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Lars Mikelsons
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2020 – today
- 2026
[c17]Stina Klein, Birgit Prodinger, Elisabeth André, Lars Mikelsons, Nils Mandischer:
Assistive Robots and Reasonable Work Assignment Reduce Perceived Stigma toward Persons with Disabilities. HRI Companion 2026: 80-84
[i22]Stina Klein, Birgit Prodinger, Elisabeth André, Lars Mikelsons, Nils Mandischer:
Assistive Robots and Reasonable Work Assignment Reduce Perceived Stigma toward Persons with Disabilities. CoRR abs/2601.22689 (2026)- 2025
[c16]Julius Aka, Johannes Brunnemann, Jörg Eiden, Arne Speerforck, Lars Mikelsons:
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations. ICLR 2025
[c15]Nils Mandischer, Alexander Atanasyan, Ulrich Dahmen, Michael Schluse, Jürgen Rossmann, Lars Mikelsons:
Holistic Specification of the Human Digital Twin: Stakeholders, Users, Functionalities, and Applications. SMC 2025: 3626-3633
[c14]Nils Mandischer, Larissa Füller, Torsten Alles, Frank Flemisch, Lars Mikelsons:
Conjugated Capabilities: Interrelations of Elementary Human Capabilities and Their Implication on Human-Machine Task Allocation and Capability Testing Procedures. SMC 2025: 5946-5953
[i21]Damian Boborzi, Phillip Mueller, Jonas Emrich, Dominik Schmid, Sebastian Mueller, Lars Mikelsons:
MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling. CoRR abs/2503.14002 (2025)
[i20]Tobias Demmler, Lennart Hartung, Andreas Tamke, Thao Dang, Alexander Hegai, Karsten Haug, Lars Mikelsons:
Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction. CoRR abs/2504.15766 (2025)
[i19]Phillip Mueller, Jannik Wiese, Sebastian Mueller, Lars Mikelsons:
Masked Conditioning for Deep Generative Models. CoRR abs/2505.16725 (2025)
[i18]Tobias Demmler, Jakob Häringer, Andreas Tamke, Thao Dang, Alexander Hegai, Lars Mikelsons:
Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance. CoRR abs/2507.05098 (2025)
[i17]Nils Mandischer, Larissa Füller, Torsten Alles, Frank Flemisch, Lars Mikelsons:
Conjugated Capabilities: Interrelations of Elementary Human Capabilities and Their Implication on Human-Machine Task Allocation and Capability Testing Procedures. CoRR abs/2507.07560 (2025)
[i16]Nils Mandischer, Alexander Atanasyan, Ulrich Dahmen, Michael Schluse, Jürgen Rossmann, Lars Mikelsons:
Holistic Specification of the Human Digital Twin: Stakeholders, Users, Functionalities, and Applications. CoRR abs/2507.14859 (2025)
[i15]Phillip Mueller, Talip Uenlue, Sebastian Schmidt, Marcel Kollovieh, Jiajie Fan, Stephan Günnemann, Lars Mikelsons:
GeoDiffusion: A Training-Free Framework for Accurate 3D Geometric Conditioning in Image Generation. CoRR abs/2510.22337 (2025)- 2024
[j4]Nils Mandischer
, Lars Mikelsons
:
Towards human capability estimation to enhance human-robot team performance. Autom. 72(12): 1141-1159 (2024)
[c13]Yi Zhang
, Lars Mikelsons:
IMFlow: Inverse Modeling with Conditional Normalizing Flows for Data-Driven Model Predictive Control. CDC 2024: 3353-3359
[c12]Tobias Demmler
, Andreas Tamke, Thao Dang, Karsten Haug, Lars Mikelsons:
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention. IV 2024: 168-175
[c11]Nils Mandischer, Alexander Atanasyan, Michael Schluse, Jürgen Roßmann, Lars Mikelsons:
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 2024: 215-222
[c10]Nils Mandischer, Marcel Usai
, Frank Flemisch, Lars Mikelsons:
Exploring Capability-Based Control Distributions of Human-Robot Teams Through Capability Deltas: Formalization and Implications. SMC 2024: 986-993
[i14]Peter Baumann, Lars Mikelsons, Oliver Kotte, Dieter Schramm:
Analyzing the coupling process of distributed mixed real-virtual prototypes. CoRR abs/2401.11779 (2024)
[i13]Tobias Demmler, Andreas Tamke, Thao Dang, Karsten Haug, Lars Mikelsons:
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention. CoRR abs/2405.10134 (2024)
[i12]Tobias Thummerer, Lars Mikelsons:
