Marco F. Huber

197 papers A* 7A 13B 9C 37Misc 3Journal 83Unranked 44
YearRankTypeTitle / Venue / Authors
2026 J jnl
Actor-Critic Pretraining for Proximal Policy Optimization.
CoRR
Andreas Kernbach, Amr Elsheikh, Nicolas Grupp, René Nagel, Marco F. Huber
2026 J jnl
Behavioral Cloning for Robotic Connector Assembly: An Empirical Study.
CoRR
Andreas Kernbach, Daniel Bargmann, Werner Kraus, Marco F. Huber
2026 J jnl
Machine learning-driven multi-objective parameter optimization for sustainable, efficient, and high-quality ultrasonic wire bonding.
J. Intell. Manuf.
Christoph Buchner, Benjamin Riedle, Jonas Krauß, Christian T. Seidler, Marco F. Huber, Hartmut Eigenbrod, Hans-Georg von Ribbeck, Franz Schlicht
2026 J jnl
Nest smarter, not harder: a hybrid vision-based deep reinforcement learning agent for packing 2D irregular geometries by rotational placement.
J. Intell. Manuf.
Kirolos Abdou, Amgad Ibrahim, Kai Binder, Marco F. Huber
2026 J jnl
RDF-based knowledge graph integration with deep learning for fault diagnosis.
Adv. Eng. Informatics
Maximilian-Peter Radtke, Marco F. Huber, Jürgen Bock
2026 J jnl
Simulation-based Learning of Electrical Cabinet Assembly Using Robot Skills.
CoRR
Arik Lämmle, Balázs András Bálint, Philipp Tenbrock, Frank Nägele, David Traunecker, József Váncza, Marco F. Huber
2025 J jnl
Advancing data-driven process modeling in metal forming.
Autom.
Mathias Liewald, Birgit Vogel-Heuser, Thomas Bergs, Marco F. Huber, Peer Kröger
2025 C conf
Bridging Bayesian Inference and Neural Network Training: Equivalence of KBNN and Statistical Linearization.
FUSION
Hayk Amirkhanian, Markus Walker, Uwe D. Hanebeck, Marco F. Huber
2025 C conf
Causal Mechanism Estimation in Multi-Sensor Systems Across Multiple Domains.
FUSION
Jingyi Yu, Tim Pychynski, Marco F. Huber
2025 J jnl
Causal Mechanism Estimation in Multi-Sensor Systems Across Multiple Domains.
CoRR
Jingyi Yu, Tim Pychynski, Marco F. Huber
2025 J jnl
Comparison of Large Language Models for Deployment Requirements.
CoRR
Alper Yaman, Jannik Schwab, Christof Nitsche, Abhirup Sinha, Marco F. Huber
2025 C conf
Conformity Assessment of Machine Learning-Based Quality Assurance: A Gap Analysis.
INDIN
Felix Fuchs, Martin Biller, Marco F. Huber
2025 J jnl
Efficiently Transforming Neural Networks into Decision Trees: A Path to Ground Truth Explanations with RENTT.
CoRR
Helena Monke, Benjamin Frész, Marco Bernreuther, Yilin Chen, Marco F. Huber
2025 — conf
Force Plates for Analyzing, Recording and Teaching Forces of Dis-/Assembly Processes for Robot Programming-by-Demonstration.
CASE
Daniel Bargmann, Werner Kraus, Marco F. Huber
2025 — conf
From Confusion to Clarity: ProtoScore - A Framework for Evaluating Prototype-Based XAI.
FAccT
Helena Monke, Benjamin Sae-Chew, Benjamin Frész, Marco F. Huber
2025 J jnl
From Confusion to Clarity: ProtoScore - A Framework for Evaluating Prototype-Based XAI.
CoRR
Helena Monke, Benjamin Sae-Chew, Benjamin Frész, Marco F. Huber
2025 J jnl
From Overfitting to Reliability: Introducing the Hierarchical Approximate Bayesian Neural Network.
CoRR
Hayk Amirkhanian, Marco F. Huber
2025 J jnl
Generative Adversarial Networks with Limited Data: A Survey and Benchmarking.
CoRR
Omar de Mitri, Ruyu Wang, Marco F. Huber
2025 — conf
Graphical Causal Model Based Bayesian Optimization for Industrial Process Parameterization.
