensor: Vehicle Detection and Classification based on Radio Fingerprinting. CoRR (2020)
Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
The Channel as a Traffic Sensor: Vehicle Detection and Classification Based on Radio Fingerprinting. IEEE Internet Things J. 7 (8) (2020)
Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. DSAA (2020)
Lukas Franken, Bogdan Georgiev, Sascha Mücke, M. Wolter, Nico Piatkowski, Christian Bauckhage
Gradient-free quantum optimization on NISQ devices. CoRR (2020)
Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations. ICC (2020)
Amal Saadallah, Nico Piatkowski, Felix Finkeldey, Petra Wiederkehr, Katharina Morik
Learning Ensembles in the Presence of Imbalanced Classes. ICPRAM (2019)
Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel
A QUBO Formulation of the k-Medoids Problem. LWDA (2019)
Sascha Mücke, Nico Piatkowski, Katharina Morik
Hardware Acceleration of Machine Learning Beyond Linear Algebra. PKDD/ECML Workshops (1) (2019)
Mirko Bunse, Nico Piatkowski, Tim Ruhe, Katharina Morik, Wolfgang Rhode
A Data Science Perspective on Deconvolution. GI-Jahrestagung (2019)
Felix Gonsior, Nico Piatkowski, Katharina Morik
Another View on Optimization as Probabilistic Inference. LWDA (2019)
Sibylle Hess, Katharina Morik, Nico Piatkowski
The PRIMPing Routine - Tiling through Proximal Alternating Linearized Minimization. CoRR (2019)
Sascha Mücke, Nico Piatkowski, Katharina Morik
Learning Bit by Bit: Extracting the Essence of Machine Learning. LWDA (2019)
Sibylle Hess, Nico Piatkowski, Katharina Morik
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. CoRR (2019)
Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction. CoRR (2019)
Nico Piatkowski
Distributed Generative Modelling with Sub-linear Communication Overhead. PKDD/ECML Workshops (1) (2019)
Nico Piatkowski
Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees. ECML/PKDD (2) (2019)
Raphael Fischer, Nico Piatkowski, Katharina Morik
Parameter Sharing for Spatio-Temporal Process Models. LWDA (2019)
Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode
Unification of Deconvolution Algorithms for Cherenkov Astronomy. DSAA (2018)
Robert Falkenberg, Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators. CoRR (2018)
Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik
Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems. ECRTS (2018)
Sibylle Hess, Nico Piatkowski, Katharina Morik
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. SDM (2018)
Benjamin Sliwa, Nico Piatkowski, Marcus Haferkamp, Dennis Dorn, Christian Wietfeld
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting. ITSC (2018)
Nico Piatkowski, Katharina Morik
Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation. UAI (2018)
Mirko Bunse, Nico Piatkowski, Katharina Morik
Towards a Unifying View on Deconvolution in Cherenkov Astronomy. LWDA (2018)
Robert Falkenberg, Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators. VTC Fall (2018)
Benjamin Sliwa, Nico Piatkowski, Marcus Haferkamp, Dennis Dorn, Christian Wietfeld
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting. CoRR (2018)
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
Dynamic route planning with real-time traffic predictions. Inf. Syst. 64 (2017)
Sibylle Hess, Katharina Morik, Nico Piatkowski
The PRIMPING routine - Tiling through proximal alternating linearized minimization. Data Min. Knowl. Discov. 31 (4) (2017)
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
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. ECML/PKDD (3) (2016)
Nico Piatkowski, Katharina Morik
Stochastic Discrete Clenshaw-Curtis Quadrature. ICML (2016)
Nico Piatkowski, Sangkyun Lee, Katharina Morik
Integer undirected graphical models for resource-constrained systems. Neurocomputing 173 (2016)
Nico Piatkowski, François Schnitzler
Compressible Reparametrization of Time-Variant Linear Dynamical Systems. Solving Large Scale Learning Tasks (2016)
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
Route Planning with Real-Time Traffic Predictions. LWA (2014)
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
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. ECML/PKDD (3) (2014)
Nico Piatkowski, Sangkyun Lee, Katharina Morik
The Integer Approximation of Undirected Graphical Models. ICPRAM (2014)
Nico Piatkowski, Katharina Morik
Towards an Integer Approximation of Undirected Graphical Models. LWA (2014)
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
Predictive Trip Planning - Smart Routing in Smart Cities. EDBT/ICDT Workshops (2014)
Sibylle Hess, Nico Piatkowski, Katharina Morik
SHrimp: Descriptive Patterns in a Tree. LWA (2014)
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
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. EDBT (2014)
Nico Piatkowski, Jochen Streicher, Olaf Spinczyk, Katharina Morik
Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems. MSM/MUSE (2013)
Nico Piatkowski, Sangkyun Lee, Katharina Morik
Spatio-temporal random fields: compressible representation and distributed estimation. Mach. Learn. 93 (1) (2013)
Nico Piatkowski, Katharina Morik
Parallel Loopy Belief Propagation in Conditional Random Fields. LWA (2011)
Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe
Towards Adjusting Mobile Devices to User's Behaviour. LWA (2010)
Mike Preuss, Nicola Beume, Holger Danielsiek, Tobias Hein, Boris Naujoks, Nico Piatkowski, Raphael Stür, Andreas Thom, Simon Wessing
Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games. IEEE Trans. Comput. Intell. AI Games 2 (2) (2010)
Katharina Morik, Felix Jungermann, Nico Piatkowski, Michael Engel
Enhancing Ubiquitous Systems through System Call Mining. ICDM Workshops (2010)
Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe, Jochen Streicher
Towards Adjusting Mobile Devices to User's Behaviour. MSM/MUSE (2010)
Nicola Beume, Tobias Hein, Boris Naujoks, Georg Neugebauer, Nico Piatkowski, Mike Preuss, Raphael Stür, Andreas Thom
To model or not to model: Controlling Pac-Man ghosts without incorporating global knowledge. IEEE Congress on Evolutionary Computation (2008)
Nicola Beume, Tobias Hein, Boris Naujoks, Nico Piatkowski, Mike Preuss, Simon Wessing
Intelligent anti-grouping in real-time strategy games. CIG (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nico Piatkowski