Hopfield networks is all you need H Ramsauer, B Schäfl, J Lehner, P Seidl, M Widrich, T Adler, L Gruber, ... arXiv preprint arXiv:2008.02217, 2020 | 468 | 2020 |
Improving few-and zero-shot reaction template prediction using modern hopfield networks P Seidl, P Renz, N Dyubankova, P Neves, J Verhoeven, JK Wegner, ... Journal of chemical information and modeling 62 (9), 2111-2120, 2022 | 97* | 2022 |
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks M Hofmarcher, A Mayr, E Rumetshofer, P Ruch, P Renz, J Schimunek, ... arXiv preprint arXiv:2004.00979, 2020 | 60 | 2020 |
Enhancing activity prediction models in drug discovery with the ability to understand human language P Seidl, A Vall, S Hochreiter, G Klambauer International Conference on Machine Learning, 30458-30490, 2023 | 36 | 2023 |
Context-enriched molecule representations improve few-shot drug discovery J Schimunek, P Seidl, L Friedrich, D Kuhn, F Rippmann, S Hochreiter, ... arXiv preprint arXiv:2305.09481, 2023 | 27 | 2023 |
Re-evaluating Retrosynthesis algorithms with syntheseus K Maziarz, A Tripp, G Liu, M Stanley, S Xie, P Gaiński, P Seidl, M Segler arXiv preprint arXiv:2310.19796, 2023 | 7 | 2023 |
Supervised machine learning classification for short straddles on the S&P500 A Brunhuemer, L Larcher, P Seidl, S Desmettre, J Kofler, G Larcher Risks 10 (12), 235, 2022 | 6 | 2022 |
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. 2020 M Hofmarcher, A Mayr, E Rumetshofer, P Ruch, P Renz, J Schimunek, ... DOI: https://doi. org/10.2139/ssrn 3561442, 2004 | 5 | 2004 |
A community effort in SARS‐CoV‐2 drug discovery J Schimunek, P Seidl, K Elez, T Hempel, T Le, F Noé, S Olsson, L Raich, ... Molecular Informatics 43 (1), e202300262, 2024 | 4 | 2024 |
Using emergency department triage for machine learning-based admission and mortality prediction T Tschoellitsch, P Seidl, C Böck, A Maletzky, P Moser, S Thumfart, ... European journal of emergency medicine: official journal of the European …, 2023 | 4 | 2023 |
Potential predictors for deterioration of renal function after transfusion T Tschoellitsch, P Moser, A Maletzky, P Seidl, C Böck, T Roland, ... Anesthesia & Analgesia 138 (3), 645-654, 2024 | 1 | 2024 |
Multimodal Contrastive Learning for Drug Discovery P Seidl Institute for Machine Learning, 2024 | | 2024 |
Mitigating Model Bias with the BERT Transformer Architecture for the Detection of Toxic Comments P Seidl Institute for Machine Learning, 2019 | | 2019 |
Cortical Fatigue in Stroke Patients P Seidl Department of Medical Engineering, 2017 | | 2017 |