CAI
Christoph Hennebold, Marco F. Huber
2025 C conf
LLMs as Data Preprocessors for Natural Language Processing in Manufacturing.
ETFA
Tom Körner, Marvin Carl May, Marco F. Huber
2025 A conf
Low-effort Iterative Dataset Generation Pipeline for Unknown Object Instance Segmentation.
IROS
Florian Jordan, Jochen Lindermayr, Richard Bormann, Marco F. Huber
2025 — conf
Multi-Domain Causal Discovery and Downstream Applications in Manufacturing Systems.
SDF
Jingyi Yu, Tim Pychynski, Marco F. Huber
2025 J jnl
Reinforcement learning-based architecture search for quantum machine learning.
Mach. Learn. Sci. Technol.
Frederic Rapp, David A. Kreplin, Marco F. Huber, Marco Roth
2025 A conf
STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation.
WACV
Ruyu Wang, Xuefeng Hou, Sabrina Schmedding, Marco F. Huber
2025 J jnl
STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation.
CoRR
Ruyu Wang, Xuefeng Hou, Sabrina Schmedding, Marco F. Huber
2025 — conf
Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization.
CAI
Philipp Wagner, Tobias Nagel, Philipp Leube, Marco F. Huber
2025 J jnl
Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization.
CoRR
Philipp Wagner, Tobias Nagel, Philipp Leube, Marco F. Huber
2025 J jnl
Towards scalability for resource reconfiguration in robotic assembly line balancing problems using a modified genetic algorithm.
J. Intell. Manuf.
Marcel Albus, Timothée Hornek, Werner Kraus, Marco F. Huber
2025 B conf
ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction.
IJCNN
Patrick Takenaka, Johannes Maucher, Marco F. Huber
2025 J jnl
ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction.
CoRR
Patrick Takenaka, Johannes Maucher, Marco F. Huber
2024 — conf
AI Certification: Empirical Investigations into Possible Cul-De-Sacs and Ways Forward (Practitioner Track).
SAIA
Benjamin Frész, Danilo Brajovic, Marco F. Huber
2024 — conf
Auto-sktime: Automated Time Series Forecasting.
LION
Marc-André Zöller, Marius Lindauer, Marco F. Huber
2024 — conf
Causal Knowledge in Data Fusion Subject to Latent Confounding and Measurement Error.
MFI
Jingyi Yu, Tim Pychynski, Marco F. Huber
2024 C conf
Causal Knowledge in Data Fusion: Systematic Evaluation on Quality Prediction and Root Cause Analysis.
FUSION
Jingyi Yu, Tim Pychynski, Karim Said Barsim, Marco F. Huber
2024 — conf
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations.
FAccT
Benjamin Frész, Lena Lörcher, Marco F. Huber
2024 J jnl
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations.
CoRR
Benjamin Frész, Lena Lörcher, Marco F. Huber
2024 J jnl
Data Efficient Prediction of excited-state properties using Quantum Neural Networks.
CoRR
Manuel Hagelüken, Marco F. Huber, Marco Roth
2024 C conf
Data-Efficient Uncertainty-Guided Model-Based Reinforcement Learning with Unscented Kalman Bayesian Neural Networks.
ACC
Xinyang Wu, Elisabeth Wedernikow, Marco F. Huber
2024 A conf
Enabling Maintainablity of Robot Programs in Assembly by Extracting Compositions of Force- and Position-Based Robot Skills from Learning-from-Demonstration Models.
IROS
Daniel Bargmann, Werner Kraus, Marco F. Huber
2024 C conf
Encoding Machine Phase Information into Heterogeneous Graphs for Adaptive Fault Diagnosis.
ETFA
Maximilian-Peter Radtke, Marco F. Huber, Jürgen Bock
2024 J jnl
Guiding Video Prediction with Explicit Procedural Knowledge.
CoRR
Patrick Takenaka, Johannes Maucher, Marco F. Huber
2024 J jnl
HIPer: A Human-Inspired Scene Perception Model for Multifunctional Mobile Robots.
CoRR
Florenz Graf, Jochen Lindermayr, Birgit Graf, Werner Kraus, Marco F. Huber
2024 J jnl
HIPer: A Human-Inspired Scene Perception Model for Multifunctional Mobile Robots.
