| 2026 | HCI | Integrating XAI into Safe AI Development and AI Certification Processes: An Expert-Based Analysis. | Benjamin Frsz, Vincent Philipp Goebels, Safa Omri, Danilo Brajovic, Andreas Aichele, Janika Kutz, Jens Neuhttler, Marco F. Huber |
| 2026 | ICPR | Probabilistic Ranking for Transfer Learning Bayesian Optimization. | Philipp Wagner, Hayk Amirkhanian, Marco Roth, Marco F. Huber |
| 2026 | SAFECOMP | Practical Challenges in AI Risk Classification and Assessment: Insights from an AI Sandbox Pilot. | Danilo Brajovic, Benjamin Frsz, Elena Dubovitskaya, Nadine Ferber, Theo Jacobs, Lena Lrcher, Marco F. Huber |
| 2025 | ETFA | LLMs as Data Preprocessors for Natural Language Processing in Manufacturing. | Tom Krner, Marvin Carl May, Marco F. Huber |
| 2025 | FUSION | Bridging Bayesian Inference and Neural Network Training: Equivalence of KBNN and Statistical Linearization. | Hayk Amirkhanian, Markus Walker, Uwe D. Hanebeck, Marco F. Huber |
| 2025 | FUSION | Causal Mechanism Estimation in Multi-Sensor Systems Across Multiple Domains. | Jingyi Yu, Tim Pychynski, Marco F. Huber |
| 2025 | IJCNN | ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction. | Patrick Takenaka, Johannes Maucher, Marco F. Huber |
| 2025 | INDIN | Conformity Assessment of Machine Learning-Based Quality Assurance: A Gap Analysis. | Felix Fuchs, Martin Biller, Marco F. Huber |
| 2025 | IROS | Low-effort Iterative Dataset Generation Pipeline for Unknown Object Instance Segmentation. | Florian Jordan, Jochen Lindermayr, Richard Bormann, Marco F. Huber |
| 2025 | WACV | STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation. | Ruyu Wang, Xuefeng Hou, Sabrina Schmedding, Marco F. Huber |
| 2024 | AIES | How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European Law. | Benjamin Frsz, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz |
| 2024 | ETFA | Encoding Machine Phase Information into Heterogeneous Graphs for Adaptive Fault Diagnosis. | Maximilian-Peter Radtke, Marco F. Huber, Jrgen Bock |
| 2024 | FUSION | Probabilistic Global Robustness Verification of Arbitrary Supervised Machine Learning Models. | Max-Lion Schumacher, Marco F. Huber |
| 2024 | FUSION | Trustworthy Bayesian Perceptrons. | Markus Walker, Hayk Amirkhanian, Marco F. Huber, Uwe D. Hanebeck |
| 2024 | FUSION | Causal Knowledge in Data Fusion: Systematic Evaluation on Quality Prediction and Root Cause Analysis. | Jingyi Yu, Tim Pychynski, Karim Said Barsim, Marco F. Huber |
| 2024 | ICRA | RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots. | Benjamin Alt, Florian Stckl, Silvan Mller, Christopher Braun, Julian Raible, Saad Alhasan, Oliver Rettig, Lukas Ringle, Darko Katic, Rainer Jkel, Michael Beetz, Marcus Strand, Marco F. Huber |
| 2024 | IJCNN | Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning. | Tobias Nagel, Marco F. Huber |
| 2024 | IROS | 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 |
| 2024 | NeSy | ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios Using Procedural Knowledge. | Patrick Takenaka, Johannes Maucher, Marco F. Huber |
| 2024 | WACV | Improving the Effectiveness of Deep Generative Data. | Ruyu Wang, Sabrina Schmedding, Marco F. Huber |
| 2023 | AAAI | Kalman Bayesian Neural Networks for Closed-Form Online Learning. | Philipp Wagner, Xinyang Wu, Marco F. Huber |
| 2023 | INDIN | 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 |
| 2023 | IROS | IPA-3D1K: A Large Retail 3D Model Dataset for Robot Picking. | Jochen Lindermayr, agatay Odabasi, Florian Jordan, Florenz Graf, Lukas Knak, Werner Kraus, Richard Bormann, Marco F. Huber |
| 2023 | ICRA | Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks. | Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber |
| 2023 | ICVS | SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details Based on Package Class Templates. | Jochen Lindermayr, agatay Odabasi, Markus Vlk, Yitian Chen, Richard Bormann, Marco F. Huber |
| 2023 | SMC | Self-Supervised Optimization of Hand Pose Estimation Using Anatomical Features and Iterative Learning. | Christian Jauch, Timo Leitritz, Marco F. Huber |
| 2023 | SMC | Automated Machine Learning for Remaining Useful Life Predictions. | Marc-Andr Zller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber |
| 2022 | BMVC | Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation. | Ruyu Wang, Sabrina Hoppe, Eduardo Monari, Marco F. Huber |
| 2022 | ETFA | 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 |
| 2022 | ICMLA | Mixture of Decision Trees for Interpretable Machine Learning. | Simeon Brggenjrgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber |
| 2022 | IROS | Simulation-based Learning of the Peg-in-Hole Process Using Robot-Skills. | Arik Lmmle, Philipp Tenbrock, Balzs Andrs Blint, Frank Ngele, Werner Kraus, Jzsef Vncza, Marco F. Huber |
| 2022 | IROS | 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 |
| 2022 | SMC | Cooperation of Human and Active Learning based AI for Fast and Precise Complaint Management. | Christoph Hennebold, Xiaodong Mei, Ortwin Mailahn, Marco F. Huber, Oliver Mannu |
| 2021 | IAS | Automatic Grasp Pose Generation for Parallel Jaw Grippers. | Kilian Kleeberger, Florian Roth, Richard Bormann, Marco F. Huber |
| 2021 | ICANN | Towards Measuring Bias in Image Classification. | Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber |
| 2021 | ICRA | Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation. | Kilian Kleeberger, Markus Vlk, Richard Bormann, Marco F. Huber |
| 2021 | INDIN | Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems. | Raphael Lamprecht, Ferdinand Wurst, Marco F. Huber |
| 2021 | IROS | 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 |
| 2021 | IDA | Incremental Search Space Construction for Machine Learning Pipeline Synthesis. | Marc-Andr Zller, Tien-Dung Nguyen, Marco F. Huber |
| 2021 | SMC | Unobstructed Programming-by-Demonstration for Force-Based Assembly Utilizing External Force-Torque Sensors. | Daniel Bargmann, Philipp Tenbrock, Lorenz Halt, Frank Ngele, Werner Kraus, Marco F. Huber |
| 2020 | ICRA | Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning. | Mohamed El-Shamouty, Xinyang Wu, Shanqi Yang, Marcel Albus, Marco F. Huber |
| 2020 | ICRA | Single Shot 6D Object Pose Estimation. | Kilian Kleeberger, Marco F. Huber |
| 2020 | IROS | Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes. | Kilian Kleeberger, Markus Vlk, Marius Moosmann, Erik Thiessenhusen, Florian Roth, Richard Bormann, Marco F. Huber |
| 2019 | ICMLA | Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization. | Nadia Burkart, Marco F. Huber, Phillip Faller |
| 2019 | ICMLA | Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. | Nina Schaaf, Marco F. Huber, Johannes Maucher |
| 2019 | IROS | Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking. | Kilian Kleeberger, Christian Landgraf, Marco F. Huber |
| 2018 | CIARP | Comparison of Angle and Size Features with Deep Learning for Emotion Recognition. | Patrick Dunau, Marco F. Huber, Jrgen Beyerer |
| 2018 | FUSION | Retrodiction of Data Association Probabilities via Convex Optimization. | Selim Ozgen, Florian Rosenthal, Jana Mayer, Benjamin Noack, Uwe D. Hanebeck, Marco F. Huber |
| 2018 | IAS | Reduced Feature Set for Emotion Recognition Based on Angle and Size Information. | Patrick Dunau, Mike Bonny, Marco F. Huber, Jrgen Beyerer |
| 2017 | INDIN | Framework for mining event correlations and time lags in large event sequences. | Marc-Andre Zoller, Marcus Baum, Marco F. Huber |
| 2016 | GI | Big data architecture for the semantic analysis of complex events in manufacturing. | Marco F. Huber, Martin Voigt, Axel-Cyrille Ngonga Ngomo |
