Takip et
Philipp Seidl
Philipp Seidl
Institute for Machine Learning, Johannes Kepler University Linz
ml.jku.at üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
6022020
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
113*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
632020
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
572023
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
372023
Re-evaluating retrosynthesis algorithms with syntheseus
K Maziarz, A Tripp, G Liu, M Stanley, S Xie, P Gaiński, P Seidl, ...
Faraday Discussions 256, 568-586, 2025
212025
Hopfield networks is all you need. CoRR abs/2008.02217 (2020)
H Ramsauer, B Schäfl, J Lehner, P Seidl, M Widrich, L Gruber, ...
142008
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
82024
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
72023
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
72022
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
72004
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
N Schmidinger, L Schneckenreiter, P Seidl, J Schimunek, PJ Hoedt, ...
arXiv preprint arXiv:2411.04165, 2024
12024
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
12024
Machine learning prediction of unexpected readmission or death after discharge from intensive care: A retrospective cohort study
T Tschoellitsch, A Maletzky, P Moser, P Seidl, C Böck, TT Mahečić, ...
Journal of clinical anesthesia 99, 111654, 2024
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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Makaleler 1–17