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Nico Piatkowski
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- affiliation: Technical University of Dortmund, Germany
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2020 – today
- 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) - [c48]Thore Gerlach
, Stefan Knipp
, David Biesner
, Stelios Emmanouilidis
, Klaus Hauber
, Nico Piatkowski
:
FPGA-Placement via Quantum Annealing. FPGA 2024: 43 - [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] - 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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