Nico Piatkowski

104 papers A* 4A 4B 10C 3Misc 1Journal 45Unranked 30
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explaining quantum circuits with Shapley values: towards explainable quantum machine learning.
Quantum Mach. Intell.
Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski
2025 J jnl
Expressive equivalence of classical and quantum restricted Boltzmann machines.
CoRR
Maria Demidik, Cenk Tüysüz, Nico Piatkowski, Michele Grossi, Karl Jansen
2025 J jnl
Hot-Starting Quantum Portfolio Optimization.
CoRR
Sebastian Schlütter, Tomislav Maras, Alexander Dotterweich, Nico Piatkowski
2025 A* conf
Hybrid Quantum-Classical Multi-Agent Pathfinding.
ICML
Thore Gerlach, Loong Kuan Lee, Frédéric Barbaresco, Nico Piatkowski
2025 J jnl
Hybrid Quantum-Classical Multi-Agent Pathfinding.
CoRR
Thore Gerlach, Loong Kuan Lee, Frédéric Barbaresco, Nico Piatkowski
2025 B conf
Multi-Objective Quantum Power System Redispatch.
DSAA
Loong Kuan Lee, Thore Gerlach, Johannes Knaute, Florian Gerhardt, Patrick Völker, Tomislav Maras, Alexander Dotterweich, Nico Piatkowski
2025 J jnl
Optimum-preserving QUBO parameter compression.
Quantum Mach. Intell.
Sascha Mücke, Thore Gerlach, Nico Piatkowski
2025 J jnl
QUBOLite: A lightweigth Python toolkit for QUBO.
CoRR
Sascha Mücke, Thore Gerlach, Nico Piatkowski, Lukas Theißinger
2025 J jnl
Quantum Adiabatic Generation of Human-Like Passwords.
CoRR
Sascha Mücke, Raoul Heese, Thore Gerlach, David Biesner, Loong Kuan Lee, Nico Piatkowski
2025 J jnl
Standardization of Multi-Objective QUBOs.
CoRR
Loong Kuan Lee, Thore Gerlach, Nico Piatkowski
2024 — ed.
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part I
IDA (1)
Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou
2024 — ed.
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part II
IDA (2)
Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou
2024 J jnl
Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation.
Knowl. Inf. Syst.
Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski
2024 J jnl
Dynamic Range Reduction via Branch-and-Bound.
CoRR
Thore Gerlach, Nico Piatkowski
2024 A conf
FPGA-Placement via Quantum Annealing.
FPGA
Thore Gerlach, Stefan Knipp, David Biesner, Stelios Emmanouilidis, Klaus Hauber, Nico Piatkowski
2024 J jnl
On the effects of biased quantum random numbers on the initialization of artificial neural networks.
Mach. Learn.
Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski
2024 Misc conf
Quantum Optimization for FPGA-Placement.
QCE
Thore Gerlach, Stefan Knipp, David Biesner, Stelios Emmanouilidis, Klaus Hauber, Nico Piatkowski
2024 J jnl
Quantum circuits for discrete graphical models.
Quantum Mach. Intell.
Nico Piatkowski, Christa Zoufal
2024 — conf
Real-Part Quantum Support Vector Machines.
ECML/PKDD (8)
Nico Piatkowski, Sascha Mücke
2023 A* conf
Computing Divergences between Discrete Decomposable Models.
AAAI
Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb
2023 A* conf
Computing Marginal and Conditional Divergences between Decomposable Models with Applications.
ICDM
Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski
2023 J jnl
Computing Marginal and Conditional Divergences between Decomposable Models with Applications.
CoRR
Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski
2023 J jnl
Explainable Quantum Machine Learning.
CoRR
Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski
2023 J jnl
Feature selection on quantum computers.
Quantum Mach. Intell.
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
2023 B conf
Shapley Values with Uncertain Value Functions.
IDA
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
2023 J jnl
Shapley Values with Uncertain Value Functions.
CoRR
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
2022 J jnl
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning.
CoRR
Maurice Günder, Nico Piatkowski, Christian Bauckhage
2022 J jnl
Informed Pre-Training on Prior Knowledge.
CoRR
Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski
2022 — ch.
Integer Exponential Families.
Mach. Learn. under Resour. Constraints Vol. 1 (1)
Nico Piatkowski
2022 J jnl
QUBOs for Sorting Lists and Building Trees.
CoRR
Christian Bauckhage, Thore Gerlach, Nico Piatkowski
2022 B conf
Quantum Circuit Evolution on NISQ Devices.
CEC
Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski
2022 J jnl
Quantum Feature Selection.
CoRR
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
2022 B conf
Quantum- Inspired Structure- Preserving Probabilistic Inference.
