Learning to design RNA F Runge, D Stoll, S Falkner, F Hutter arXiv preprint arXiv:1812.11951, 2018 | 83 | 2018 |
Probabilistic transformer: Modelling ambiguities and distributions for rna folding and molecule design J Franke, F Runge, F Hutter Advances in Neural Information Processing Systems 35, 26856-26873, 2022 | 9 | 2022 |
Scalable deep learning for RNA secondary structure prediction JKH Franke, F Runge, F Hutter arXiv preprint arXiv:2307.10073, 2023 | 6 | 2023 |
Rnabench: A comprehensive library for in silico rna modelling F Runge, K Farid, JKH Franke, F Hutter bioRxiv, 2024.01. 09.574794, 2024 | 4 | 2024 |
Partial RNA Design F Runge, JKH Franke, D Fertmann, R Backofen, F Hutter bioRxiv, 2023.12. 29.573656, 2023 | 2 | 2023 |
RNAformer: A Simple Yet Effective Deep Learning Model for RNA Secondary Structure Prediction JKH Franke, F Runge, R Koeksal, R Backofen, F Hutter bioRxiv, 2024.02. 12.579881, 2024 | 1 | 2024 |
Rethinking performance measures of rna secondary structure problems F Runge, JKH Franke, D Fertmann, F Hutter arXiv preprint arXiv:2401.05351, 2023 | 1 | 2023 |
Towards Generative RNA Design With Tertiary Interactions S Patil, F Runge, JKH Franke, F Hutter bioRxiv, 2024.03. 09.584209, 2024 | | 2024 |
Towards Automated Design of Riboswitches F Runge, JKH Franke, F Hutter arXiv preprint arXiv:2307.08801, 2023 | | 2023 |
Method and device for ascertaining an rna sequence R Backofen, F Hutter, F Runge US Patent App. 17/354,992, 2022 | | 2022 |
RNA-Protein Interaction Classification via Sequence Embeddings D Matus, F Runge, JKH Franke, L Gerne, M Uhl, F Hutter, R Backofen ICLR 2024 Workshop on Generative and Experimental Perspectives for …, 0 | | |
RNA-Protein Interaction Prediction via Sequence Embeddings D Matus, F Runge, JKH Franke, L Gerne, M Uhl, F Hutter, R Backofen, ... | | |