Navigation of Walking Robots: Path Planning. - Bernd Gaßmann; Marco F. Huber; Johann Marius Zöllner; Rüdiger Dillmann (CLAWAR, 2005)

Closed-Form Prediction of Nonlinear Dynamic Systems by Means of Gaussian Mixture Approximation of the Transition Density. - Marco F. Huber; Dietrich Brunn; Uwe D. Hanebeck (MFI, 2006)

Efficient Nonlinear Measurement Updating based on Gaussian Mixture Approximation of Conditional Densities. - Marco F. Huber; Dietrich Brunn; Uwe D. Hanebeck (ACC, 2007)

Efficient Control of Nonlinear Noise-Corrupted Systems Using a Novel Model Predictive Control Framework. - Florian Weissel; Marco F. Huber; Uwe D. Hanebeck (ACC, 2007)

A nonlinear model predictive control framework approximating noise corrupted systems with hybrid transition densities. - Florian Weissel; Marco F. Huber; Uwe D. Hanebeck (CDC, 2007)

The hybrid density filter for nonlinear estimation based on hybrid conditional density approximation. - Marco F. Huber; Uwe D. Hanebeck (FUSION, 2007)

Parameter identification and reconstruction for distributed phenomena based on hybrid density filter. - Felix Sawo; Marco F. Huber; Uwe D. Hanebeck (FUSION, 2007)

On Sensor Scheduling in Case of Unreliable Communication. - Marco F. Huber; Eric Stiegeler; Uwe D. Hanebeck (GI Jahrestagung (2), 2007)

A closed-form model predictive control framework for nonlinear noise-corrupted systems. - Florian Weissel; Marco F. Huber; Uwe D. Hanebeck (ICINCO-SPSMC, 2007)

Hybrid transition density approximation for efficient recursive prediction of nonlinear dynamic systems. - Marco F. Huber; Uwe D. Hanebeck (IPSN, 2007)

Test-environment based on a team of miniature walking robots for evaluation of collaborative control methods. - Florian Weissel; Marco F. Huber; Uwe D. Hanebeck (IROS, 2007)

Progressive Gaussian mixture reduction. - Marco F. Huber; Uwe D. Hanebeck (FUSION, 2008)

Priority list sensor scheduling using optimal pruning. - Marco F. Huber; Uwe D. Hanebeck (FUSION, 2008)

On entropy approximation for Gaussian mixture random vectors. - Marco F. Huber; Tim Bailey; Hugh F. Durrant-Whyte; Uwe D. Hanebeck (MFI, 2008)

Stochastic model predictive control of time-variant nonlinear systems with imperfect state information. - Florian Weissel; Thomas Schreiter; Marco F. Huber; Uwe D. Hanebeck (MFI, 2008)

Dirac mixture approximation of multivariate Gaussian densities. - Uwe D. Hanebeck; Marco F. Huber; Vesa Klumpp (CDC, 2009)

Gaussian Filtering using state decomposition methods. - Frederik Beutler; Marco F. Huber; Uwe D. Hanebeck (FUSION, 2009)

Distributed greedy sensor scheduling for model-based reconstruction of space-time continuous physical phenomena. - Marco F. Huber; Achim Kuwertz; Felix Sawo; Uwe D. Hanebeck (FUSION, 2009)

Gaussian mixture reduction via clustering. - Dennis Schieferdecker; Marco F. Huber (FUSION, 2009)

Instantaneous pose estimation using rotation vectors. - Frederik Beutler; Marco F. Huber; Uwe D. Hanebeck (ICASSP, 2009)

Analytic moment-based Gaussian process filtering. - Marc Peter Deisenroth; Marco F. Huber; Uwe D. Hanebeck (ICML, 2009)

Probabilistic instantaneous model-based signal processing applied to localization and tracking. - Frederik Beutler; Marco F. Huber; Uwe D. Hanebeck (Robotics Auton. Syst., 2009)

Probabilistic Framework for Sensor Management - Marco F. Huber (2009)

On multi-step sensor scheduling via convex optimization. - Marco F. Huber (CIP, 2010)

Support-vector conditional density estimation for nonlinear filtering. - Peter Krauthausen; Marco F. Huber; Uwe D. Hanebeck (FUSION, 2010)

