Lars Mikelsons

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 22

Top Topics

Motion Prediction

Bayesian Inference

Commit Protocols

Top Venues

Publications

Phillip Mueller, Jannik Wiese, Ioan Craciun, Lars Mikelsons
InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture. CoRR (2024)
Tobias Demmler, Andreas Tamke, Thao Dang, Karsten Haug, Lars Mikelsons
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention. CoRR (2024)
Phillip Mueller, Lars Mikelsons
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception. CoRR (2024)
Tobias Thummerer, Lars Mikelsons
Learnable & Interpretable Model Combination in Dynamic Systems Modeling. CoRR (2024)
Peter Baumann, Lars Mikelsons, Oliver Kotte, Dieter Schramm
Analyzing the coupling process of distributed mixed real-virtual prototypes. CoRR (2024)
Tobias Demmler, Andreas Tamke, Thao Dang, Karsten Haug, Lars Mikelsons
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention. IV (2024)
Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons
Imitation learning by state-only distribution matching. Appl. Intell. 53 (24) (2023)
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) (2023)
Tobias Thummerer, Lars Mikelsons
Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs. CoRR (2023)
Lennart Luttkus, Lars Mikelsons
Key Requirements for Autonomous Micromobility Vehicle Simulators. SMC (2023)
Yi Zhang, Lars Mikelsons
Solving Stochastic Inverse Problems with Stochastic BayesFlow. AIM (2023)
Monika Elisabeth Heringhaus, Yi Zhang, André Zimmermann, Lars Mikelsons
Towards Reliable Parameter Extraction in MEMS Final Module Testing Using Bayesian Inference. Sensors 22 (14) (2022)
Tobias Thummerer, Johannes Stoljar, Lars Mikelsons
NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications. CoRR (2022)
Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons
Imitation Learning by State-Only Distribution Matching. CoRR (2022)
Tobias Thummerer, Johannes Tintenherr, Lars Mikelsons
Hybrid modeling of the human cardiovascular system using NeuralFMUs. CoRR (2021)
Tobias Thummerer, Josef Kircher, Lars Mikelsons
NeuralFMU: Towards Structural Integration of FMUs into Neural Networks. CoRR (2021)
Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons
Learning Normalizing Flow Policies Based on Highway Demonstrations. ITSC (2021)
Damian Boborzi, Florian Kleinicke, Jens S. Buchner, Lars Mikelsons
Learning to Drive from Observations while Staying Safe. IV Workshops (2021)
Lennart Luttkus, Lars Mikelsons, Peter Baumann, Oliver Kotte
A simulation based interaction analysis of automated vehicles. SummerSim (2019)
Peter Baumann, Roland Samlaus, Lars Mikelsons, Thomas Kuhn, Jasmin Jahic
Towards virtual validation of distributed functions. SummerSim (2019)
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)
Lars Mikelsons, Roland Samlaus
Towards Virtual Validation of ECU Software using FMI. Modelica (2017)
Lars Mikelsons, Tobias Bruckmann, Manfred Hiller, Dieter Schramm
A real-time capable force calculation algorithm for redundant tendon-based parallel manipulators. ICRA (2008)