CEC
Sascha Mücke, Nico Piatkowski
2022 J jnl
Sicherheit von Quantum Machine Learning.
Wirtschaftsinformatik Manag.
Eldar Sultanow, Christian Bauckhage, Christian Knopf, Nico Piatkowski
2022 — ch.
Spatio-Temporal Random Fields.
Mach. Learn. under Resour. Constraints Vol. 1 (1)
Nico Piatkowski, Katharina Morik
2022 C conf
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning.
FUSION
Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco
2022 J jnl
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning.
CoRR
Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco
2022 — conf
What can we expect from Quantum (Digital) Twins?
Wirtschaftsinformatik
Malik Amir, Christian Bauckhage, Alina M. Chircu, Christian Czarnecki, Christian Knopf, Nico Piatkowski, Eldar Sultanow
2022 J jnl
Yes we care!-Certification for machine learning methods through the care label framework.
Frontiers Artif. Intell.
Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich
2021 A conf
Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF.
RTSS
Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik, Björn B. Brandenburg
2021 J jnl
Estimating Divergences in High Dimensions.
CoRR
Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb
2021 J jnl
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention.
CoRR
Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage
2021 — conf
Generative Machine Learning for Resource-Aware 5G and IoT Systems.
ICC Workshops
Nico Piatkowski, Johannes Sebastian Mueller-Roemer, Peter Hasse, Adam Bachorek, Tim Werner, Pascal Birnstill, Andreas Morgenstern, Lutz Stobbe
2021 — conf
How to Trust Generative Probabilistic Models for Time-Series Data?
LION
Nico Piatkowski, Peter N. Posch, Miguel Krause
2021 J jnl
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving.
CoRR
Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage
2021 J jnl
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning.
CoRR
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski
2021 J jnl
Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms.
IEEE Access
Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage
2021 J jnl
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework.
CoRR
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski
2020 J jnl
Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction.
IEEE Trans. Intell. Transp. Syst.
Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld
2020 J jnl
Gradient-free quantum optimization on NISQ devices.
CoRR
Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage
2020 — conf
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations.
ICC
Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
2020 J jnl
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations.
CoRR
Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
2020 B conf
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series.
DSAA
Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik
2020 — ed.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Online, September 9-11, 2020.
LWDA
Daniel Trabold, Pascal Welke, Nico Piatkowski
2020 — conf
Resource-Constrained On-Device Learning by Dynamic Averaging.
PKDD/ECML Workshops
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
2020 J jnl
Resource-Constrained On-Device Learning by Dynamic Averaging.
CoRR
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
2020 B conf
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving.
ICPR
Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage
2020 J jnl
The Channel as a Traffic Sensor: Vehicle Detection and Classification Based on Radio Fingerprinting.
IEEE Internet Things J.
Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
2020 J jnl
The Channel as a Traffic Sensor: Vehicle Detection and Classification based on Radio Fingerprinting.
CoRR
Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
2019 — conf
A Data Science Perspective on Deconvolution.
GI-Jahrestagung
Mirko Bunse, Nico Piatkowski, Tim Ruhe, Katharina Morik, Wolfgang Rhode
2019 — conf
A QUBO Formulation of the k-Medoids Problem.
LWDA
Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel
2019 — conf
Another View on Optimization as Probabilistic Inference.
LWDA
Felix Gonsior, Nico Piatkowski, Katharina Morik
2019 J jnl
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction.
CoRR
Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld
2019 — conf
Distributed Generative Modelling with Sub-linear Communication Overhead.
PKDD/ECML Workshops (1)
Nico Piatkowski
2019 — conf
Hardware Acceleration of Machine Learning Beyond Linear Algebra.
PKDD/ECML Workshops (1)
Sascha Mücke, Nico Piatkowski, Katharina Morik
2019 — conf
Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees.
ECML/PKDD (2)
Nico Piatkowski
2019 — conf
Learning Bit by Bit: Extracting the Essence of Machine Learning.
LWDA
Sascha Mücke, Nico Piatkowski, Katharina Morik
2019 C conf
Learning Ensembles in the Presence of Imbalanced Classes.
ICPRAM
Amal Saadallah, Nico Piatkowski, Felix Finkeldey, Petra Wiederkehr, Katharina Morik
2019 — conf
Parameter Sharing for Spatio-Temporal Process Models.
LWDA
Raphael Fischer, Nico Piatkowski, Katharina Morik
2019 J jnl
The PRIMPing Routine - Tiling through Proximal Alternating Linearized Minimization.
CoRR
Sibylle Hess, Katharina Morik, Nico Piatkowski
2019 J jnl
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization.
