Johanna Sommer

According to our database, Johanna Sommer authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space.

Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer, Tom Wollschläger, Stephan Günnemann

CoRR, 2024

Expressivity and Generalization: Fragment-Biases for Molecular GNNs.

Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The power of motifs as inductive bias for learning molecular distributions.

Johanna Sommer, Leon Hetzel, David Lüdke, Fabian J. Theis, Stephan Günnemann

CoRR, 2023

MAGNet: Motif-Agnostic Generation of Molecules from Shapes.

Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J. Theis, Stephan Günnemann

CoRR, 2023

2022

Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness.

Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Neural Flows: Efficient Alternative to Neural ODEs.

Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Learning to Tune XGBoost with XGBoost.

Johanna Sommer, Dimitrios Sarigiannis, Thomas P. Parnell

CoRR, 2019

MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions.

Johanna Sommer, Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald, Peter J. Haas

Proceedings of the 2019 International Conference on Management of Data, 2019