Nico Piatkowski

Christa Zoufal

Quantum Mach. Intell., December, 2024

Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., December, 2024

On the effects of biased quantum random numbers on the initialization of artificial neural networks.

[BibT_eX]

[DOI]

Mach. Learn., 2024

Dynamic Range Reduction via Branch-and-Bound.

[BibT_eX]

[DOI]

Thore Gerlach

CoRR, 2024

Real-Part Quantum Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

FPGA-Placement via Quantum Annealing.

[BibT_eX]

[DOI]

Thore Gerlach

Stefan Knipp

David Biesner

Stelios Emmanouilidis

Klaus Hauber

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

2023

Feature selection on quantum computers.

[BibT_eX]

[DOI]

Quantum Mach. Intell., June, 2023

Explainable Quantum Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Shapley Values with Uncertain Value Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Computing Marginal and Conditional Divergences between Decomposable Models with Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Computing Divergences between Discrete Decomposable Models.

[BibT_eX]

[DOI]

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

2022

Sicherheit von Quantum Machine Learning.

[BibT_eX]

[DOI]

Wirtschaftsinformatik Manag., 2022

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

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

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

[BibT_eX]

[DOI]

Maurice Günder

Christian Bauckhage

CoRR, 2022

Informed Pre-Training on Prior Knowledge.

[BibT_eX]

[DOI]

CoRR, 2022

Quantum Feature Selection.

[BibT_eX]

[DOI]

CoRR, 2022

QUBOs for Sorting Lists and Building Trees.

[BibT_eX]

[DOI]

Christian Bauckhage

Thore Gerlach

CoRR, 2022

What can we expect from Quantum (Digital) Twins?

[BibT_eX]

[DOI]

Proceedings of the WI for Grand Challenges, 2022

Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning.

[BibT_eX]

[DOI]

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

Quantum- Inspired Structure- Preserving Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Quantum Circuit Evolution on NISQ Devices.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Spatio-Temporal Random Fields.

[BibT_eX]

[DOI]

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

Integer Exponential Families.

[BibT_eX]

[DOI]

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

2021

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention.

[BibT_eX]

[DOI]

CoRR, 2021

Estimating Divergences in High Dimensions.

[BibT_eX]

[DOI]

CoRR, 2021

The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms.

[BibT_eX]

[DOI]

IEEE Access, 2021

Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF.

[BibT_eX]

[DOI]

Georg von der Brüggen

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Johannes Sebastian Mueller-Roemer

Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020

Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

The Channel as a Traffic Sensor: Vehicle Detection and Classification Based on Radio Fingerprinting.

[BibT_eX]

[DOI]

Benjamin Sliwa

Christian Wietfeld

IEEE Internet Things J., 2020

Gradient-free quantum optimization on NISQ devices.

[BibT_eX]

[DOI]

CoRR, 2020

Resource-Constrained On-Device Learning by Dynamic Averaging.

[BibT_eX]

[DOI]

Proceedings of the ECML PKDD 2020 Workshops, 2020

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Benjamin Sliwa

Christian Wietfeld

Proceedings of the 2020 IEEE International Conference on Communications, 2020

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

[BibT_eX]

[DOI]

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

2019

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

[BibT_eX]

[DOI]

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

Distributed Generative Modelling with Sub-linear Communication Overhead.

[BibT_eX]

[DOI]

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

Hardware Acceleration of Machine Learning Beyond Linear Algebra.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Another View on Optimization as Probabilistic Inference.

[BibT_eX]

[DOI]

Felix Gonsior

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

Parameter Sharing for Spatio-Temporal Process Models.

[BibT_eX]

[DOI]

Raphael Fischer

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

A QUBO Formulation of the k-Medoids Problem.

[BibT_eX]

[DOI]

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

Learning Ensembles in the Presence of Imbalanced Classes.

[BibT_eX]

[DOI]

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

A Data Science Perspective on Deconvolution.

[BibT_eX]

[DOI]

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

2018

Exponential families on resource-constrained systems.

[BibT_eX]

[DOI]

Nico Philipp Piatkowski

Proceedings of the Ausgezeichnete Informatikdissertationen 2018., 2018

Exponential families on resource-constrained systems.

[BibT_eX]

[DOI]

PhD thesis, 2018

Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators.

[BibT_eX]

[DOI]

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Sibylle Hess

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

Towards a Unifying View on Deconvolution in Cherenkov Astronomy.

[BibT_eX]

[DOI]

Mirko Bunse

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems.

[BibT_eX]

[DOI]

Georg von der Brüggen

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

Unification of Deconvolution Algorithms for Cherenkov Astronomy.

[BibT_eX]

[DOI]

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

2017

Dynamic route planning with real-time traffic predictions.

[BibT_eX]

[DOI]

Inf. Syst., 2017

The PRIMPING routine - Tiling through proximal alternating linearized minimization.

[BibT_eX]

[DOI]

Sibylle Hess

Data Min. Knowl. Discov., 2017

2016

Integer undirected graphical models for resource-constrained systems.

[BibT_eX]

[DOI]

Sangkyun Lee

Neurocomputing, 2016

INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data.

[BibT_eX]

[DOI]

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

Stochastic Discrete Clenshaw-Curtis Quadrature.

[BibT_eX]

[DOI]

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

Compressible Reparametrization of Time-Variant Linear Dynamical Systems.

[BibT_eX]

[DOI]

François Schnitzler

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

2014

Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights.

[BibT_eX]

[DOI]

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

Towards an Integer Approximation of Undirected Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the 16th LWA Workshops: KDML, 2014

Route Planning with Real-Time Traffic Predictions.

[BibT_eX]

[DOI]

Proceedings of the 16th LWA Workshops: KDML, 2014

SHrimp: Descriptive Patterns in a Tree.

[BibT_eX]

[DOI]

Sibylle Hess

Proceedings of the 16th LWA Workshops: KDML, 2014

The Integer Approximation of Undirected Graphical Models.

[BibT_eX]

[DOI]

Sangkyun Lee

Proceedings of the ICPRAM 2014, 2014

Predictive Trip Planning - Smart Routing in Smart Cities.

[BibT_eX]

[DOI]

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

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.

[BibT_eX]

[DOI]

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

2013

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

[BibT_eX]

[DOI]

Sangkyun Lee

Mach. Learn., 2013

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

[BibT_eX]

[DOI]

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

2011

Parallel Loopy Belief Propagation in Conditional Random Fields.

[BibT_eX]