Lars Mikelsons

44 papers A* 2B 5C 1Journal 26Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Assistive Robots and Reasonable Work Assignment Reduce Perceived Stigma toward Persons with Disabilities. HRI Companion Stina Klein, Birgit Prodinger, Elisabeth André, Lars Mikelsons, Nils Mandischer
2026	J	`jnl`	Assistive Robots and Reasonable Work Assignment Reduce Perceived Stigma toward Persons with Disabilities. CoRR Stina Klein, Birgit Prodinger, Elisabeth André, Lars Mikelsons, Nils Mandischer
2025	A*	`conf`	Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations. ICLR Julius Aka, Johannes Brunnemann, Jörg Eiden, Arne Speerforck, Lars Mikelsons
2025	—	`conf`	Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance. ITSC Tobias Demmler, Jakob Häringer, Andreas Tamke, Thao Dang, Alexander Hegai, Lars Mikelsons
2025	J	`jnl`	Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance. CoRR Tobias Demmler, Jakob Häringer, Andreas Tamke, Thao Dang, Alexander Hegai, Lars Mikelsons
2025	B	`conf`	Conjugated Capabilities: Interrelations of Elementary Human Capabilities and Their Implication on Human-Machine Task Allocation and Capability Testing Procedures. SMC Nils Mandischer, Larissa Füller, Torsten Alles, Frank Flemisch, Lars Mikelsons
2025	J	`jnl`	Conjugated Capabilities: Interrelations of Elementary Human Capabilities and Their Implication on Human-Machine Task Allocation and Capability Testing Procedures. CoRR Nils Mandischer, Larissa Füller, Torsten Alles, Frank Flemisch, Lars Mikelsons
2025	J	`jnl`	Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction. CoRR Tobias Demmler, Lennart Hartung, Andreas Tamke, Thao Dang, Alexander Hegai, Karsten Haug, Lars Mikelsons
2025	J	`jnl`	GeoDiffusion: A Training-Free Framework for Accurate 3D Geometric Conditioning in Image Generation. CoRR Phillip Mueller, Talip Uenlue, Sebastian Schmidt, Marcel Kollovieh, Jiajie Fan, Stephan Günnemann, Lars Mikelsons
2025	B	`conf`	Holistic Specification of the Human Digital Twin: Stakeholders, Users, Functionalities, and Applications. SMC Nils Mandischer, Alexander Atanasyan, Ulrich Dahmen, Michael Schluse, Jürgen Rossmann, Lars Mikelsons
2025	J	`jnl`	Holistic Specification of the Human Digital Twin: Stakeholders, Users, Functionalities, and Applications. CoRR Nils Mandischer, Alexander Atanasyan, Ulrich Dahmen, Michael Schluse, Jürgen Rossmann, Lars Mikelsons
2025	J	`jnl`	Masked Conditioning for Deep Generative Models. CoRR Phillip Mueller, Jannik Wiese, Sebastian Mueller, Lars Mikelsons
2025	J	`jnl`	MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling. CoRR Damian Boborzi, Phillip Mueller, Jonas Emrich, Dominik Schmid, Sebastian Mueller, Lars Mikelsons
2024	J	`jnl`	Analyzing the coupling process of distributed mixed real-virtual prototypes. CoRR Peter Baumann, Lars Mikelsons, Oliver Kotte, Dieter Schramm
2024	J	`jnl`	Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations. CoRR Julius Aka, Johannes Brunnemann, Jörg Eiden, Arne Speerforck, Lars Mikelsons
2024	B	`conf`	Exploring Capability-Based Control Distributions of Human-Robot Teams Through Capability Deltas: Formalization and Implications. SMC Nils Mandischer, Marcel Usai, Frank Flemisch, Lars Mikelsons
2024	J	`jnl`	Exploring Capability-Based Control Distributions of Human-Robot Teams Through Capability Deltas: Formalization and Implications. CoRR Nils Mandischer, Marcel Usai, Frank Flemisch, Lars Mikelsons
2024	J	`jnl`	Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception. CoRR Phillip Mueller, Lars Mikelsons
2024	J	`jnl`	GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design. CoRR Phillip Mueller, Sebastian Mueller, Lars Mikelsons