IEEE Trans. Robotics
Florenz Graf, Jochen Lindermayr, Birgit Graf, Werner Kraus, Marco F. Huber
2024 — conf
How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European Law.
AIES (1)
Benjamin Frész, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz
2024 J jnl
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law.
CoRR
Benjamin Frész, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz
2024 B conf
Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning.
IJCNN
Tobias Nagel, Marco F. Huber
2024 J jnl
Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning.
CoRR
Tobias Nagel, Marco F. Huber
2024 A conf
Improving the Effectiveness of Deep Generative Data.
WACV
Ruyu Wang, Sabrina Schmedding, Marco F. Huber
2024 J jnl
Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management.
CoRR
Fabian Mauthe, Christopher Braun, Julian Raible, Peter Zeiler, Marco F. Huber
2024 C conf
Probabilistic Global Robustness Verification of Arbitrary Supervised Machine Learning Models.
FUSION
Max-Lion Schumacher, Marco F. Huber
2024 J jnl
Reinforcement learning-based architecture search for quantum machine learning.
CoRR
Frederic Rapp, David A. Kreplin, Marco F. Huber, Marco Roth
2024 A* conf
RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots.
ICRA
Benjamin Alt, Florian Stöckl, Silvan Müller, Christopher Braun, Julian Raible, Saad Alhasan, Oliver Rettig, Lukas Ringle, Darko Katic, Rainer Jäkel, Michael Beetz, Marcus Strand, Marco F. Huber
2024 J jnl
RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots.
CoRR
Benjamin Alt, Florian Stöckl, Silvan Müller, Christopher Braun, Julian Raible, Saad Alhasan, Oliver Rettig, Lukas Ringle, Darko Katic, Rainer Jäkel, Michael Beetz, Marcus Strand, Marco F. Huber
2024 J jnl
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks.
J. Intell. Manuf.
Kirolos Abdou, Osama Mohammed, George Eskandar, Amgad Ibrahim, Paul-Amaury Matt, Marco F. Huber
2024 J jnl
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis.
CoRR
Benjamin Frész, Vincent Philipp Goebels, Safa Omri, Danilo Brajovic, Andreas Aichele, Janika Kutz, Jens Neuhüttler, Marco F. Huber
2024 C conf
Trustworthy Bayesian Perceptrons.
FUSION
Markus Walker, Hayk Amirkhanian, Marco F. Huber, Uwe D. Hanebeck
2024 — conf
ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios Using Procedural Knowledge.
NeSy (1)
Patrick Takenaka, Johannes Maucher, Marco F. Huber
2024 J jnl
ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge.
CoRR
Patrick Takenaka, Johannes Maucher, Marco F. Huber
2023 — conf
Artificial Neural Network Guided Compensation of Nonlinear Payload and Wear Effects for Industrial Robots.
CASE
Julian Raible, Oliver Rettig, Benjamin Alt, Alper Yaman, Isabelle Gauger, Lorenzo Biasi, Silvan Müller, Darko Katic, Marcus Strand, Marco F. Huber
2023 B conf
Automated Machine Learning for Remaining Useful Life Predictions.
SMC
Marc-André Zöller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber
2023 J jnl
Automated Machine Learning for Remaining Useful Life Predictions.
CoRR
Marc-André Zöller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber
2023 C conf
Cut Interruption Detection in the Laser Cutting Process Using ROCKET on Audio Signals.
INDIN
Kathrin Leiner, Frederic P. Dollmann, Marco F. Huber, Manuel Geiger, Stefan Leinberger
2023 J jnl
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation.
CoRR
Ruyu Wang, Sabrina Hoppe, Eduardo Monari, Marco F. Huber
2023 — conf
Guiding Video Prediction with Explicit Procedural Knowledge.
ICCV (Workshops)
Patrick Takenaka, Johannes Maucher, Marco F. Huber
2023 A conf
IPA-3D1K: A Large Retail 3D Model Dataset for Robot Picking.
IROS
Jochen Lindermayr, Çagatay Odabasi, Florian Jordan, Florenz Graf, Lukas Knak, Werner Kraus, Richard Bormann, Marco F. Huber
2023 J jnl
Improving the Effectiveness of Deep Generative Data.
