Jonas Ulmen

According to our database, Jonas Ulmen authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Learning State-Space Models of Dynamic Systems from Arbitrary Data using Joint Embedding Predictive Architectures.

Jonas Ulmen, Ganesh Sundaram, Daniel Görges

CoRR, August, 2025

COMponent-Aware Pruning for Accelerated Control Tasks in Latent Space Models.

Ganesh Sundaram, Jonas Ulmen, Amjad Haider, Daniel Görges

CoRR, August, 2025

Application-Specific Component-Aware Structured Pruning of Deep Neural Networks via Soft Coefficient Optimization.

Ganesh Sundaram, Jonas Ulmen, Amjad Haider, Daniel Görges

CoRR, July, 2025

Enhanced Pruning Strategy for Multi-Component Neural Architectures Using Component-Aware Graph Analysis.

Ganesh Sundaram, Jonas Ulmen, Daniel Görges

CoRR, April, 2025

2024

State Derivative Normalization for Continuous-Time Deep Neural Networks.

Jonas Weigand, Gerben Izaak Beintema, Jonas Ulmen, Daniel Görges, Roland Tóth, Maarten Schoukens, Martin Ruskowski

CoRR, 2024

2023

Stochastic MPC with Situation-Aware Dynamic Risk Assessment for Autonomous Driving.

Jonas Ulmen, Marc Wellstein, Christoph Mark, Ganesh Sundaram, Daniel Görges, Jan Reich

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Development of an End-to-End Tool Chain for AI-Assisted Generation and Optimization of Operating Strategies for Hybrid Electric Vehicles.

Tobias Gehra, Ganesh Sundaram, Mirjan Heubaum, Jonas Ulmen, Michael Günthner, Daniel Görges

Proceedings of the International Conference on Electrical, 2023

2020

Dynamic Parameter Estimation Utilizing Optimized Trajectories.

Argtim Tika, Jonas Ulmen, Naim Bajçinca

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020