Philipp Seidl

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	All	Since 2019
Citations	653	648
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i10-index	5	5

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Sepp HochreiterInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
Günter KlambauerAssoc. Prof., LIT AI Lab & Institute for Machine Learning, Johannes Kepler UniversityVerified email at bioinf.jku.at
Johannes LehnerJKU LinzVerified email at ml.jku.at
Bernhard SchäflResearch Scientist, University of Natural Resources and Life Sciences, Vienna (BOKU)Verified email at ml.jku.at
Michael WidrichMachine Learning Scientist @ FreenomeVerified email at freenome.com
Philipp RenzJKU LinzVerified email at ml.jku.at
Johannes BrandstetterJohannes Kepler University (JKU) LinzVerified email at ml.jku.at
Hubert RamsauerResearch Assistant at Institute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
Marwin SeglerMicrosoft Research AI4ScienceVerified email at microsoft.com
Johannes SchimunekJohannes Kepler University Linz - ELLIS Unit at the LIT AI LabVerified email at ml.jku.at
Jörg Kurt WegnerAssociate Scientific Director, Team Lead AI Design Team, Janssen R&D, Cambridge, MA, USVerified email at its.jnj.com
Andreu VallPumas-AIVerified email at pumas.ai
Elisabeth RumetshoferInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
Markus HofmarcherInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
Andreas MayrInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at

Philipp Seidl

Institute for Machine Learning, Johannes Kepler University Linz

Verified email at ml.jku.at

machine learning drug design cheminformatics


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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	431	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	92*	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	59	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	31	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	21	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
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	3	2023
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	2	2024
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	2	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

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