CoRR
Ruyu Wang, Sabrina Schmedding, Marco F. Huber
2023 A* conf
Kalman Bayesian Neural Networks for Closed-Form Online Learning.
AAAI
Philipp Wagner, Xinyang Wu, Marco F. Huber
2023 J jnl
Merging Explainable AI into Automotive Software Development.
ERCIM News
Danilo Brajovic, Marco F. Huber
2023 J jnl
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development.
CoRR
Danilo Brajovic, Niclas Renner, Vincent Philipp Goebels, Philipp Wagner, Benjamin Frész, Martin Biller, Mara Klaeb, Janika Kutz, Jens Neuhüttler, Marco F. Huber
2023 J jnl
Optimizing CAD Models with Latent Space Manipulation.
CoRR
Jannes Elstner, Raoul G. C. Schönhof, Steffen Tauber, Marco F. Huber
2023 B conf
Self-Supervised Optimization of Hand Pose Estimation Using Anatomical Features and Iterative Learning.
SMC
Christian Jauch, Timo Leitritz, Marco F. Huber
2023 J jnl
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning.
CoRR
Christian Jauch, Timo Leitritz, Marco F. Huber
2023 C conf
SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details Based on Package Class Templates.
ICVS
Jochen Lindermayr, Çagatay Odabasi, Markus Völk, Yitian Chen, Richard Bormann, Marco F. Huber
2023 C conf
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning.
IV
Xinyang Wu, Elisabeth Wedernikow, Christof Nitsche, Marco F. Huber
2023 J jnl
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning.
CoRR
Xinyang Wu, Elisabeth Wedernikow, Christof Nitsche, Marco F. Huber
2023 A* conf
Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks.
ICRA
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
2023 J jnl
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning.
ACM Trans. Interact. Intell. Syst.
Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber
2023 J jnl
auto-sktime: Automated Time Series Forecasting.
CoRR
Marc-André Zöller, Marius Lindauer, Marco F. Huber
2022 — conf
A MIMO Radar-based Few-Shot Learning Approach for Human-ID.
EUSIPCO
Pascal Weller, Fady Aziz, Sherif Abdulatif, Urs Schneider, Marco F. Huber
2022 J jnl
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules.
CoRR
Paul-Amaury Matt, Rosina Ziegler, Danilo Brajovic, Marco Roth, Marco F. Huber
2022 B conf
Cooperation of Human and Active Learning based AI for Fast and Precise Complaint Management.
SMC
Christoph Hennebold, Xiaodong Mei, Ortwin Mailahn, Marco F. Huber, Oliver Mannuß
2022 A conf
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation.
BMVC
Ruyu Wang, Sabrina Hoppe, Eduardo Monari, Marco F. Huber
2022 J jnl
Explainable AI: introducing trust and comprehensibility to AI engineering.
Autom.
Nadia Burkart, Danilo Brajovic, Marco F. Huber
2022 J jnl
Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods.
CoRR
Raoul Schönhof, Artem Werner, Jannes Elstner, Boldizsar Zopcsak, Ramez Awad, Marco F. Huber
2022 C conf
GLIR: A Practical Global-local Integrated Reactive Planner towards Safe Human-Robot Collaboration.
ETFA
Mohamed El-Shamouty, Julian Titze, Sitar Kortik, Werner Kraus, Marco F. Huber
2022 — conf
Kalman-Bucy-Informed Neural Network for System Identification.
CDC
Tobias Nagel, Marco F. Huber
2022 J jnl
Kalman-Bucy-Informed Neural Network for System Identification.
CoRR
Tobias Nagel, Marco F. Huber
2022 C conf
Mixture of Decision Trees for Interpretable Machine Learning.
ICMLA
Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber
2022 J jnl
Mixture of Decision Trees for Interpretable Machine Learning.
CoRR
Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber
2022 J jnl
Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder.
CoRR
Raoul Schönhof, Jannes Elstner, Radu Manea, Steffen Tauber, Ramez Awad, Marco F. Huber
2022 A conf
Simulation-based Learning of the Peg-in-Hole Process Using Robot-Skills.
IROS
Arik Lämmle, Philipp Tenbrock, Balázs András Bálint, Frank Nägele, Werner Kraus, József Váncza, Marco F. Huber
2022 J jnl
Toward Holistic Scene Understanding: A Transfer of Human Scene Perception to Mobile Robots.
