Martin Ritzert

According to our database, Martin Ritzert authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Boosting, Voting Classifiers and Randomized Sample Compression Schemes.

Arthur da Cunha, Kasper Green Larsen, Martin Ritzert

CoRR, 2024

2023

Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark.

Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe

CoRR, 2023

AdaBoost is not an Optimal Weak to Strong Learner.

Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert

Proceedings of the International Conference on Machine Learning, 2023

2022

Graph Machine Learning for Design of High-Octane Fuels.

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Stefanie Winkler, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, Martin Grohe, Alexander Mitsos, Manuel Dahmen

CoRR, 2022

On the Parameterized Complexity of Learning First-Order Logic.

Steffen van Bergerem, Martin Grohe, Martin Ritzert

Proceedings of the PODS '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Optimal Weak to Strong Learning.

Kasper Green Larsen, Martin Ritzert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning on graphs with logic and neural networks.

Martin Ritzert

PhD thesis, 2021

On the Parameterized Complexity of Learning Logic.

Steffen van Bergerem, Martin Grohe, Martin Ritzert

CoRR, 2021

Graph Learning with 1D Convolutions on Random Walks.

Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

CoRR, 2021

The Effects of Randomness on the Stability of Node Embeddings.

Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Martin Grohe, Markus Strohmaier

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Graph Neural Networks for Maximum Constraint Satisfaction.

Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

Frontiers Artif. Intell., 2020

The Effects of Randomness on the Stability of Node Embeddings.

Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Jan Bachmann, Florian Frantzen, Max Klabunde, Martin Grohe, Markus Strohmaier

CoRR, 2020

2019

RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems.

Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

CoRR, 2019

Learning Definable Hypotheses on Trees.

Émilie Grienenberger, Martin Ritzert

Proceedings of the 22nd International Conference on Database Theory, 2019

Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks.

Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Learning MSO-definable hypotheses on string.

Martin Grohe, Christof Löding, Martin Ritzert

CoRR, 2017

Learning first-order definable concepts over structures of small degree.

Martin Grohe, Martin Ritzert

Proceedings of the 32nd Annual ACM/IEEE Symposium on Logic in Computer Science, 2017

Learning MSO-definable hypotheses on strings.

Martin Grohe, Christof Löding, Martin Ritzert

Proceedings of the International Conference on Algorithmic Learning Theory, 2017