Learnable & Interpretable Model Combination in Dynamic Systems Modeling. CoRR abs/2406.08093 (2024)
[i11]Phillip Mueller, Jannik Wiese, Ioan Craciun, Lars Mikelsons:
InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture. CoRR abs/2407.10592 (2024)
[i10]Phillip Mueller, Lars Mikelsons:
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception. CoRR abs/2407.11104 (2024)
[i9]Nils Mandischer
, Marcel Usai, Frank Flemisch, Lars Mikelsons:
Exploring Capability-Based Control Distributions of Human-Robot Teams Through Capability Deltas: Formalization and Implications. CoRR abs/2408.05069 (2024)
[i8]Nils Mandischer
, Alexander Atanasyan, Michael Schluse, Jürgen Roßmann, Lars Mikelsons:
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 abs/2408.06785 (2024)
[i7]Phillip Mueller, Sebastian Mueller, Lars Mikelsons:
GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design. CoRR abs/2409.17045 (2024)
[i6]Julius Aka
, Johannes Brunnemann, Jörg Eiden, Arne Speerforck, Lars Mikelsons:
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations. CoRR abs/2410.10174 (2024)- 2023
[j3]Yi Zhang
, Lars Mikelsons:
Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration. Adv. Model. Simul. Eng. Sci. 10(1): 9 (2023)
[j2]Damian Boborzi
, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons:
Imitation learning by state-only distribution matching. Appl. Intell. 53(24): 30865-30886 (2023)
[c9]Yi Zhang
, Lars Mikelsons:
Solving Stochastic Inverse Problems with Stochastic BayesFlow. AIM 2023: 966-972
[c8]Lennart Luttkus, Lars Mikelsons:
Key Requirements for Autonomous Micromobility Vehicle Simulators. SMC 2023: 1506-1511
[i5]Tobias Thummerer, Lars Mikelsons:
Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs. CoRR abs/2302.10892 (2023)- 2022
[j1]Monika Elisabeth Heringhaus
, Yi Zhang
, André Zimmermann
, Lars Mikelsons:
Towards Reliable Parameter Extraction in MEMS Final Module Testing Using Bayesian Inference. Sensors 22(14): 5408 (2022)
[i4]Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons:
Imitation Learning by State-Only Distribution Matching. CoRR abs/2202.04332 (2022)
[i3]Tobias Thummerer, Johannes Stoljar, Lars Mikelsons:
NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications. CoRR abs/2209.03933 (2022)- 2021
[c7]Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons:
Learning Normalizing Flow Policies Based on Highway Demonstrations. ITSC 2021: 22-29
[c6]Damian Boborzi, Florian Kleinicke, Jens S. Buchner, Lars Mikelsons:
Learning to Drive from Observations while Staying Safe. IV Workshops 2021: 160-167
[i2]Tobias Thummerer, Josef Kircher, Lars Mikelsons:
NeuralFMU: Towards Structural Integration of FMUs into Neural Networks. CoRR abs/2109.04351 (2021)
[i1]Tobias Thummerer, Johannes Tintenherr, Lars Mikelsons:
Hybrid modeling of the human cardiovascular system using NeuralFMUs. CoRR abs/2109.04880 (2021)
2010 – 2019
- 2019
[c5]Peter Baumann, Martin Krammer, Mario Driussi, Lars Mikelsons, Josef Zehetner, Werner Mair, Dieter Schramm
:
Using the Distributed Co-Simulation Protocol for a Mixed Real-Virtual Prototype. ICM 2019: 440-445
[c4]Peter Baumann, Roland Samlaus, Lars Mikelsons, Thomas Kuhn, Jasmin Jahic:
Towards virtual validation of distributed functions. SummerSim 2019: 5:1-5:12
[c3]Lennart Luttkus, Lars Mikelsons, Peter Baumann, Oliver Kotte:
A simulation based interaction analysis of automated vehicles. SummerSim 2019: 6:1-6:11- 2017
[c2]Lars Mikelsons, Roland Samlaus:
Towards Virtual Validation of ECU Software using FMI. Modelica 2017: 132:033
2000 – 2009
- 2008
[c1]Lars Mikelsons, Tobias Bruckmann
, Manfred Hiller, Dieter Schramm
:
A real-time capable force calculation algorithm for redundant tendon-based parallel manipulators. ICRA 2008: 3869-3874
Coauthor Index

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last updated on 2026-03-17 00:08 CET by the dblp team
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