activity
20242026
collaborators

5 papers

eess.SY2026

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids

Josef Hoppe, Sarra Bouchkati, Farah Nasr +7

Increases in photovoltaic generation, charging of electric vehicles and heat-pump demand challenge operating limits in low-voltage distribution grids. This requires curative curtai…

cs.SI2025

Faster Inference of Cell Complexes from Flows via Matrix Factorization

Til Spreuer, Josef Hoppe, Michael T. Schaub

We consider the following inference problem: Given a set of edge-flow signals observed on a graph, lift the graph to a cell complex, such that the observed edge-flow signals can be…

eess.SP2025

Don't be Afraid of Cell Complexes! An Introduction from an Applied Perspective

Josef Hoppe, Vincent P. Grande, Michael T. Schaub

Cell complexes (CCs) are a higher-order network model deeply rooted in algebraic topology that has gained interest in signal processing and network science recently. The processing…

cs.SI2024

Topological Trajectory Classification and Landmark Inference on Simplicial Complexes

Vincent P. Grande, Josef Hoppe, Florian Frantzen +1

We consider the problem of classifying trajectories on a discrete or discretised 2-dimensional manifold modelled by a simplicial complex. Previous works have proposed to project th…

cs.DS2024

Random Abstract Cell Complexes

Josef Hoppe, Michael T. Schaub

We define a model for random (abstract) cell complexes (CCs), similiar to the well-known Erdős-Rényi model for graphs and its extensions for simplicial complexes. To build a random…