| 2015 | AVSS | Collaborative multi-camera face recognition and tracking. | Jason R. Rambach, Marco F. Huber, Mark Ryan Balthasar, Abdelhak M. Zoubir |
| 2015 | ICIN | Short Paper: IoT: Challenges, projects, architectures. | Vangelis Gazis, Manuel Grtz, Marco F. Huber, Alessandro Leonardi, Kostas Mathioudakis, Alexander Wiesmaier, Florian Zeiger |
| 2015 | IWCMC | A survey of technologies for the internet of things. | Vangelis Gazis, Manuel Grtz, Marco F. Huber, Alessandro Leonardi, Kostas Mathioudakis, Alexander Wiesmaier, Florian Zeiger, Emmanouil Vasilomanolakis |
| 2014 | CVPR | Low Resolution Person Detection with a Moving Thermal Infrared Camera by Hot Spot Classification. | Michael Teutsch, Thomas Mueller, Marco F. Huber, Jrgen Beyerer |
| 2013 | FUSION | Gaussian filtering for polynomial systems based on moment homotopy. | Marco F. Huber, Uwe D. Hanebeck |
| 2013 | ICASSP | Recursive Gaussian process regression. | Marco F. Huber |
| 2012 | FUSION | Bayesian active object recognition via Gaussian process regression. | Marco F. Huber, Tobias Dencker, Masoud Roschani, Jrgen Beyerer |
| 2011 | FUSION | Adaptive Gaussian mixture filter based on statistical linearization. | Marco F. Huber |
| 2011 | GI | Superficial Gaussian Mixture Reduction. | Marco F. Huber, Peter Krauthausen, Uwe D. Hanebeck |
| 2010 | FUSION | Support-vector conditional density estimation for nonlinear filtering. | Peter Krauthausen, Marco F. Huber, Uwe D. Hanebeck |
| 2010 | FUSION | Multi-step sensor management for localizing movable sources of spatially distributed phenomena. | Achim Kuwertz, Marco F. Huber, Felix Sawo |
| 2010 | IROS | Optimal stochastic linearization for range-based localization. | Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck |
| 2009 | FUSION | Gaussian Filtering using state decomposition methods. | Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck |
| 2009 | FUSION | Distributed greedy sensor scheduling for model-based reconstruction of space-time continuous physical phenomena. | Marco F. Huber, Achim Kuwertz, Felix Sawo, Uwe D. Hanebeck |
| 2009 | FUSION | Gaussian mixture reduction via clustering. | Dennis Schieferdecker, Marco F. Huber |
| 2009 | ICASSP | Instantaneous pose estimation using rotation vectors. | Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck |
| 2009 | ICML | Analytic moment-based Gaussian process filtering. | Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hanebeck |
| 2008 | FUSION | Progressive Gaussian mixture reduction. | Marco F. Huber, Uwe D. Hanebeck |
| 2008 | FUSION | Priority list sensor scheduling using optimal pruning. | Marco F. Huber, Uwe D. Hanebeck |
| 2007 | ACC | Efficient Nonlinear Measurement Updating based on Gaussian Mixture Approximation of Conditional Densities. | Marco F. Huber, Dietrich Brunn, Uwe D. Hanebeck |
| 2007 | ACC | Efficient Control of Nonlinear Noise-Corrupted Systems Using a Novel Model Predictive Control Framework. | Florian Weissel, Marco F. Huber, Uwe D. Hanebeck |
| 2007 | FUSION | The hybrid density filter for nonlinear estimation based on hybrid conditional density approximation. | Marco F. Huber, Uwe D. Hanebeck |
| 2007 | FUSION | Parameter identification and reconstruction for distributed phenomena based on hybrid density filter. | Felix Sawo, Marco F. Huber, Uwe D. Hanebeck |
| 2007 | GI | On Sensor Scheduling in Case of Unreliable Communication. | Marco F. Huber, Eric Stiegeler, Uwe D. Hanebeck |
| 2007 | ICINCO | A closed-form model predictive control framework for nonlinear noise-corrupted systems. | Florian Weissel, Marco F. Huber, Uwe D. Hanebeck |
| 2007 | IROS | Test-environment based on a team of miniature walking robots for evaluation of collaborative control methods. | Florian Weissel, Marco F. Huber, Uwe D. Hanebeck |