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math.DS2026
Forced-Term Modeling in the Koopman Framework for Linear Operator Learning in Nonlinear Dynamical Systems
Paolo Climaco, Jochen Garcke, Xenia F. Gerloff
We study the problem of extracting reliable and interpretable linear models from nonlinear dynamical systems with periodic behavior. Dynamic Mode Decomposition (DMD) is a widely us…
cs.LG2026
Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigation
Wendong Li, Jochen Garcke
Robot crowd navigation requires safe and efficient decision-making under dense, dynamic, and multimodal human--robot interactions. Existing reinforcement-learning methods typically…
cs.CE2026
Accelerating gas-network feasibility screening with a physics-informed graph neural network surrogate
Dongrui Jiang, Jochen Garcke, Okan Akca +4
Large-scale gas-network scenario evaluation is a computational bottleneck in integrated energy-system planning, particularly when gas infrastructure interacts with power, heat, hyd…