| MC-LSTM: Mass-Conserving LSTM PJ Hoedt, F Kratzert, D Klotz, C Halmich, M Holzleitner, G Nearing, ... Proceedings of the 38th International Conference on Machine Learning 139 …, 2021 | 66 | 2021 |
| A deep learning architecture for conservative dynamical systems: Application to rainfall-runoff modeling G Nearing, F Kratzert, D Klotz, PJ Hoedt, G Klambauer, S Hochreiter, ... AI for Earth Sciences Workshop at NeurIPS, 2020 | 11 | 2020 |
| MC-LSTM: Mass-Conserving LSTM, arXiv PJ Hoedt, F Kratzert, D Klotz, C Halmich, M Holzleitner, G Nearing, ... arXiv preprint arXiv:2101.05186 10, 2021 | 6 | 2021 |
| Using LSTMs for climate change assessment studies on droughts and floods F Kratzert, D Klotz, J Brandstetter, PJ Hoedt, G Nearing, S Hochreiter arXiv preprint arXiv:1911.03941, 2019 | 5 | 2019 |
| Robust task-specific adaption of models for drug-target interaction prediction E Svensson, PJ Hoedt, S Hochreiter, G Klambauer NeurIPS 2022 AI for Science: Progress and Promises, 2022 | 4 | 2022 |
| Normalization is dead, Long live normalization! PJ Hoedt, S Hochreiter, G Klambauer ICLR Blog Track 1, 2022 | 3 | 2022 |
| Principled Weight Initialisation for Input-Convex Neural Networks PJ Hoedt, G Klambauer Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| HyperPCM: Robust Task-Conditioned Modeling of Drug–Target Interactions E Svensson, PJ Hoedt, S Hochreiter, G Klambauer Journal of Chemical Information and Modeling, 2024 | 2 | 2024 |
| Characterising activation functions by their backward dynamics around forward fixed points PJ Hoedt, H Sepp, G Klambauer https://ml-critique-correct.github.io/, 2018 | 2 | 2018 |
| Parallelizing with MPI in Java to Find the ninth Dedekind Number PJ Hoedt KU Leuven, 2015 | 2* | 2015 |
| Task-conditioned modeling of drug-target interactions E Svensson, PJ Hoedt, S Hochreiter, G Klambauer | 1 | |
| On Signal Propagation in Neural Networks/submitted by Pieter-Jan Hoedt PJ Hoedt | | 2024 |
| Moment Dynamics in Self-Normalising Neural Networks PJ Hoedt Johannes Kepler University Linz, 2017 | | 2017 |
Sepp HochreiterInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
