Research output per year
Research output per year
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LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
Sestak, F., Toshev, A. P., Fürst, A., Klambauer, G., Mayr, A. & Brandstetter, J., 17 Feb 2025, 41 p.Research output: Working paper and reports › Preprint
Open Access -
Towards scientific machine learning for granular material simulations - challenges and opportunities
Fransen, M., Fürst, A., Tunuguntla, D., Wilke, D. N., Alkin, B., Barreto, D., Brandstetter, J., Cabrera, M. A., Fan, X., Guo, M., Kieskamp, B., Kumar, K., Morrissey, J., Nuttall, J., Ooi, J., Orozco, L., Papanicolopulos, S.-A., Qu, T., Schott, D. & Shuku, T. & 4 others, , 01 Apr 2025, 35 p.Research output: Working paper and reports › Preprint
Open Access -
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
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Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Lehner, J., Alkin, B., Fürst, A., Rumetshofer, E., Miklautz, L. & Hochreiter, S., 2023, 25 p. (arXiv.org).Research output: Working paper and reports › Preprint
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Multi-modal Contrastive Learning with CLOOB
Fürst, A., Rumetshofer, E., Lehner, J., Tran, V. T., Tang, F., Ramsauer, H., Kreil, D., Kopp, M., Klambauer, G., Bitto-Nemling, A. & Hochreiter, S., 2022, International Conference on Machine Learning (ICML 2022), 3rd Women in Machine Learning Un-Workshop. 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review