Maximilian Thiessen

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Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
Fabian JoglPhD Student, TU WienVerified email at tuwien.ac.at
Pascal WelkeTU WienVerified email at tuwien.ac.at
Marco BressanAssistant Professor of Computer Science, University of MilanVerified email at unimi.it
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoVerified email at unimi.it
Sohir MaskeyPhD Student, LMU Munich: Department of MathematicsVerified email at math.lmu.de
Haggai MaronAssistant Professor at the Technion, Research Scientist at NVIDIA ResearchVerified email at technion.ac.il
Ylli SadikajPh.D. Candidate, University of ViennaVerified email at univie.ac.at
Ali ParvizNJIT, MilaVerified email at njit.edu
Silvio LattanziResearch Scientist at GoogleVerified email at google.com
Andrea PaudiceAssistant Professor (Tenure Track) at Aarhus UniversityVerified email at cs.au.dk
Emmanuel EspositoPhD Candidate, Università degli Studi di Milano and Istituto Italiano di TecnologiaVerified email at unimi.it
Franka BauseUniversity of ViennaVerified email at univie.ac.at
Nils M. KriegeUniversity of ViennaVerified email at univie.ac.at
Tamara DrucksPhD student, TU WienVerified email at tuwien.ac.at
David PenzPhD Student, TU Wien and JKU LinzVerified email at outlook.at
Patrick IndriPhD studentVerified email at tuwien.ac.at
Luis QuesadaInsight Centre for Data Analytics, School of Computer Science & IT, University College CorkVerified email at insight-centre.org
Mark HerbsterUniversity College LondonVerified email at cs.ucl.ac.uk
Shota SaitoUCLVerified email at cs.ucl.ac.uk

Maximilian Thiessen

PhD student, TU Wien

Verified email at tuwien.ac.at - Homepage

Machine Learning Learning Theory Active Learning Graph Theory


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Active learning of convex halfspaces on graphs M Thiessen, T Gärtner Advances in Neural Information Processing Systems 34, 23413-23425, 2021	24	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	9	2021
Expressivity-preserving GNN simulation F Jogl, M Thiessen, T Gärtner Advances in Neural Information Processing Systems 36, 2023	7	2023
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	6	2023
Online learning of convex sets on graphs M Thiessen, T Gärtner Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022	6	2022
Weisfeiler and Leman return with graph transformations F Jogl, M Thiessen, T Gärtner 18th International Workshop on Mining and Learning with Graphs, 2022	5	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	4	2023
Active Learning on Graphs with Geodesically Convex Classes M Thiessen, T Gärtner Mining and Learning with Graphs (MLG), 2020	4	2020
Reducing learning on cell complexes to graphs F Jogl, M Thiessen, T Gärtner ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022	3	2022
Expectation Complete Graph Representations using Graph Homomorphisms P Welke, M Thiessen, T Gärtner Learning on Graphs Conference, 2022	3	2022
Efficient algorithms for learning monophonic halfspaces in graphs M Bressan, E Esposito, M Thiessen arXiv preprint arXiv:2405.00853, 2024	2	2024
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	2	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	2	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	1	2024
Extending Graph Neural Networks with Global Features AD Brasoveanu, F Jogl, P Welke, M Thiessen The Second Learning on Graphs Conference, 2023	1	2023
Expectation complete graph representations using graph homomorphisms M Thiessen, P Welke, T Gärtner NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022	1	2022
Self-Directed Learning of Convex Labelings on Graphs G Sokolov, M Thiessen, M Akhmejanova, F Vitale, F Orabona arXiv preprint arXiv:2409.01428, 2024		2024
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
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

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