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ORCIDNico Piatkowski
Nico Philipp Piatkowski
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- affiliation: Technical University of Dortmund, Germany
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2020 – today
- 2024
[j14]Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski:
Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation. Knowl. Inf. Syst. 66(12): 7527-7556 (2024)- [j13]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): 1189-1217 (2024) - [j12]Nico Piatkowski, Christa Zoufal:
Quantum circuits for discrete graphical models. Quantum Mach. Intell. 6(2): 37 (2024) - [c49]Thore Gerlach, Stefan Knipp, David Biesner, Stelios Emmanouilidis, Klaus Hauber, Nico Piatkowski:
FPGA-Placement via Quantum Annealing. FPGA 2024: 43 - [c48]Nico Piatkowski, Sascha Mücke:
Real-Part Quantum Support Vector Machines. ECML/PKDD (8) 2024: 144-160 - [e4]Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou:
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14641, Springer 2024, ISBN 978-3-031-58546-3 [contents] - [e3]Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou:
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14642, Springer 2024, ISBN 978-3-031-58555-5 [contents] - [i23]Thore Gerlach, Nico Piatkowski:
Dynamic Range Reduction via Branch-and-Bound. CoRR abs/2409.10863 (2024) - 2023
- [j11]Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski:
Feature selection on quantum computers. Quantum Mach. Intell. 5(1): 1-16 (2023) - [c47]Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb:
Computing Divergences between Discrete Decomposable Models. AAAI 2023: 12243-12251 - [c46]Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski:
Computing Marginal and Conditional Divergences between Decomposable Models with Applications. ICDM 2023: 239-248 - [c45]Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski:
Shapley Values with Uncertain Value Functions. IDA 2023: 156-168 - [i22]Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski:
Shapley Values with Uncertain Value Functions. CoRR abs/2301.08086 (2023) - [i21]Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski:
Explainable Quantum Machine Learning. CoRR abs/2301.09138 (2023) - [i20]Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski:
Computing Marginal and Conditional Divergences between Decomposable Models with Applications. CoRR abs/2310.09129 (2023) - 2022
- [j10]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) - [j9]Eldar Sultanow, Christian Bauckhage, Christian Knopf, Nico Piatkowski:
Sicherheit von Quantum Machine Learning. Wirtschaftsinformatik Manag. 14(2): 144-152 (2022) - [c44]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski:
Quantum Circuit Evolution on NISQ Devices. CEC 2022: 1-8 - [c43]Sascha Mücke, Nico Piatkowski:
Quantum- Inspired Structure- Preserving Probabilistic Inference. CEC 2022: 1-9 - [c42]Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco:
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. FUSION 2022: 1-8 - [c41]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 - [p3]Nico Piatkowski, Katharina Morik:
Spatio-Temporal Random Fields. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 100-115 - [p2]Nico Piatkowski:
Integer Exponential Families. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 406-422 - [i19]Christian Bauckhage, Thore Gerlach, Nico Piatkowski:
QUBOs for Sorting Lists and Building Trees. CoRR abs/2203.08815 (2022) - [i18]Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski:
Quantum Feature Selection. CoRR abs/2203.13261 (2022) - [i17]Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco:
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. CoRR abs/2204.11133 (2022) - [i16]Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski:
Informed Pre-Training on Prior Knowledge. CoRR abs/2205.11433 (2022) - [i15]Maurice Günder, Nico Piatkowski, Christian Bauckhage:
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning. CoRR abs/2209.02055 (2022) - 2021
- [j8]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: 169044-169055 (2021) - [c40]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: 1-6 - [c39]Nico Piatkowski, Peter N. Posch, Miguel Krause:
How to Trust Generative Probabilistic Models for Time-Series Data? LION 2021: 283-298 - [c38]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: 214-226 - [i14]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 abs/2104.07538 (2021) - [i13]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 abs/2105.10197 (2021) - [i12]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 abs/2106.00512 (2021) - [i11]Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb:
Estimating Divergences in High Dimensions. CoRR abs/2112.04583 (2021) - [i10]Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage:
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. CoRR abs/2112.10712 (2021) - 2020
- [j7]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): 7392-7406 (2020) - [j6]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): 3497-3512 (2020) - [c37]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: 546-555 - [c36]Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations. ICC 2020: 1-7 - [c35]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: 10203-10210 - [c34]Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops 2020: 129-144 - [e2]Daniel Trabold, Pascal Welke, Nico Piatkowski:
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Online, September 9-11, 2020. CEUR Workshop Proceedings 2738, CEUR-WS.org 2020 [contents] - [i9]Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations. CoRR abs/2001.10189 (2020) - [i8]Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
The Channel as a Traffic Sensor: Vehicle Detection and Classification based on Radio Fingerprinting. CoRR abs/2003.09827 (2020) - [i7]Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
Resource-Constrained On-Device Learning by Dynamic Averaging. CoRR abs/2009.12098 (2020) - [i6]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage:
