Martin Ritzert

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Unsupervised Learning

Message Passing

Parameterized Complexity

Top Venues

Trans. Mach. Learn. Res.

Publications

Arthur da Cunha, Kasper Green Larsen, Martin Ritzert
Boosting, Voting Classifiers and Randomized Sample Compression Schemes. CoRR (2024)
Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark. Trans. Mach. Learn. Res. 2024 (2024)
Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe
Distinguished In Uniform: Self-Attention Vs. Virtual Nodes. ICLR (2024)
Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe
Distinguished In Uniform: Self Attention Vs. Virtual Nodes. CoRR (2024)
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing. Trans. Mach. Learn. Res. 2023 (2023)
Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert
AdaBoost is not an Optimal Weak to Strong Learner. ICML (2023)
Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark. CoRR (2023)
Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert
AdaBoost is not an Optimal Weak to Strong Learner. CoRR (2023)
Kasper Green Larsen, Martin Ritzert
Optimal Weak to Strong Learning. CoRR (2022)
Kasper Green Larsen, Martin Ritzert
Optimal Weak to Strong Learning. NeurIPS (2022)
Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Stefanie Winkler, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, Martin Grohe, Alexander Mitsos, Manuel Dahmen
Graph Machine Learning for Design of High-Octane Fuels. CoRR (2022)
Steffen van Bergerem, Martin Grohe, Martin Ritzert
On the Parameterized Complexity of Learning First-Order Logic. PODS (2022)
Steffen van Bergerem, Martin Grohe, Martin Ritzert
On the Parameterized Complexity of Learning Logic. CoRR (2021)
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
Graph Learning with 1D Convolutions on Random Walks. CoRR (2021)
Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Martin Grohe, Markus Strohmaier
The Effects of Randomness on the Stability of Node Embeddings. PKDD/ECML Workshops (1) (2021)
Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Jan Bachmann, Florian Frantzen, Max Klabunde, Martin Grohe, Markus Strohmaier
The Effects of Randomness on the Stability of Node Embeddings. CoRR (2020)
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
Graph Neural Networks for Maximum Constraint Satisfaction. Frontiers Artif. Intell. 3 (2020)
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems. CoRR (2019)
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. AAAI (2019)
Émilie Grienenberger, Martin Ritzert
Learning definable hypotheses on trees. CoRR (2019)
Émilie Grienenberger, Martin Ritzert
Learning Definable Hypotheses on Trees. ICDT (2019)
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. CoRR (2018)
Martin Grohe, Martin Ritzert
Learning first-order definable concepts over structures of small degree. LICS (2017)
Martin Grohe, Martin Ritzert
Learning first-order definable concepts over structures of small degree. CoRR (2017)
Martin Grohe, Christof Löding, Martin Ritzert
Learning MSO-definable hypotheses on string. CoRR (2017)
Martin Grohe, Christof Löding, Martin Ritzert
Learning MSO-definable hypotheses on strings. ALT (2017)