2024	—	`conf`	IMFlow: Inverse Modeling with Conditional Normalizing Flows for Data-Driven Model Predictive Control. CDC Yi Zhang, Lars Mikelsons
2024	J	`jnl`	InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture. CoRR Phillip Mueller, Jannik Wiese, Ioan Craciun, Lars Mikelsons
2024	J	`jnl`	Learnable & Interpretable Model Combination in Dynamic Systems Modeling. CoRR Tobias Thummerer, Lars Mikelsons
2024	B	`conf`	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. SMC Nils Mandischer, Alexander Atanasyan, Michael Schluse, Jürgen Roßmann, Lars Mikelsons
2024	J	`jnl`	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. CoRR Nils Mandischer, Alexander Atanasyan, Michael Schluse, Jürgen Roßmann, Lars Mikelsons
2024	C	`conf`	Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention. IV Tobias Demmler, Andreas Tamke, Thao Dang, Karsten Haug, Lars Mikelsons
2024	J	`jnl`	Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention. CoRR Tobias Demmler, Andreas Tamke, Thao Dang, Karsten Haug, Lars Mikelsons
2024	J	`jnl`	Towards human capability estimation to enhance human-robot team performance. Autom. Nils Mandischer, Lars Mikelsons
2023	J	`jnl`	Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs. CoRR Tobias Thummerer, Lars Mikelsons
2023	J	`jnl`	Imitation learning by state-only distribution matching. Appl. Intell. Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons
2023	B	`conf`	Key Requirements for Autonomous Micromobility Vehicle Simulators. SMC Lennart Luttkus, Lars Mikelsons
2023	J	`jnl`	Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration. Adv. Model. Simul. Eng. Sci. Yi Zhang, Lars Mikelsons
2023	—	`conf`	Solving Stochastic Inverse Problems with Stochastic BayesFlow. AIM Yi Zhang, Lars Mikelsons
2022	J	`jnl`	Imitation Learning by State-Only Distribution Matching. CoRR Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons
2022	J	`jnl`	NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications. CoRR Tobias Thummerer, Johannes Stoljar, Lars Mikelsons
2022	J	`jnl`	Towards Reliable Parameter Extraction in MEMS Final Module Testing Using Bayesian Inference. Sensors Monika Elisabeth Heringhaus, Yi Zhang, André Zimmermann, Lars Mikelsons
2021	J	`jnl`	Hybrid modeling of the human cardiovascular system using NeuralFMUs. CoRR Tobias Thummerer, Johannes Tintenherr, Lars Mikelsons
2021	—	`conf`	Learning Normalizing Flow Policies Based on Highway Demonstrations. ITSC Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons
2021	—	`conf`	Learning to Drive from Observations while Staying Safe. IV Workshops Damian Boborzi, Florian Kleinicke, Jens S. Buchner, Lars Mikelsons
2021	J	`jnl`	NeuralFMU: Towards Structural Integration of FMUs into Neural Networks. CoRR Tobias Thummerer, Josef Kircher, Lars Mikelsons
2019	—	`conf`	A simulation based interaction analysis of automated vehicles. SummerSim Lennart Luttkus, Lars Mikelsons, Peter Baumann, Oliver Kotte
2019	—	`conf`	Towards virtual validation of distributed functions. SummerSim Peter Baumann, Roland Samlaus, Lars Mikelsons, Thomas Kuhn, Jasmin Jahic
2019	—	`conf`	Using the Distributed Co-Simulation Protocol for a Mixed Real-Virtual Prototype. ICM Peter Baumann, Martin Krammer, Mario Driussi, Lars Mikelsons, Josef Zehetner, Werner Mair, Dieter Schramm
2017	—	`conf`	Towards Virtual Validation of ECU Software using FMI. Modelica Lars Mikelsons, Roland Samlaus
2008	A*	`conf`	A real-time capable force calculation algorithm for redundant tendon-based parallel manipulators. ICRA Lars Mikelsons, Tobias Bruckmann, Manfred Hiller, Dieter Schramm