Gradient-free quantum optimization on NISQ devices. CoRR abs/2012.13453 (2020)
2010 – 2019
- 2019
- [c33]Mirko Bunse, Nico Piatkowski, Tim Ruhe, Katharina Morik, Wolfgang Rhode:
A Data Science Perspective on Deconvolution. GI-Jahrestagung 2019: 279-280 - [c32]Amal Saadallah, Nico Piatkowski, Felix Finkeldey, Petra Wiederkehr, Katharina Morik:
Learning Ensembles in the Presence of Imbalanced Classes. ICPRAM 2019: 866-873 - [c31]Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
A QUBO Formulation of the k-Medoids Problem. LWDA 2019: 54-63 - [c30]Raphael Fischer, Nico Piatkowski, Katharina Morik:
Parameter Sharing for Spatio-Temporal Process Models. LWDA 2019: 89-93 - [c29]Felix Gonsior, Nico Piatkowski, Katharina Morik:
Another View on Optimization as Probabilistic Inference. LWDA 2019: 106-110 - [c28]Sascha Mücke, Nico Piatkowski, Katharina Morik:
Learning Bit by Bit: Extracting the Essence of Machine Learning. LWDA 2019: 144-155 - [c27]Nico Piatkowski:
Distributed Generative Modelling with Sub-linear Communication Overhead. PKDD/ECML Workshops (1) 2019: 281-292 - [c26]Sascha Mücke, Nico Piatkowski, Katharina Morik:
Hardware Acceleration of Machine Learning Beyond Linear Algebra. PKDD/ECML Workshops (1) 2019: 342-347 - [c25]Nico Piatkowski:
Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees. ECML/PKDD (2) 2019: 415-431 - [i5]Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld:
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction. CoRR abs/1904.10186 (2019) - [i4]Sibylle Hess, Katharina Morik, Nico Piatkowski:
The PRIMPing Routine - Tiling through Proximal Alternating Linearized Minimization. CoRR abs/1906.09722 (2019) - [i3]Sibylle Hess, Nico Piatkowski, Katharina Morik:
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. CoRR abs/1907.00697 (2019) - 2018
- [b1]Nico Piatkowski:
Exponential families on resource-constrained systems. Technical University of Dortmund, Germany, 2018 - [c24]Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode:
Unification of Deconvolution Algorithms for Cherenkov Astronomy. DSAA 2018: 21-30 - [c23]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: 6:1-6:22 - [c22]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: 898-905 - [c21]Mirko Bunse, Nico Piatkowski, Katharina Morik:
Towards a Unifying View on Deconvolution in Cherenkov Astronomy. LWDA 2018: 73-77 - [c20]Sibylle Hess, Nico Piatkowski, Katharina Morik:
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. SDM 2018: 405-413 - [c19]Nico Piatkowski, Katharina Morik:
Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation. UAI 2018: 715-724 - [c18]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: 1-7 - [p1]Nico Philipp Piatkowski:
Exponential families on resource-constrained systems. Ausgezeichnete Informatikdissertationen 2018: 181-190 - [i2]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 abs/1806.06620 (2018) - [i1]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 abs/1807.00464 (2018) - 2017
- [j5]Sibylle Hess, Katharina Morik, Nico Piatkowski:
The PRIMPING routine - Tiling through proximal alternating linearized minimization. Data Min. Knowl. Discov. 31(4): 1090-1131 (2017) - [j4]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Dynamic route planning with real-time traffic predictions. Inf. Syst. 64: 258-265 (2017) - 2016
- [j3]Nico Piatkowski, Sangkyun Lee, Katharina Morik:
Integer undirected graphical models for resource-constrained systems. Neurocomputing 173: 9-23 (2016) - [c17]Nico Piatkowski, François Schnitzler:
Compressible Reparametrization of Time-Variant Linear Dynamical Systems. Solving Large Scale Learning Tasks 2016: 234-250 - [c16]Nico Piatkowski, Katharina Morik:
Stochastic Discrete Clenshaw-Curtis Quadrature. ICML 2016: 3000-3009 - [c15]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: 22-26 - [e1]Stefan Michaelis, Nico Piatkowski, Marco Stolpe:
Solving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday. Lecture Notes in Computer Science 9580, Springer 2016, ISBN 978-3-319-41705-9 [contents] - 2014
- [c14]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Predictive Trip Planning - Smart Routing in Smart Cities. EDBT/ICDT Workshops 2014: 331-338 - [c13]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: 712-723 - [c12]Nico Piatkowski, Sangkyun Lee, Katharina Morik:
The Integer Approximation of Undirected Graphical Models. ICPRAM 2014: 296-304 - [c11]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Route Planning with Real-Time Traffic Predictions. LWA 2014: 83-94 - [c10]Nico Piatkowski, Katharina Morik:
Towards an Integer Approximation of Undirected Graphical Models. LWA 2014: 123-124 - [c9]Sibylle Hess, Nico Piatkowski, Katharina Morik:
SHrimp: Descriptive Patterns in a Tree. LWA 2014: 181-192 - [c8]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: 520-523 - 2013
- [j2]Nico Piatkowski, Sangkyun Lee, Katharina Morik:
Spatio-temporal random fields: compressible representation and distributed estimation. Mach. Learn. 93(1): 115-139 (2013) - [c7]Nico Piatkowski, Jochen Streicher, Olaf Spinczyk, Katharina Morik:
Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems. MSM/MUSE 2013: 116-130 - 2011
- [c6]Nico Piatkowski, Katharina Morik:
Parallel Loopy Belief Propagation in Conditional Random Fields. LWA 2011: 122-128 - 2010
- [j1]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): 82-98 (2010) - [c5]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: 99-118 - [c4]Katharina Morik, Felix Jungermann, Nico Piatkowski, Michael Engel:
Enhancing Ubiquitous Systems through System Call Mining. ICDM Workshops 2010: 1338-1345 - [c3]Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe:
Towards Adjusting Mobile Devices to User's Behaviour. LWA 2010: 51-58
2000 – 2009
- 2008
- [c2]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: 3464-3471 - [c1]Nicola Beume, Tobias Hein, Boris Naujoks, Nico Piatkowski, Mike Preuss, Simon Wessing:
Intelligent anti-grouping in real-time strategy games. CIG 2008: 63-70
Coauthor Index
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