Multi-step sensor management for localizing movable sources of spatially distributed phenomena. - Achim Kuwertz; Marco F. Huber; Felix Sawo (FUSION, 2010)

Optimal stochastic linearization for range-based localization. - Frederik Beutler; Marco F. Huber; Uwe D. Hanebeck (IROS, 2010)

Semi-analytic stochastic linearization for range-based pose tracking. - Frederik Beutler; Marco F. Huber; Uwe D. Hanebeck (MFI, 2010)

Semi-analytic Gaussian Assumed Density Filter. - Marco F. Huber; Frederik Beutler; Uwe D. Hanebeck (ACC, 2011)

Adaptive Gaussian mixture filter based on statistical linearization. - Marco F. Huber (FUSION, 2011)

Superficial Gaussian Mixture Reduction. - Marco F. Huber; Peter Krauthausen; Uwe D. Hanebeck (GI-Jahrestagung, 2011)

Bayesian active object recognition via Gaussian process regression. - Marco F. Huber; Tobias Dencker; Masoud Roschani; Jürgen Beyerer (FUSION, 2012)

Robust Filtering and Smoothing with Gaussian Processes. - Marc Peter Deisenroth; Ryan D. Turner; Marco F. Huber; Uwe D. Hanebeck; Carl Edward Rasmussen (IEEE Trans. Autom. Control., 2012)

Optimal Pruning for Multi-Step Sensor Scheduling. - Marco F. Huber (IEEE Trans. Autom. Control., 2012)

Gaussian filtering for polynomial systems based on moment homotopy. - Marco F. Huber; Uwe D. Hanebeck (FUSION, 2013)

Recursive Gaussian process regression. - Marco F. Huber (ICASSP, 2013)

On weak distance between distributions in application to tracking. - Alexey Pak; Marco F. Huber; Andrey Belkin (SDF, 2013)

Chebyshev polynomial Kalman filter. - Marco F. Huber (Digit. Signal Process., 2013)

Low Resolution Person Detection with a Moving Thermal Infrared Camera by Hot Spot Classification. - Michael Teutsch; Thomas Mueller; Marco F. Huber; Jürgen Beyerer (CVPR Workshops, 2014)

Demonstration abstract: participatory sensing enabled environmental monitoring in smart cities. - Florian Zeiger; Marco F. Huber (IPSN, 2014)

Recursive Gaussian process: On-line regression and learning. - Marco F. Huber (Pattern Recognit. Lett., 2014)

Collaborative multi-camera face recognition and tracking. - Jason R. Rambach; Marco F. Huber; Mark Ryan Balthasar; Abdelhak M. Zoubir (AVSS, 2015)

Short Paper: IoT: Challenges, projects, architectures. - Vangelis Gazis; Manuel Görtz; Marco F. Huber; Alessandro Leonardi; Kostas Mathioudakis; Alexander Wiesmaier; Florian Zeiger (ICIN, 2015)

A survey of technologies for the internet of things. - Vangelis Gazis; Manuel Görtz; Marco F. Huber; Alessandro Leonardi; Kostas Mathioudakis; Alexander Wiesmaier; Florian Zeiger; Emmanouil Vasilomanolakis (IWCMC, 2015)

Big data architecture for the semantic analysis of complex events in manufacturing. - Marco F. Huber; Martin Voigt; Axel-Cyrille Ngonga Ngomo (GI-Jahrestagung, 2016)

Bayesian score level fusion for facial recognition. - Marco F. Huber; Andreas Merentitis; Roel Heremans; Maria E. Niessen; Christian Debes; Nikolaos Frangiadakis (MFI, 2016)

Framework for mining event correlations and time lags in large event sequences. - Marc-Andre Zoller; Marcus Baum; Marco F. Huber (INDIN, 2017)

Conditional anomaly detection in event streams. - Marco F. Huber (Autom., 2017)

Comparison of Angle and Size Features with Deep Learning for Emotion Recognition. - Patrick Dunau; Marco F. Huber; Jürgen Beyerer (CIARP, 2018)

Retrodiction of Data Association Probabilities via Convex Optimization. - Selim Ozgen; Florian Rosenthal; Jana Mayer; Benjamin Noack; Uwe D. Hanebeck; Marco F. Huber (FUSION, 2018)