IEEE Robotics Autom. Mag.
Florenz Graf, Jochen Lindermayr, Çagatay Odabasi, Marco F. Huber
2022 A conf
Transfer Learning for Machine Learning-based Detection and Separation of Entanglements in Bin-Picking Applications.
IROS
Marius Moosmann, Felix Spenrath, Johannes Rosport, Philipp Melzer, Werner Kraus, Richard Bormann, Marco F. Huber
2022 J jnl
Validation of XAI explanations for multivariate time series classification in the maritime domain.
J. Comput. Sci.
Manjunatha Veerappa, Mathias Anneken, Nadia Burkart, Marco F. Huber
2022 J jnl
XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning.
CoRR
Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber
2021 — conf
A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots.
CASE
Christian Landgraf, Kilian Ernst, Gesine Schleth, Marc Fabritius, Marco F. Huber
2021 J jnl
A MIMO Radar-Based Metric Learning Approach for Activity Recognition.
CoRR
Fady Aziz, Omar Metwally, Pascal Weller, Urs Schneider, Marco F. Huber
2021 J jnl
A MIMO Radar-based Few-Shot Learning Approach for Human-ID.
CoRR
Pascal Weller, Fady Aziz, Sherif Abdulatif, Urs Schneider, Marco F. Huber
2021 J jnl
A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks.
Sensors
Christian Landgraf, Bernd Meese, Michael Pabst, Georg Martius, Marco F. Huber
2021 J jnl
A Survey on the Explainability of Supervised Machine Learning.
J. Artif. Intell. Res.
Nadia Burkart, Marco F. Huber
2021 J jnl
Are you sure? Prediction revision in automated decision-making.
Expert Syst. J. Knowl. Eng.
Nadia Burkart, Sebastian Robert, Marco F. Huber
2021 — conf
Autoencoder-Inspired Identification of LTI Systems.
ECC
Tobias Nagel, Marco F. Huber
2021 C conf
Automatic Grasp Pose Generation for Parallel Jaw Grippers.
IAS
Kilian Kleeberger, Florian Roth, Richard Bormann, Marco F. Huber
2021 J jnl
Automatic Grasp Pose Generation for Parallel Jaw Grippers.
CoRR
Kilian Kleeberger, Florian Roth, Richard Bormann, Marco F. Huber
2021 J jnl
Benchmark and Survey of Automated Machine Learning Frameworks.
J. Artif. Intell. Res.
Marc-André Zöller, Marco F. Huber
2021 — conf
DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing.
EUSIPCO
Fady Aziz, Bassam Elmakhzangy, Christophe Maufroy, Urs Schneider, Marco F. Huber
2021 J jnl
DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing.
CoRR
Fady Aziz, Bassam Elmakhzangy, Christophe Maufroy, Urs Schneider, Marco F. Huber
2021 — conf
Generating a Hand Pose Data Set for Vision Based Manual Assembly Assistance Systems.
3D Imaging and Applications
Christian Jauch, Julia Denecke, Marco F. Huber
2021 B conf
Incremental Search Space Construction for Machine Learning Pipeline Synthesis.
IDA
Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber
2021 J jnl
Incremental Search Space Construction for Machine Learning Pipeline Synthesis.
CoRR
Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber
2021 A* conf
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation.
ICRA
Kilian Kleeberger, Markus Völk, Richard Bormann, Marco F. Huber
2021 J jnl
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation.
CoRR
Kilian Kleeberger, Markus Völk, Richard Bormann, Marco F. Huber
2021 J jnl
Kalman Bayesian Neural Networks for Closed-form Online Learning.
CoRR
Philipp Wagner, Xinyang Wu, Marco F. Huber
2021 A conf
Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers.
IROS
Kilian Kleeberger, Jonathan Schnitzler, Muhammad Usman Khalid, Richard Bormann, Werner Kraus, Marco F. Huber
2021 J jnl
Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers.
CoRR
Kilian Kleeberger, Jonathan Schnitzler, Muhammad Usman Khalid, Richard Bormann, Werner Kraus, Marco F. Huber
2021 C conf
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems.
INDIN
Raphael Lamprecht, Ferdinand Wurst, Marco F. Huber
2021 J jnl
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems.
