
PhD Defense
Niklas Strauß
On the 20th December 2024, Niklas Strauss successfully defended his PHD-Thesis "Artificial Intelligence for Resource Allocation Tasks".
Congratulations Niklas!!!

PhD Defense
Maximilian Bernhard
On the 9th December 2024, Maximilian Bernhard successfully defended his PHD-Thesis "Deep Learning Methods for Image Recognition in Remote Sensing".
Congratulations Maxi!!!
Paper accepted at NeuRIPS 2024
The paper "Autoregressive Policy Optimization for Constrained Allocation Tasks"
by David Winkel, Niklas Alexander Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, and Matthias Schubert
has been accepted at the 38th Annual Conference on Neural Information Processing Systems,
(NeuRIPS 24), 2024,
Vancouver, BC, CA
Paper accepted at ECAI 2024
The paper "Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images"
by Maximilian Bernhard, Niklas Strauß, Tanveer Hannan and Matthias Schubert
has been accepted at the 27th European Conference on Artificial Intelligence
(ECAI 24), 19.10–24.10 2024,
Santiago de Compostela, Spain
Paper accepted at SDM 2024
The paper "Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem"
by Niklas Strauß and Matthias Schubert
has been accepted at the SIAM International Conference on Data Mining
(SDM 24), 18.04–20.20 2024,
Houston, TX, U.S.
Paper accepted at WACV 2024
The paper "What’s Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU"
by Maximilian Bernhard, Yannic Kindermann, Roberto Amoroso, Matthias Schubert, Lorenzo Baraldi, Rita Cucchiara and Volker Tresp
has been accepted at the IEEE/CVF Winter Conference on Applications of Computer Vision
(WACV 24), 4.01–08.01 2024,
Waikoloa, Hawaii
Paper accepted at ECAI 2023
The paper "Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning"
by David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl
has been accepted at the 26th European Conference on Artificial Intelligence
(Ecai 2023), 30.09–05.10 2023,
Kraków, Poland
Paper accepted at ICCV 2023
The paper "MapFormer: Boosting Change Detection by Using Pre-change Information" "
by Maximilian Bernhard, Niklas Strauss, Matthias Schubert
has been accepted at the IEEE/CVF International Conference on Computer Vision (ICCV 23), 2-5 October 2023, Paris, France
about AI-Beyond
AI-beyond strives to advance modern AI technology to enable automated systems to make rational decisions and optimize their behaviour. Our research is centered around spatial applications like analysing and acquiring sensor data. We optimize mobility tasks with respect to various optimization criteria. As members of the Abby-Net research network, we lay a particular focus on sustainability and actively explore the connection point between modern AI, sustainable mobility, and energy solutions. Thus, we actively support projects monitoring environmental change.
Current Members
PhD student working on computer vision and remote sensing.
PhD student working on reinforcement learning for flight route planing.
PhD student working on recommendation systems and meta reinforcement learning.
PhD student working on spatial analytics and planning methods based on sensor data.
PhD student working on multispectral remote sensing data.
(co-supervized with Prof. Ralf Ludwig (geography))
PhD student working on reinforcement learning and sequential planning in mobility applications.
PhD student working onreinforcement learning in financial applications.
(co-supervized with Prof. Thomas Seidl)
Former group members/Supervised PhD thesis
former Phd student
Phd thesis: "Representation learning on relational data"
former Phd student
Phd thesis: "Learning from complex Networks"
postdoctoral researcher within MCML
former Phd student
Phd thesis: "Navigation with uncertain Spatio-Temporal Resources"
former Phd student
Phd thesis: "Query processing in complex modern traffic networks"