Reduced Feature Set for Emotion Recognition Based on Angle and Size Information. - Patrick Dunau; Mike Bonny; Marco F. Huber; Jürgen Beyerer (IAS, 2018)

Linear programming based time lag identification in event sequences. - Marco F. Huber; Marc-Andre Zoller; Marcus Baum (Autom., 2018)

Guest Editorial Special Section on Multisensor Fusion and Integration for Intelligent Systems. - Uwe D. Hanebeck; Marcus Baum; Marco F. Huber (IEEE Trans. Ind. Informatics, 2018)

Deep Workpiece Region Segmentation for Bin Picking. - Muhammad Usman Khalid; Janik M. Hager; Werner Kraus; Marco F. Huber; Marc Toussaint (CASE, 2019)

Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization. - Nadia Burkart; Marco F. Huber; Phillip Faller (ICMLA, 2019)

Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. - Nina Schaaf; Marco F. Huber; Johannes Maucher (ICMLA, 2019)

Gaussian Process based Dynamic Facial Emotion Tracking. - Patrick Dunau; Marco F. Huber; Jürgen Beyerer (ICPS, 2019)

Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking. - Kilian Kleeberger; Christian Landgraf; Marco F. Huber (IROS, 2019)

A Study on Trust in Black Box Models and Post-hoc Explanations. - Nadia El Bekri; Jasmin Kling; Marco F. Huber (SOCO, 2019)

Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. - Nina Schaaf; Marco F. Huber (CoRR, 2019)

Survey on Automated Machine Learning. - Marc-André Zöller; Marco F. Huber (CoRR, 2019)

Bayesian Perceptron: Towards fully Bayesian Neural Networks. - Marco F. Huber (CDC, 2020)

Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning. - Mohamed El-Shamouty; Xinyang Wu 002; Shanqi Yang; Marcel Albus; Marco F. Huber (ICRA, 2020)

Single Shot 6D Object Pose Estimation. - Kilian Kleeberger; Marco F. Huber (ICRA, 2020)

Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes. - Kilian Kleeberger; Markus Völk; Marius Moosmann; Erik Thiessenhusen; Florian Roth; Richard Bormann; Marco F. Huber (IROS, 2020)

Batch-wise Regularization of Deep Neural Networks for Interpretability. - Nadia Burkart; Philipp Michael Faller; Elisabeth Peinsipp; Marco F. Huber (MFI, 2020)

Supported Decision-Making by Explainable Predictions of Ship Trajectories. - Nadia Burkart; Marco F. Huber; Mathias Anneken (SOCO, 2020)

Generating a Hand Pose Data Set for Vision Based Manual Assembly Assistance Systems. - Christian Jauch; Julia Denecke; Marco F. Huber (3D Imaging and Applications, 2021)

Reinforcement Learning based Optimization of Bayesian Networks for Generating Feasible Vehicle Configuration Suggestions. - Simon Dürr; Raphael Lamprecht; Matthias Kauffmann; Marco F. Huber (CASE, 2021)

A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots. - Christian Landgraf; Kilian Ernst; Gesine Schleth; Marc Fabritius; Marco F. Huber (CASE, 2021)

Autoencoder-Inspired Identification of LTI Systems. - Tobias Nagel; Marco F. Huber (ECC, 2021)

DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing. - Fady Aziz; Bassam Elmakhzangy; Christophe Maufroy; Urs Schneider; Marco F. Huber (EUSIPCO, 2021)

Automatic Grasp Pose Generation for Parallel Jaw Grippers. - Kilian Kleeberger; Florian Roth; Richard Bormann; Marco F. Huber (IAS, 2021)

Towards Measuring Bias in Image Classification. - Nina Schaaf; Omar de Mitri; Hang Beom Kim; Alexander Windberger; Marco F. Huber (ICANN (3), 2021)

Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation. - Kilian Kleeberger; Markus Völk; Richard Bormann; Marco F. Huber (ICRA, 2021)

Incremental Search Space Construction for Machine Learning Pipeline Synthesis. - Marc-André Zöller; Tien-Dung Nguyen 002; Marco F. Huber (IDA, 2021)

Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems. - Raphael Lamprecht; Ferdinand Wurst; Marco F. Huber (INDIN, 2021)

Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers. - Kilian Kleeberger; Jonathan Schnitzler; Muhammad Usman Khalid; Richard Bormann; Werner Kraus; Marco F. Huber (IROS, 2021)

Unobstructed Programming-by-Demonstration for Force-Based Assembly Utilizing External Force-Torque Sensors. - Daniel Bargmann; Philipp Tenbrock; Lorenz Halt; Frank Nägele; Werner Kraus; Marco F. Huber (SMC, 2021)

A MIMO Radar-Based Metric Learning Approach for Activity Recognition. - Fady Aziz; Omar Metwally; Pascal Weller; Urs Schneider; Marco F. Huber (CoRR, 2021)

Are you sure? Prediction revision in automated decision-making. - Nadia Burkart; Sebastian Robert; Marco F. Huber (Expert Syst. J. Knowl. Eng., 2021)

A Survey on the Explainability of Supervised Machine Learning. - Nadia Burkart; Marco F. Huber (J. Artif. Intell. Res., 2021)

Benchmark and Survey of Automated Machine Learning Frameworks. - Marc-André Zöller; Marco F. Huber (J. Artif. Intell. Res., 2021)

A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks. - Christian Landgraf; Bernd Meese; Michael Pabst; Georg Martius; Marco F. Huber (Sensors, 2021)

Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation. - Ruyu Wang; Sabrina Hoppe; Eduardo Monari; Marco F. Huber (BMVC, 2022)

Kalman-Bucy-Informed Neural Network for System Identification. - Tobias Nagel; Marco F. Huber (CDC, 2022)

GLIR: A Practical Global-local Integrated Reactive Planner towards Safe Human-Robot Collaboration. - Mohamed El-Shamouty; Julian Titze; Sitar Kortik; Werner Kraus; Marco F. Huber (ETFA, 2022)

A MIMO Radar-based Few-Shot Learning Approach for Human-ID. - Pascal Weller; Fady Aziz; Sherif Abdulatif; Urs Schneider; Marco F. Huber (EUSIPCO, 2022)

Mixture of Decision Trees for Interpretable Machine Learning. - Simeon Brüggenjürgen; Nina Schaaf; Pascal Kerschke; Marco F. Huber (ICMLA, 2022)

Simulation-based Learning of the Peg-in-Hole Process Using Robot-Skills. - Arik Lämmle; Philipp Tenbrock; Balázs András Bálint; Frank Nägele; Werner Kraus; József Váncza; Marco F. Huber (IROS, 2022)

Transfer Learning for Machine Learning-based Detection and Separation of Entanglements in Bin-Picking Applications. - Marius Moosmann; Felix Spenrath; Johannes Rosport; Philipp Melzer; Werner Kraus; Richard Bormann; Marco F. Huber (IROS, 2022)

Cooperation of Human and Active Learning based AI for Fast and Precise Complaint Management. - Christoph Hennebold; Xiaodong Mei 004; Ortwin Mailahn; Marco F. Huber; Oliver Mannuß (SMC, 2022)

Explainable AI: introducing trust and comprehensibility to AI engineering. - Nadia Burkart; Danilo Brajovic; Marco F. Huber (Autom., 2022)

Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods. - Raoul Schönhof; Artem Werner; Jannes Elstner; Boldizsar Zopcsak; Ramez Awad; Marco F. Huber (CoRR, 2022)

Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder. - Raoul Schönhof; Jannes Elstner; Radu Manea; Steffen Tauber; Ramez Awad; Marco F. Huber (CoRR, 2022)

XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning. - Marc-André Zöller; Waldemar Titov; Thomas Schlegel; Marco F. Huber (CoRR, 2022)

A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules. - Paul-Amaury Matt; Rosina Ziegler; Danilo Brajovic; Marco Roth; Marco F. Huber (CoRR, 2022)

Validation of XAI explanations for multivariate time series classification in the maritime domain. - Manjunatha Veerappa; Mathias Anneken; Nadia Burkart; Marco F. Huber (J. Comput. Sci., 2022)

Toward Holistic Scene Understanding: A Transfer of Human Scene Perception to Mobile Robots. - Florenz Graf; Jochen Lindermayr; Çagatay Odabasi; Marco F. Huber (IEEE Robotics Autom. Mag., 2022)