CoRR
Raphael Lamprecht, Ferdinand Wurst, Marco F. Huber
2021 — conf
Reinforcement Learning based Optimization of Bayesian Networks for Generating Feasible Vehicle Configuration Suggestions.
CASE
Simon Dürr, Raphael Lamprecht, Matthias Kauffmann, Marco F. Huber
2021 — conf
Towards Measuring Bias in Image Classification.
ICANN (3)
Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber
2021 J jnl
Towards Measuring Bias in Image Classification.
CoRR
Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber
2021 J jnl
Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes.
CoRR
Kilian Kleeberger, Markus Völk, Marius Moosmann, Erik Thiessenhusen, Florian Roth, Richard Bormann, Marco F. Huber
2021 B conf
Unobstructed Programming-by-Demonstration for Force-Based Assembly Utilizing External Force-Torque Sensors.
SMC
Daniel Bargmann, Philipp Tenbrock, Lorenz Halt, Frank Nägele, Werner Kraus, Marco F. Huber
2020 J jnl
A Survey on the Explainability of Supervised Machine Learning.
CoRR
Nadia Burkart, Marco F. Huber
2020 — conf
Batch-wise Regularization of Deep Neural Networks for Interpretability.
MFI
Nadia Burkart, Philipp Michael Faller, Elisabeth Peinsipp, Marco F. Huber
2020 — conf
Bayesian Perceptron: Towards fully Bayesian Neural Networks.
CDC
Marco F. Huber
2020 J jnl
Bayesian Perceptron: Towards fully Bayesian Neural Networks.
CoRR
Marco F. Huber
2020 A* conf
Single Shot 6D Object Pose Estimation.
ICRA
Kilian Kleeberger, Marco F. Huber
2020 J jnl
Single Shot 6D Object Pose Estimation.
CoRR
Kilian Kleeberger, Marco F. Huber
2020 — conf
Supported Decision-Making by Explainable Predictions of Ship Trajectories.
SOCO
Nadia Burkart, Marco F. Huber, Mathias Anneken
2020 A* conf
Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning.
ICRA
Mohamed El-Shamouty, Xinyang Wu, Shanqi Yang, Marcel Albus, Marco F. Huber
2020 A conf
Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes.
IROS
Kilian Kleeberger, Markus Völk, Marius Moosmann, Erik Thiessenhusen, Florian Roth, Richard Bormann, Marco F. Huber
2019 — conf
A Study on Trust in Black Box Models and Post-hoc Explanations.
SOCO
Nadia El Bekri, Jasmin Kling, Marco F. Huber
2019 — conf
Deep Workpiece Region Segmentation for Bin Picking.
CASE
Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint
2019 J jnl
Deep Workpiece Region Segmentation for Bin Picking.
CoRR
Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint
2019 C conf
Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization.
ICMLA
Nina Schaaf, Marco F. Huber, Johannes Maucher
2019 J jnl
Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization.
CoRR
Nina Schaaf, Marco F. Huber
2019 C conf
Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization.
ICMLA
Nadia Burkart, Marco F. Huber, Phillip Faller
2019 — conf
Gaussian Process based Dynamic Facial Emotion Tracking.
ICPS
Patrick Dunau, Marco F. Huber, Jürgen Beyerer
2019 A conf
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking.
IROS
Kilian Kleeberger, Christian Landgraf, Marco F. Huber
2019 J jnl
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking.
CoRR
Kilian Kleeberger, Christian Landgraf, Marco F. Huber
2019 J jnl
Survey on Automated Machine Learning.
CoRR
Marc-André Zöller, Marco F. Huber
2018 C conf
Comparison of Angle and Size Features with Deep Learning for Emotion Recognition.
CIARP
Patrick Dunau, Marco F. Huber, Jürgen Beyerer
2018 J jnl
Guest Editorial Special Section on Multisensor Fusion and Integration for Intelligent Systems.
IEEE Trans. Ind. Informatics
Uwe D. Hanebeck, Marcus Baum, Marco F. Huber
2018 J jnl
Linear programming based time lag identification in event sequences.
Autom.
Marco F. Huber, Marc-Andre Zoller, Marcus Baum
2018 C conf
Reduced Feature Set for Emotion Recognition Based on Angle and Size Information.
