Projects per year
Collaborations and top research areas from the last five years
Projects
- 1 Active
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EXDIGIT: Excellence in Digital Sciences and Interdisciplinary Technologies
Horejs-Höck, J. (Principal Investigator), Hüsing, N. (Principal Investigator), Tscheligi, M. (Co-Investigator), Bauer, C. (Co-Investigator), Demir, C. (Co-Investigator), Dong, Y. (Co-Investigator), Faria Costa, J. (Co-Investigator), Graf, F. (Co-Investigator), Grilnberger, M. (Co-Investigator), Hannibal, G. (Co-Investigator), Katzlberger, D. (Co-Investigator), Leschke, N. C. (Co-Investigator), Linortner, M. (Co-Investigator), Maislinger, L. (Co-Investigator), Mocnik, F.-B. (Co-Investigator), Pallas, F. (Co-Investigator), Unterberger, E. (Co-Investigator), Williams, M. C. (Co-Investigator), Zimmermann, G. (Co-Investigator), Carrozzo, A. E. (Co-Investigator), Mehran, N. (Co-Investigator) & Dabiri, Z. (Co-Investigator)
1/04/22 → 31/03/28
Project: Research
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Neural Persistence Dynamics
Zeng, S., Graf, F., Uray, M., Huber, S. & Kwitt, R., 24 May 2024.Research output: Working paper/Preprint › Preprint
Open Access -
Latent SDEs on Homogeneous Spaces
Zeng, S., Graf, F. & Kwitt, R., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
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On Measuring Excess Capacity in Neural Networks
Graf, F., Zeng, S., Rieck, B., Niethammer, M. & Kwitt, R., 29 Nov 2022, Advances in Neural Information Processing Systems 35 (NeurIPS). 13 p.Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
File -
Dissecting Supervised Constrastive Learning
Graf, F., Hofer, C. D., Niethammer, M. & Kwitt, R., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. Mathematical Research Press, p. 3821-3830 10 p. (Proceedings of Machine Learning Research; vol. 139).Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
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Dissecting Supervised Contrastive Learning
Kwitt, R., Graf, F., Hofer, C. & Niethammer, M., 2021, Proceedings of Machine Learning Research : Proceedings of the 38th International Conference on Machine Learning. Vol. 139. p. 3821 3830 p.Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
Open Access