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20242026
most citedGroup-Convolutional Extended Dynamic Mode Decomposition

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.MA2026

Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-Bénard Convection

Jan Stenner, Hans Harder, Sebastian Peitz

This paper studies sparse sensor placement for control of Rayleigh-Bénard convection with multi-agent reinforcement learning. We train dense expert policies with windowed observati…

cs.LG2025

Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems

Hans Harder, Abhijeet Vishwasrao, Luca Guastoni +2

This paper is concerned with probabilistic techniques for forecasting dynamical systems described by partial differential equations (such as, for example, the Navier-Stokes equatio…

cs.LG2025

Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders

Fynn Fromme, Hans Harder, Christine Allen-Blanchette +1

The use of machine learning for modeling, understanding, and controlling large-scale physics systems is quickly gaining in popularity, with examples ranging from electromagnetism o…

math.DS2024★ 2 cited

Group-Convolutional Extended Dynamic Mode Decomposition

Hans Harder, Feliks Nüske, Friedrich M. Philipp +3

This paper explores the integration of symmetries into the Koopman-operator framework for the analysis and efficient learning of equivariant dynamical systems using a group-convolu…

cs.LG2024

Solving Partial Differential Equations with Equivariant Extreme Learning Machines

Hans Harder, Jean Rabault, Ricardo Vinuesa +2

We utilize extreme-learning machines for the prediction of partial differential equations (PDEs). Our method splits the state space into multiple windows that are predicted individ…

eess.SY2024

On the continuity and smoothness of the value function in reinforcement learning and optimal control

Hans Harder, Sebastian Peitz

The value function plays a crucial role as a measure for the cumulative future reward an agent receives in both reinforcement learning and optimal control. It is therefore of inter…