IAS
Patrick Dunau, Mike Bonny, Marco F. Huber, Jürgen Beyerer
2018 C conf
Retrodiction of Data Association Probabilities via Convex Optimization.
FUSION
Selim Ozgen, Florian Rosenthal, Jana Mayer, Benjamin Noack, Uwe D. Hanebeck, Marco F. Huber
2017 J jnl
Conditional anomaly detection in event streams.
Autom.
Marco F. Huber
2017 C conf
Framework for mining event correlations and time lags in large event sequences.
INDIN
Marc-Andre Zoller, Marcus Baum, Marco F. Huber
2016 — conf
Bayesian score level fusion for facial recognition.
MFI
Marco F. Huber, Andreas Merentitis, Roel Heremans, Maria E. Niessen, Christian Debes, Nikolaos Frangiadakis
2016 — conf
Big data architecture for the semantic analysis of complex events in manufacturing.
GI-Jahrestagung
Marco F. Huber, Martin Voigt, Axel-Cyrille Ngonga Ngomo
2015 B conf
A survey of technologies for the internet of things.
IWCMC
Vangelis Gazis, Manuel Görtz, Marco F. Huber, Alessandro Leonardi, Kostas Mathioudakis, Alexander Wiesmaier, Florian Zeiger, Emmanouil Vasilomanolakis
2015 B conf
Collaborative multi-camera face recognition and tracking.
AVSS
Jason R. Rambach, Marco F. Huber, Mark Ryan Balthasar, Abdelhak M. Zoubir
2015 Misc conf
Short Paper: IoT: Challenges, projects, architectures.
ICIN
Vangelis Gazis, Manuel Görtz, Marco F. Huber, Alessandro Leonardi, Kostas Mathioudakis, Alexander Wiesmaier, Florian Zeiger
2014 — conf
Demonstration abstract: participatory sensing enabled environmental monitoring in smart cities.
IPSN
Florian Zeiger, Marco F. Huber
2014 — conf
Low Resolution Person Detection with a Moving Thermal Infrared Camera by Hot Spot Classification.
CVPR Workshops
Michael Teutsch, Thomas Mueller, Marco F. Huber, Jürgen Beyerer
2014 J jnl
Recursive Gaussian process: On-line regression and learning.
Pattern Recognit. Lett.
Marco F. Huber
2013 J jnl
Chebyshev polynomial Kalman filter.
Digit. Signal Process.
Marco F. Huber
2013 C conf
Gaussian filtering for polynomial systems based on moment homotopy.
FUSION
Marco F. Huber, Uwe D. Hanebeck
2013 — conf
On weak distance between distributions in application to tracking.
SDF
Alexey Pak, Marco F. Huber, Andrey Belkin
2013 Misc conf
Recursive Gaussian process regression.
ICASSP
Marco F. Huber
2012 J jnl
Adaptive Gaussian Mixture Filter Based on Statistical Linearization
CoRR
Marco F. Huber
2012 C conf
Bayesian active object recognition via Gaussian process regression.
FUSION
Marco F. Huber, Tobias Dencker, Masoud Roschani, Jürgen Beyerer
2012 J jnl
Optimal Pruning for Multi-Step Sensor Scheduling
CoRR
Marco F. Huber
2012 J jnl
Optimal Pruning for Multi-Step Sensor Scheduling.
IEEE Trans. Autom. Control.
Marco F. Huber
2012 J jnl
Robust Filtering and Smoothing with Gaussian Processes
CoRR
Marc Peter Deisenroth, Ryan D. Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen
2012 J jnl
Robust Filtering and Smoothing with Gaussian Processes.
IEEE Trans. Autom. Control.
Marc Peter Deisenroth, Ryan D. Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen
2011 C conf
Adaptive Gaussian mixture filter based on statistical linearization.
FUSION
Marco F. Huber
2011 C conf
Semi-analytic Gaussian Assumed Density Filter.
ACC
Marco F. Huber, Frederik Beutler, Uwe D. Hanebeck
2011 — conf
Superficial Gaussian Mixture Reduction.
GI-Jahrestagung
Marco F. Huber, Peter Krauthausen, Uwe D. Hanebeck
2010 C conf
Multi-step sensor management for localizing movable sources of spatially distributed phenomena.
