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Leon Hetzel
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2020 – today
- 2025
- [c5]Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J. Theis, Stephan Günnemann:
MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds. ICLR 2025 - [i8]Sirine Ayadi, Leon Hetzel, Johanna Sommer, Fabian J. Theis, Stephan Günnemann:
Unified Guidance for Geometry-Conditioned Molecular Generation. CoRR abs/2501.02526 (2025) - [i7]Diogo Soares, Leon Hetzel, Paulina Szymczak, Fabian J. Theis, Stephan Günnemann, Ewa Szczurek:
Targeted AMP generation through controlled diffusion with efficient embeddings. CoRR abs/2504.17247 (2025) - 2024
- [c4]Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann:
Expressivity and Generalization: Fragment-Biases for Molecular GNNs. ICML 2024 - [c3]Sirine Ayadi, Leon Hetzel, Johanna Sommer, Fabian J. Theis, Stephan Günnemann:
Unified Guidance for Geometry-Conditioned Molecular Generation. NeurIPS 2024 - [i6]Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann:
Expressivity and Generalization: Fragment-Biases for Molecular GNNs. CoRR abs/2406.08210 (2024) - 2023
- [i5]Leon Hetzel, Johanna Sommer, Bastian Rieck
, Fabian J. Theis, Stephan Günnemann:
MAGNet: Motif-Agnostic Generation of Molecules from Shapes. CoRR abs/2305.19303 (2023) - [i4]Johanna Sommer, Leon Hetzel, David Lüdke, Fabian J. Theis, Stephan Günnemann:
The power of motifs as inductive bias for learning molecular distributions. CoRR abs/2306.17246 (2023) - 2022
- [c2]Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis:
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution. NeurIPS 2022 - [i3]Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis:
Predicting single-cell perturbation responses for unseen drugs. CoRR abs/2204.13545 (2022) - [i2]Jan P. Engelmann
Uncertainty Quantification for Atlas-Level Cell Type Transfer. CoRR abs/2211.03793 (2022)
2010 – 2019
- 2019
- [c1]Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks. CVPR 2019: 9097-9107 - [i1]Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke:
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks. CoRR abs/1908.02686 (2019)
Coauthor Index
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