Projects per year
Organisation profile
Organisation profile
The Institute for Machine Learning conducts internationally renowned research and provides profound education in machine learning. Its research focuses on development and application of machine learning and statistical methods.
Fields of science
- 101031 Approximation theory
- 102 Computer Sciences
- 305901 Computer-aided diagnosis and therapy
- 102033 Data mining
- 101029 Mathematical statistics
- 102032 Computational intelligence
- 101028 Mathematical modelling
- 102013 Human-computer interaction
- 305905 Medical informatics
- 101027 Dynamical systems
- 101004 Biomathematics
- 101026 Time series analysis
- 101024 Probability theory
- 202017 Embedded systems
- 102019 Machine learning
- 202037 Signal processing
- 305907 Medical statistics
- 102018 Artificial neural networks
- 103029 Statistical physics
- 202036 Sensor systems
- 202035 Robotics
- 106005 Bioinformatics
- 106007 Biostatistics
- 101019 Stochastics
- 101018 Statistics
- 101017 Game theory
- 101016 Optimisation
- 102001 Artificial intelligence
- 101015 Operations research
- 102004 Bioinformatics
- 101014 Numerical mathematics
- 102003 Image processing
JKU Focus areas
- Digital Transformation
-
DeepInsight 2025
Hochreiter, S. (Researcher)
11.06.2025 → 31.12.2025
Project: Contract research › Industry project
-
Fast, efficient and flexible CFD simulation through generative AI
Hochreiter, S. (Researcher) & Brandstetter, J. (Researcher)
01.04.2025 → 31.03.2026
Project: Funded research › FFG - Austrian Research Promotion Agency
-
AI prediction of PET positivity in CT scans (PET-KM-CTs)
Krivic, D. (Researcher), Stegemann, M. (PI), Lichtenauer, N. (Researcher), Fuchs, P. (Researcher), Fellner, F. (Researcher), Kronbichler, J. (Researcher), Gabriel, M. (Researcher) & Kobler, E. (Researcher)
01.04.2025 → 31.03.2029
Project: Clinical studies › Clinical Study (Academic - no third-party funds)
Research output
-
5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence
Galletti, G., Paischer, F., Setinek, P., Hornsby, W., Zanisi, L., Carey, N., Pamela, S. & Brandstetter, J., 11 Feb 2025, 13 p.Research output: Working paper and reports › Preprint
Open Access -
Ab-upt: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers: Deep Learning on High-Fidelity Automotive Aerodynamics Simulations
Alkin, B., Bleeker, M., Kurle, R., Kronlachner, T., Sonnleitner, R., Dorfer, M. & Brandstetter, J., 13 Feb 2025, 43 p. (arXiv.org; no. 2502.09692).Research output: Working paper and reports › Preprint
Open Access -
Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation
Ielanskyi, M., Schweighofer, K., Aichberger, L. & Hochreiter, S., Jul 2025, ICLR Workshop: Quantify Uncertainty and Hallucination in Foundation Models: The Next Frontier in Reliable AI. 24 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
Activities
-
Sustainable, Low-Energy, and Fast AI Made in Europe
Hochreiter, S. (Speaker)
04 Dec 2025Activity: Talk or presentation › Invited talk › science-to-science
-
Industrial Artificial Intelligence
Hochreiter, S. (Speaker)
19 Nov 2025Activity: Talk or presentation › Other talk or presentation › science-to-public
-
TiRex: Closing the Gap Between Recurrent and In-Context Learning
Hochreiter, S. (Speaker)
04 Nov 2025Activity: Talk or presentation › Other talk or presentation › science-to-science
Prizes
-
-
-
Best Paper Award, ML4Molecules Workshop 2024
Schmidinger, N. (Recipient), 06 Dec 2024
Prize: Prize, award or honor
Press/Media
-
Unscheinbar, aber unverzichtbar: Die stille Macht der Rechenzentren.
Prechtl, E., Mitterlechner, V., Kobler, E. & Winter-Ebmer, R.
13.08.2025
1 item of Media coverage
Press/Media