Maximilian Thiessen
Maximilian Thiessen
PhD student, TU Wien
Verified email at - Homepage
Cited by
Cited by
Active learning of convex halfspaces on graphs
M Thiessen, T Gärtner
Advances in Neural Information Processing Systems 34, 23413-23425, 2021
Propensity-score-matched comparison of safety, efficacy, and outcome of intravascular lithotripsy versus high-pressure PTCA in coronary calcified lesions
A Aksoy, V Tiyerili, N Jansen, M Al Zaidi, M Thiessen, A Sedaghat, ...
IJC Heart & Vasculature 37, 100900, 2021
Expectation-Complete Graph Representations with Homomorphisms
P Welke, M Thiessen, F Jogl, T Gärtner
Proceedings of the 40th International Conference on Machine Learning (ICML …, 2023
Generalized laplacian positional encoding for graph representation learning
S Maskey, A Parviz, M Thiessen, H Stärk, Y Sadikaj, H Maron
arXiv preprint arXiv:2210.15956, 2022
Online learning of convex sets on graphs
M Thiessen, T Gärtner
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
Active Learning on Graphs with Geodesically Convex Classes
M Thiessen, T Gärtner
Mining and Learning with Graphs (MLG), 2020
Expressivity-preserving GNN simulation
F Jogl, M Thiessen, T Gärtner
Advances in Neural Information Processing Systems 36, 2023
Weisfeiler and Leman return with graph transformations
F Jogl, M Thiessen, T Gärtner
18th International Workshop on Mining and Learning with Graphs, 2022
Expectation Complete Graph Representations using Graph Homomorphisms
P Welke, M Thiessen, T Gärtner
Learning on Graphs Conference, 2022
Maximally expressive GNNs for outerplanar graphs
F Bause, F Jogl, P Indri, T Drucks, D Penz, N Kriege, T Gärtner, P Welke, ...
NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023
Reducing learning on cell complexes to graphs
F Jogl, M Thiessen, T Gärtner
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022
Expectation complete graph representations using graph homomorphisms
M Thiessen, P Welke, T Gärtner
NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022
Improving a Branch-and-Bound Approach for the Degree-Constrained Minimum Spanning Tree Problem with LKH
M Thiessen, L Quesada, KN Brown
International Conference on Integration of Constraint Programming …, 2020
Bandits with Abstention under Expert Advice
S Pasteris, A Rumi, M Thiessen, S Saito, A Miyauchi, F Vitale, M Herbster
arXiv preprint arXiv:2402.14585, 2024
Extending Graph Neural Networks with Global Features
AD Brasoveanu, F Jogl, P Welke, M Thiessen
The Second Learning on Graphs Conference, 2023
Active Learning of Classifiers with Label and Seed Queries
M Bressan, N Cesa-Bianchi, S Lattanzi, A Paudice, M Thiessen
Advances in Neural Information Processing Systems 35, 30911-30922, 2022
Efficient Reinforcement Learning via Self-supervised learning and Model-based methods
T Schmied, M Thiessen
Challenges of Real-World Reinforcement Learning NeurIPS 2020 Workshop, 2020
The system can't perform the operation now. Try again later.
Articles 1–17