Sepp Hochreiter
Univ.-Prof. Dr. rer. nat.Full Member of the Division of Mathematics and Natural Sciences since 2026
- Institutsvorstand Institut für Machine Learning, JKU Linz
- Institutsvorstand LIT Artificial Intelligence Lab, JKU Linz
- Institutsvorstand ELLIS Unit Linz
Orcid-ID:
0000-0001-7449-2528
Research Areas:
- Computer Sciences
- Artificial intelligence
- Machine learning
Profile:
Publications:
Selected Memberships:
- ELLIS Sociecy (European Lab for Leaming and lntelligence Systems)
- Leopoldina (Nationale Akademie der Wissenschaften)
- ACM (Association for Computing Machinery)
- Österreichische Computer Gesellschaft (OCG)
Selected Prizes:
- 2025: Wilhelm Exner Medaille
- 2024: INNS Award Hermann von Helmholtz Award
- 2023: German Kl-Innovation Award of the "Welt"
- 2022: Austrian Innovation Award
- 2012: Digitalos (Digital Pioneer Award)
Selected Publications:
- Hochreiter, S., & Schmidhuber, J. (1997). Long shortterm memory. Neural computation, 9, 1735-1780.
- Heusel, M., Ramsauer, H., Unterthlner, T., Nessler, B., &Hochreiter, S. (2017). GANs trained by a two time-scale update rule converge to a local Nash equilibrium. Advances in Neural Information Processing Systems, 30.
- Hochreiter, S. (1998). The vanishing gradient problem during leaming recurrent neural nets and problem solutions. Internat. J. Uncertain. Fuzziness Knowledge- Based Sys-tems, 6, 107-116.
- Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter: xLSTM: Extended Long Short-Term Memory.
- Auer, A; Podest, P.; Klotz, D.; Böck, S.; Klambauer, G.; Hochreiter, S. (2025): TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning.