| PredictProtein-predicting protein structure and function for 29 years M Bernhofer, C Dallago, T Karl, V Satagopam, M Heinzinger, M Littmann, ... Nucleic acids research 49 (W1), W535-W540, 2021 | 169 | 2021 |
| Embeddings from deep learning transfer GO annotations beyond homology M Littmann, M Heinzinger, C Dallago, T Olenyi, B Rost Scientific reports 11 (1), 1160, 2021 | 109 | 2021 |
| Embeddings from protein language models predict conservation and variant effects C Marquet, M Heinzinger, T Olenyi, C Dallago, K Erckert, M Bernhofer, ... Human genetics 141 (10), 1629-1647, 2022 | 79 | 2022 |
| Learned embeddings from deep learning to visualize and predict protein sets C Dallago, K Schütze, M Heinzinger, T Olenyi, M Littmann, AX Lu, ... Current Protocols 1 (5), e113, 2021 | 70 | 2021 |
| LambdaPP: Fast and accessible protein‐specific phenotype predictions T Olenyi, C Marquet, M Heinzinger, B Kröger, T Nikolova, M Bernhofer, ... Protein Science 32 (1), e4524, 2023 | 7 | 2023 |
| VoiLA: An online intelligent speech analysis and collection platform S Hantke, T Olenyi, C Hausner, B Schuller 2018 First Asian Conference on Affective Computing and Intelligent …, 2018 | 6 | 2018 |
| Large-scale data collection and analysis via a gamified intelligent crowdsourcing platform S Hantke, T Olenyi, C Hausner, T Appel, B Schuller International Journal of Automation and Computing 16 (4), 427-436, 2019 | 2 | 2019 |
| Refining Embedding-Based Binding Predictions by Leveraging AlphaFold2 Structures L Endres, T Olenyi, K Erckert, K Weißenow, B Rost, M Littmann bioRxiv, 2022.08. 31.505997, 2022 | 1 | 2022 |
| Embeddings from protein language models predict conservation and variant effects (preprint) C Marquet, M Heinzinger, T Olenyi, C Dallago, M Bernhofer, K Erckert, ... | | 2021 |
