Markus Holzleitner

Overcoming Saturation in Density Ratio Estimation by Iterated Regularization

Gruber, L., Holzleitner, M., Lehner, J., Hochreiter, S. & Zellinger, W., 2024, International Conference on Machine Learning (ICML 2024). 28 p. (arXiv.org).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

SymbolicAI: A framework for logic-based approaches combining generative models and solvers

Dinu, M.-C., Leoveanu-Condrei, C., Holzleitner, M., Zellinger, W. & Hochreiter, S., 2024, 39 p. (arXiv.org).

Research output: Working paper and reports › Preprint

Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators

Alkin, B., Fürst, A., Schmid, S., Gruber, L., Holzleitner, M. & Brandstetter, J., 2024, Conference Neural Information Processing Systems Foundation (NeurIPS 2024). 37 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation

Dinu, M.-C., Holzleitner, M., Beck, M., Nguyen, H. D., Huber, A., Eghbal-Zadeh, H., Moser, B., Pereverzev, S., Hochreiter, S. & Zellinger, W., 2023, International Conference On Learning Representations (ICLR) 2023. 51 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Few-Shot Learning by Dimensionality Reduction in Gradient Space

Gauch, M., Beck, M., Adler, T., Kotsur, D., Fiel, S., Eghbal-Zadeh, H., Brandstetter, J., Kofler, J., Holzleitner, M., Zellinger, W., Klotz, D., Hochreiter, S. & Lehner, S., 2022, Proceedings of Conference on Lifelong Learning Agents (CoLLAs) 2022. 23 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review