Johanna Sommer

18 papers A* 6Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space. ICLR Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer, Tom Wollschläger, Stephan Günnemann
2025	A*	`conf`	MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds. ICLR Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J. Theis, Stephan Günnemann
2025	J	`jnl`	OneProt: Towards multi-modal protein foundation models via latent space alignment of sequence, structure, binding sites and text encoders. PLoS Comput. Biol. Klemens Flöge, Srisruthi Udayakumar, Johanna Sommer, Marie Piraud, Stefan Kesselheim, Vincent Fortuin, Stephan Günnemann, Karel J. van der Weg, Holger Gohlke, Erinc Merdivan, Alina Bazarova
2025	J	`jnl`	Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation. CoRR Johanna Sommer, John Rachwan, Nils Fleischmann, Stephan Günnemann, Bertrand Charpentier
2025	J	`jnl`	Unified Guidance for Geometry-Conditioned Molecular Generation. CoRR Sirine Ayadi, Leon Hetzel, Johanna Sommer, Fabian J. Theis, Stephan Günnemann
2024	A*	`conf`	Expressivity and Generalization: Fragment-Biases for Molecular GNNs. ICML Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann
2024	J	`jnl`	Expressivity and Generalization: Fragment-Biases for Molecular GNNs. CoRR Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann
2024	J	`jnl`	Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space. CoRR Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer, Tom Wollschläger, Stephan Günnemann
2024	J	`jnl`	OneProt: Towards Multi-Modal Protein Foundation Models. CoRR Klemens Flöge, Srisruthi Udayakumar, Johanna Sommer, Marie Piraud, Stefan Kesselheim, Vincent Fortuin, Stephan Günnemann, Karel J. van der Weg, Holger Gohlke, Alina Bazarova, Erinc Merdivan
2024	A*	`conf`	Unified Guidance for Geometry-Conditioned Molecular Generation. NeurIPS Sirine Ayadi, Leon Hetzel, Johanna Sommer, Fabian J. Theis, Stephan Günnemann
2023	J	`jnl`	MAGNet: Motif-Agnostic Generation of Molecules from Shapes. CoRR Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J. Theis, Stephan Günnemann
2023	J	`jnl`	The power of motifs as inductive bias for learning molecular distributions. CoRR Johanna Sommer, Leon Hetzel, David Lüdke, Fabian J. Theis, Stephan Günnemann
2022	A*	`conf`	Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. ICLR Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2021	J	`jnl`	Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. CoRR Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2021	A*	`conf`	Neural Flows: Efficient Alternative to Neural ODEs. NeurIPS Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
2021	J	`jnl`	Neural Flows: Efficient Alternative to Neural ODEs. CoRR Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
2019	J	`jnl`	Learning to Tune XGBoost with XGBoost. CoRR Johanna Sommer, Dimitrios Sarigiannis, Thomas P. Parnell
2019	—	`conf`	MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions. SIGMOD Conference Johanna Sommer, Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald, Peter J. Haas