Lars Mikelsons

According to our database, Lars Mikelsons authored at least 33 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Holistic Specification of the Human Digital Twin: Stakeholders, Users, Functionalities, and Applications.

Nils Mandischer, Alexander Atanasyan, Ulrich Dahmen, Michael Schluse, Jürgen Rossmann, Lars Mikelsons

CoRR, July, 2025

Conjugated Capabilities: Interrelations of Elementary Human Capabilities and Their Implication on Human-Machine Task Allocation and Capability Testing Procedures.

Nils Mandischer, Larissa Füller, Torsten Alles, Frank Flemisch, Lars Mikelsons

CoRR, July, 2025

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance.

Tobias Demmler, Jakob Häringer, Andreas Tamke, Thao Dang, Alexander Hegai, Lars Mikelsons

CoRR, July, 2025

Masked Conditioning for Deep Generative Models.

Phillip Mueller, Jannik Wiese, Sebastian Mueller, Lars Mikelsons

CoRR, May, 2025

Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction.

Tobias Demmler, Lennart Hartung, Andreas Tamke, Thao Dang, Alexander Hegai, Karsten Haug, Lars Mikelsons

CoRR, April, 2025

MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling.

Damian Boborzi, Phillip Mueller, Jonas Emrich, Dominik Schmid, Sebastian Mueller, Lars Mikelsons

CoRR, March, 2025

Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations.

Julius Aka, Johannes Brunnemann, Jörg Eiden, Arne Speerforck, Lars Mikelsons

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Towards human capability estimation to enhance human-robot team performance.

Nils Mandischer, Lars Mikelsons

Autom., November, 2024

GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design.

Phillip Mueller, Sebastian Mueller, Lars Mikelsons

CoRR, 2024

Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception.

Phillip Mueller, Lars Mikelsons

CoRR, 2024

InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture.

Phillip Mueller, Jannik Wiese, Ioan Craciun, Lars Mikelsons

CoRR, 2024

Learnable & Interpretable Model Combination in Dynamic Systems Modeling.

Tobias Thummerer, Lars Mikelsons

CoRR, 2024

Analyzing the coupling process of distributed mixed real-virtual prototypes.

Peter Baumann, Lars Mikelsons, Oliver Kotte, Dieter Schramm

CoRR, 2024

Exploring Capability-Based Control Distributions of Human-Robot Teams Through Capability Deltas: Formalization and Implications.

Nils Mandischer, Marcel Usai, Frank Flemisch, Lars Mikelsons

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Perspectives-Observer-Transparency - A Novel Paradigm for Modelling the Human in Human-To-Anything Interaction Based on a Structured Review of the Human Digital Twin.

Nils Mandischer, Alexander Atanasyan, Michael Schluse, Jürgen Roßmann, Lars Mikelsons

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention.

Tobias Demmler, Andreas Tamke, Thao Dang, Karsten Haug, Lars Mikelsons

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

IMFlow: Inverse Modeling with Conditional Normalizing Flows for Data-Driven Model Predictive Control.

Yi Zhang, Lars Mikelsons

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Imitation learning by state-only distribution matching.

Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons

Appl. Intell., December, 2023

Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration.

Yi Zhang, Lars Mikelsons

Adv. Model. Simul. Eng. Sci., December, 2023

Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs.

Tobias Thummerer, Lars Mikelsons

CoRR, 2023

Key Requirements for Autonomous Micromobility Vehicle Simulators.

Lennart Luttkus, Lars Mikelsons

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Solving Stochastic Inverse Problems with Stochastic BayesFlow.

Yi Zhang, Lars Mikelsons

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

2022

Towards Reliable Parameter Extraction in MEMS Final Module Testing Using Bayesian Inference.

Monika Elisabeth Heringhaus, Yi Zhang, André Zimmermann, Lars Mikelsons

Sensors, 2022

NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications.

Tobias Thummerer, Johannes Stoljar, Lars Mikelsons

CoRR, 2022

2021

Hybrid modeling of the human cardiovascular system using NeuralFMUs.

Tobias Thummerer, Johannes Tintenherr, Lars Mikelsons

CoRR, 2021

NeuralFMU: Towards Structural Integration of FMUs into Neural Networks.

Tobias Thummerer, Josef Kircher, Lars Mikelsons

CoRR, 2021

Learning to Drive from Observations while Staying Safe.

Damian Boborzi, Florian Kleinicke, Jens S. Buchner, Lars Mikelsons

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Learning Normalizing Flow Policies Based on Highway Demonstrations.

Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2019

A simulation based interaction analysis of automated vehicles.

Lennart Luttkus, Lars Mikelsons, Peter Baumann, Oliver Kotte

Proceedings of the 2019 Summer Simulation Conference, 2019

Towards virtual validation of distributed functions.

Peter Baumann, Roland Samlaus, Lars Mikelsons, Thomas Kuhn, Jasmin Jahic

Proceedings of the 2019 Summer Simulation Conference, 2019

Using the Distributed Co-Simulation Protocol for a Mixed Real-Virtual Prototype.

Peter Baumann, Martin Krammer, Mario Driussi, Lars Mikelsons, Josef Zehetner, Werner Mair, Dieter Schramm

Proceedings of the IEEE International Conference on Mechatronics, 2019

2017

Towards Virtual Validation of ECU Software using FMI.

Lars Mikelsons, Roland Samlaus

Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, 2017

2008

A real-time capable force calculation algorithm for redundant tendon-based parallel manipulators.

Lars Mikelsons, Tobias Bruckmann, Manfred Hiller, Dieter Schramm

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008