Research output per year
Research output per year
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Rethinking Losses for Diffusion Bridge Samplers
Sanokowski, S., Gruber, L., Bartmann, C., Hochreiter, S. & Lehner, S., 12 Jun 2025, 21 p. (arXiv.org; no. 2506.10982).Research output: Working paper and reports › Preprint
Open Access -
Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
Sanokowski, S., Berghammer, W., Ennemoser, M., Wang, H. P., Hochreiter, S. & Lehner, S., 12 Feb 2025.Research output: Working paper and reports › Preprint
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xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
Beck, M., Schweighofer, K., Böck, S., Lehner, S. & Hochreiter, S., 02 Oct 2025, 38 p. (arXiv.org; no. 2510.02228).Research output: Working paper and reports › Preprint
Open Access -
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Sanokowski, S., Hochreiter, S. & Lehner, S., 2024, International Conference on Machine Learning (ICML 2024). 22 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Boundary Graph Neural Networks for 3D Simulations
Mayr, A., Lehner, S., Mayrhofer, A., Kloss, C., Hochreiter, S. & Brandstetter, J., 27 Jun 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. Williams, B., Chen, Y. & Neville, J. (eds.). p. 9099-9107 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
Open Access