Johanna Sommer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Top Venues

SIGMOD Conference

Publications

Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann
Expressivity and Generalization: Fragment-Biases for Molecular GNNs. CoRR (2024)
Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer, Tom Wollschläger, Stephan Günnemann
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space. CoRR (2024)
Johanna Sommer, Leon Hetzel, David Lüdke, Fabian J. Theis, Stephan Günnemann
The power of motifs as inductive bias for learning molecular distributions. CoRR (2023)
Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J. Theis, Stephan Günnemann
MAGNet: Motif-Agnostic Generation of Molecules from Shapes. CoRR (2023)
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. ICLR (2022)
Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
Neural Flows: Efficient Alternative to Neural ODEs. NeurIPS (2021)
Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
Neural Flows: Efficient Alternative to Neural ODEs. CoRR (2021)
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. CoRR (2021)
Johanna Sommer, Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald, Peter J. Haas
MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions. SIGMOD Conference (2019)
Johanna Sommer, Dimitrios Sarigiannis, Thomas P. Parnell
Learning to Tune XGBoost with XGBoost. CoRR (2019)