Active learning of convex halfspaces on graphs M Thiessen, T Gärtner Advances in Neural Information Processing Systems 34, 23413-23425, 2021 | 20 | 2021 |
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 | 9 | 2022 |
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 | 7 | 2021 |
Expressivity-preserving GNN simulation F Jogl, M Thiessen, T Gärtner Advances in Neural Information Processing Systems 36, 2023 | 5 | 2023 |
Online learning of convex sets on graphs M Thiessen, T Gärtner Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 5 | 2022 |
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 | 4 | 2023 |
Active Learning on Graphs with Geodesically Convex Classes M Thiessen, T Gärtner Mining and Learning with Graphs (MLG), 2020 | 4 | 2020 |
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 | 3 | 2023 |
Weisfeiler and Leman return with graph transformations F Jogl, M Thiessen, T Gärtner 18th International Workshop on Mining and Learning with Graphs, 2022 | 3 | 2022 |
Expectation Complete Graph Representations using Graph Homomorphisms P Welke, M Thiessen, T Gärtner Learning on Graphs Conference, 2022 | 3 | 2022 |
Reducing learning on cell complexes to graphs F Jogl, M Thiessen, T Gärtner ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022 | 2 | 2022 |
Efficient algorithms for learning monophonic halfspaces in graphs M Bressan, E Esposito, M Thiessen arXiv preprint arXiv:2405.00853, 2024 | 1 | 2024 |
Expectation complete graph representations using graph homomorphisms M Thiessen, P Welke, T Gärtner NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022 | 1 | 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 | 1 | 2020 |
A Theory of Interpretable Approximations M Bressan, N Cesa-Bianchi, E Esposito, Y Mansour, S Moran, M Thiessen arXiv preprint arXiv:2406.10529, 2024 | | 2024 |
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 | | 2024 |
Extending Graph Neural Networks with Global Features AD Brasoveanu, F Jogl, P Welke, M Thiessen The Second Learning on Graphs Conference, 2023 | | 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 | | 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 | | 2020 |