FUSION
Achim Kuwertz, Marco F. Huber, Felix Sawo
2010 — conf
On multi-step sensor scheduling via convex optimization.
CIP
Marco F. Huber
2010 A conf
Optimal stochastic linearization for range-based localization.
IROS
Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck
2010 — conf
Semi-analytic stochastic linearization for range-based pose tracking.
MFI
Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck
2010 C conf
Support-vector conditional density estimation for nonlinear filtering.
FUSION
Peter Krauthausen, Marco F. Huber, Uwe D. Hanebeck
2009 A* conf
Analytic moment-based Gaussian process filtering.
ICML
Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hanebeck
2009 — conf
Dirac mixture approximation of multivariate Gaussian densities.
CDC
Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp
2009 C conf
Distributed greedy sensor scheduling for model-based reconstruction of space-time continuous physical phenomena.
FUSION
Marco F. Huber, Achim Kuwertz, Felix Sawo, Uwe D. Hanebeck
2009 C conf
Gaussian Filtering using state decomposition methods.
FUSION
Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck
2009 C conf
Gaussian mixture reduction via clustering.
FUSION
Dennis Schieferdecker, Marco F. Huber
2009 Misc conf
Instantaneous pose estimation using rotation vectors.
ICASSP
Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck
2009 — —
Probabilistic Framework for Sensor Management
Marco F. Huber
2009 J jnl
Probabilistic instantaneous model-based signal processing applied to localization and tracking.
Robotics Auton. Syst.
Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck
2008 — conf
On entropy approximation for Gaussian mixture random vectors.
MFI
Marco F. Huber, Tim Bailey, Hugh F. Durrant-Whyte, Uwe D. Hanebeck
2008 C conf
Priority list sensor scheduling using optimal pruning.
FUSION
Marco F. Huber, Uwe D. Hanebeck
2008 C conf
Progressive Gaussian mixture reduction.
FUSION
Marco F. Huber, Uwe D. Hanebeck
2008 — conf
Stochastic model predictive control of time-variant nonlinear systems with imperfect state information.
MFI
Florian Weissel, Thomas Schreiter, Marco F. Huber, Uwe D. Hanebeck
2007 — conf
A closed-form model predictive control framework for nonlinear noise-corrupted systems.
ICINCO-SPSMC
Florian Weissel, Marco F. Huber, Uwe D. Hanebeck
2007 — conf
A nonlinear model predictive control framework approximating noise corrupted systems with hybrid transition densities.
CDC
Florian Weissel, Marco F. Huber, Uwe D. Hanebeck
2007 C conf
Efficient Control of Nonlinear Noise-Corrupted Systems Using a Novel Model Predictive Control Framework.
ACC
Florian Weissel, Marco F. Huber, Uwe D. Hanebeck
2007 C conf
Efficient Nonlinear Measurement Updating based on Gaussian Mixture Approximation of Conditional Densities.
ACC
Marco F. Huber, Dietrich Brunn, Uwe D. Hanebeck
2007 — conf
Hybrid transition density approximation for efficient recursive prediction of nonlinear dynamic systems.
IPSN
Marco F. Huber, Uwe D. Hanebeck
2007 — conf
On Sensor Scheduling in Case of Unreliable Communication.
GI Jahrestagung (2)
Marco F. Huber, Eric Stiegeler, Uwe D. Hanebeck
2007 C conf
Parameter identification and reconstruction for distributed phenomena based on hybrid density filter.
FUSION
Felix Sawo, Marco F. Huber, Uwe D. Hanebeck
2007 A conf
Test-environment based on a team of miniature walking robots for evaluation of collaborative control methods.
IROS
Florian Weissel, Marco F. Huber, Uwe D. Hanebeck
2007 C conf
The hybrid density filter for nonlinear estimation based on hybrid conditional density approximation.
FUSION
Marco F. Huber, Uwe D. Hanebeck
2006 — conf
Closed-Form Prediction of Nonlinear Dynamic Systems by Means of Gaussian Mixture Approximation of the Transition Density.
MFI
Marco F. Huber, Dietrich Brunn, Uwe D. Hanebeck
2005 — conf
Navigation of Walking Robots: Path Planning.
CLAWAR
Bernd Gaßmann, Marco F. Huber, Johann Marius Zöllner, Rüdiger Dillmann