CoRR
Sibylle Hess, Nico Piatkowski, Katharina Morik
2018 B conf
Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems.
ECRTS
Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik
2018 — —
Exponential families on resource-constrained systems.
Nico Piatkowski
2018 A conf
Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation.
UAI
Nico Piatkowski, Katharina Morik
2018 — conf
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting.
ITSC
Benjamin Sliwa, Nico Piatkowski, Marcus Haferkamp, Dennis Dorn, Christian Wietfeld
2018 J jnl
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting.
CoRR
Benjamin Sliwa, Nico Piatkowski, Marcus Haferkamp, Dennis Dorn, Christian Wietfeld
2018 — conf
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators.
VTC Fall
Robert Falkenberg, Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
2018 J jnl
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators.
CoRR
Robert Falkenberg, Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
2018 A conf
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization.
SDM
Sibylle Hess, Nico Piatkowski, Katharina Morik
2018 — conf
Towards a Unifying View on Deconvolution in Cherenkov Astronomy.
LWDA
Mirko Bunse, Nico Piatkowski, Katharina Morik
2018 B conf
Unification of Deconvolution Algorithms for Cherenkov Astronomy.
DSAA
Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode
2017 J jnl
Dynamic route planning with real-time traffic predictions.
Inf. Syst.
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
2017 J jnl
The PRIMPING routine - Tiling through proximal alternating linearized minimization.
Data Min. Knowl. Discov.
Sibylle Hess, Katharina Morik, Nico Piatkowski
2016 — conf
Compressible Reparametrization of Time-Variant Linear Dynamical Systems.
Solving Large Scale Learning Tasks
Nico Piatkowski, François Schnitzler
2016 — conf
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data.
ECML/PKDD (3)
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
2016 J jnl
Integer undirected graphical models for resource-constrained systems.
Neurocomputing
Nico Piatkowski, Sangkyun Lee, Katharina Morik
2016 — ed.
Solving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday
Solving Large Scale Learning Tasks
Stefan Michaelis, Nico Piatkowski, Marco Stolpe
2016 A* conf
Stochastic Discrete Clenshaw-Curtis Quadrature.
ICML
Nico Piatkowski, Katharina Morik
2014 — conf
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights.
ECML/PKDD (3)
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
2014 B conf
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.
EDBT
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
2014 — conf
Predictive Trip Planning - Smart Routing in Smart Cities.
EDBT/ICDT Workshops
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
2014 — conf
Route Planning with Real-Time Traffic Predictions.
LWA
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
2014 — conf
SHrimp: Descriptive Patterns in a Tree.
LWA
Sibylle Hess, Nico Piatkowski, Katharina Morik
2014 C conf
The Integer Approximation of Undirected Graphical Models.
ICPRAM
Nico Piatkowski, Sangkyun Lee, Katharina Morik
2014 — conf
Towards an Integer Approximation of Undirected Graphical Models.
LWA
Nico Piatkowski, Katharina Morik
2013 — conf
Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems.
MSM/MUSE
Nico Piatkowski, Jochen Streicher, Olaf Spinczyk, Katharina Morik
2013 J jnl
Spatio-temporal random fields: compressible representation and distributed estimation.
Mach. Learn.
Nico Piatkowski, Sangkyun Lee, Katharina Morik
2011 — conf
Parallel Loopy Belief Propagation in Conditional Random Fields.
LWA
Nico Piatkowski, Katharina Morik
2010 — conf
Enhancing Ubiquitous Systems through System Call Mining.
ICDM Workshops
Katharina Morik, Felix Jungermann, Nico Piatkowski, Michael Engel
2010 — conf
Towards Adjusting Mobile Devices to User's Behaviour.
MSM/MUSE
Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe, Jochen Streicher
2010 — conf
Towards Adjusting Mobile Devices to User's Behaviour.
LWA
Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe
2010 J jnl
Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games.
IEEE Trans. Comput. Intell. AI Games
Mike Preuss, Nicola Beume, Holger Danielsiek, Tobias Hein, Boris Naujoks, Nico Piatkowski, Raphael Stür, Andreas Thom, Simon Wessing
2008 — conf
Intelligent anti-grouping in real-time strategy games.
CIG
Nicola Beume, Tobias Hein, Boris Naujoks, Nico Piatkowski, Mike Preuss, Simon Wessing
2008 B conf
To model or not to model: Controlling Pac-Man ghosts without incorporating global knowledge.
IEEE Congress on Evolutionary Computation
Nicola Beume, Tobias Hein, Boris Naujoks, Georg Neugebauer, Nico Piatkowski, Mike Preuss, Raphael Stür, Andreas Thom