Kalman Bayesian Neural Networks for Closed-Form Online Learning. - Philipp Wagner 005; Xinyang Wu 002; Marco F. Huber (AAAI, 2023)

Artificial Neural Network Guided Compensation of Nonlinear Payload and Wear Effects for Industrial Robots. - Julian Raible; Oliver Rettig; Benjamin Alt; Alper Yaman; Isabelle Gauger; Lorenzo Biasi; Silvan Müller; Darko Katic; Marcus Strand; Marco F. Huber (CASE, 2023)

Guiding Video Prediction with Explicit Procedural Knowledge. - Patrick Takenaka; Johannes Maucher; Marco F. Huber (ICCV (Workshops), 2023)

Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks. - Xinyang Wu 002; Mohamed El-Shamouty; Christof Nitsche; Marco F. Huber (ICRA, 2023)

SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details Based on Package Class Templates. - Jochen Lindermayr; Çagatay Odabasi; Markus Völk; Yitian Chen; Richard Bormann; Marco F. Huber (ICVS, 2023)

Cut Interruption Detection in the Laser Cutting Process Using ROCKET on Audio Signals. - Kathrin Leiner; Frederic P. Dollmann; Marco F. Huber; Manuel Geiger; Stefan Leinberger (INDIN, 2023)

IPA-3D1K: A Large Retail 3D Model Dataset for Robot Picking. - Jochen Lindermayr; Çagatay Odabasi; Florian Jordan; Florenz Graf; Lukas Knak; Werner Kraus; Richard Bormann; Marco F. Huber (IROS, 2023)

Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning. - Xinyang Wu 002; Elisabeth Wedernikow; Christof Nitsche; Marco F. Huber (IV, 2023)

Self-Supervised Optimization of Hand Pose Estimation Using Anatomical Features and Iterative Learning. - Christian Jauch; Timo Leitritz; Marco F. Huber (SMC, 2023)

Automated Machine Learning for Remaining Useful Life Predictions. - Marc-André Zöller; Fabian Mauthe; Peter Zeiler; Marius Lindauer; Marco F. Huber (SMC, 2023)

Optimizing CAD Models with Latent Space Manipulation. - Jannes Elstner; Raoul G. C. Schönhof; Steffen Tauber; Marco F. Huber (CoRR, 2023)

Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development. - Danilo Brajovic; Niclas Renner; Vincent Philipp Goebels; Philipp Wagner 005; Benjamin Frész; Martin Biller; Mara Klaeb; Janika Kutz; Jens Neuhüttler; Marco F. Huber (CoRR, 2023)

Merging Explainable AI into Automotive Software Development. - Danilo Brajovic; Marco F. Huber (ERCIM News, 2023)

XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning. - Marc-André Zöller; Waldemar Titov; Thomas Schlegel; Marco F. Huber (ACM Trans. Interact. Intell. Syst., 2023)

How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European Law. - Benjamin Frész; Elena Dubovitskaya; Danilo Brajovic; Marco F. Huber; Christian Horz (AIES (1), 2024)

Data-Efficient Uncertainty-Guided Model-Based Reinforcement Learning with Unscented Kalman Bayesian Neural Networks. - Xinyang Wu 002; Elisabeth Wedernikow; Marco F. Huber (ACC, 2024)

Encoding Machine Phase Information into Heterogeneous Graphs for Adaptive Fault Diagnosis. - Maximilian-Peter Radtke; Marco F. Huber; Jürgen Bock (ETFA, 2024)

Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations. - Benjamin Frész; Lena Lörcher; Marco F. Huber (FAccT, 2024)

Probabilistic Global Robustness Verification of Arbitrary Supervised Machine Learning Models. - Max-Lion Schumacher; Marco F. Huber (FUSION, 2024)

Trustworthy Bayesian Perceptrons. - Markus Walker; Hayk Amirkhanian; Marco F. Huber; Uwe D. Hanebeck (FUSION, 2024)

Causal Knowledge in Data Fusion: Systematic Evaluation on Quality Prediction and Root Cause Analysis. - Jingyi Yu; Tim Pychynski; Karim Said Barsim; Marco F. Huber (FUSION, 2024)

RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots. - Benjamin Alt; Florian Stöckl; Silvan Müller; Christopher Braun; Julian Raible; Saad Alhasan; Oliver Rettig; Lukas Ringle; Darko Katic; Rainer Jäkel; Michael Beetz; Marcus Strand; et al. (ICRA, 2024)

Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning. - Tobias Nagel; Marco F. Huber (IJCNN, 2024)

Enabling Maintainablity of Robot Programs in Assembly by Extracting Compositions of Force- and Position-Based Robot Skills from Learning-from-Demonstration Models. - Daniel Bargmann; Werner Kraus; Marco F. Huber (IROS, 2024)

Auto-sktime: Automated Time Series Forecasting. - Marc-André Zöller; Marius Lindauer; Marco F. Huber (LION, 2024)

Causal Knowledge in Data Fusion Subject to Latent Confounding and Measurement Error. - Jingyi Yu; Tim Pychynski; Marco F. Huber (MFI, 2024)

ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios Using Procedural Knowledge. - Patrick Takenaka; Johannes Maucher; Marco F. Huber (NeSy (1), 2024)

AI Certification: Empirical Investigations into Possible Cul-De-Sacs and Ways Forward (Practitioner Track). - Benjamin Frész; Danilo Brajovic; Marco F. Huber (SAIA, 2024)

Improving the Effectiveness of Deep Generative Data. - Ruyu Wang; Sabrina Schmedding; Marco F. Huber (WACV, 2024)

Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management. - Fabian Mauthe; Christopher Braun; Julian Raible; Peter Zeiler; Marco F. Huber (CoRR, 2024)

The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis. - Benjamin Frész; Vincent Philipp Goebels; Safa Omri; Danilo Brajovic; Andreas Aichele; Janika Kutz; Jens Neuhüttler; Marco F. Huber (CoRR, 2024)

Data Efficient Prediction of excited-state properties using Quantum Neural Networks. - Manuel Hagelüken; Marco F. Huber; Marco Roth (CoRR, 2024)

HIPer: A Human-Inspired Scene Perception Model for Multifunctional Mobile Robots. - Florenz Graf; Jochen Lindermayr; Birgit Graf; Werner Kraus; Marco F. Huber (IEEE Trans. Robotics, 2024)

Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks. - Kirolos Abdou; Osama Mohammed; George Eskandar; Amgad Ibrahim; Paul-Amaury Matt; Marco F. Huber (J. Intell. Manuf., 2024)

From Confusion to Clarity: ProtoScore - A Framework for Evaluating Prototype-Based XAI. - Helena Monke; Benjamin Sae-Chew; Benjamin Frész; Marco F. Huber (FAccT, 2025)

STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation. - Ruyu Wang; Xuefeng Hou; Sabrina Schmedding; Marco F. Huber (WACV, 2025)

Reinforcement learning-based architecture search for quantum machine learning. - Frederic Rapp; David A. Kreplin; Marco F. Huber; Marco Roth (Mach. Learn. Sci. Technol., 2025)

Advancing data-driven process modeling in metal forming. - Mathias Liewald; Birgit Vogel-Heuser; Thomas Bergs; Marco F. Huber; Peer Kröger (Autom., 2025)

Towards scalability for resource reconfiguration in robotic assembly line balancing problems using a modified genetic algorithm. - Marcel Albus; Timothée Hornek; Werner Kraus; Marco F. Huber (J. Intell. Manuf., 2025)

Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization. - Philipp Wagner 005; Tobias Nagel; Philipp Leube; Marco F. Huber (CoRR, 2025)

Generative Adversarial Networks with Limited Data: A Survey and Benchmarking. - Omar de Mitri; Ruyu Wang; Marco F. Huber (CoRR, 2025)

Causal Mechanism Estimation in Multi-Sensor Systems Across Multiple Domains. - Jingyi Yu; Tim Pychynski; Marco F. Huber (CoRR, 2025)

Comparison of Large Language Models for Deployment Requirements. - Alper Yaman; Jannik Schwab; Christof Nitsche; Abhirup Sinha; Marco F. Huber (CoRR, 2025)

ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction. - Patrick Takenaka; Johannes Maucher; Marco F. Huber (CoRR, 2025)