O. (Olga) Zaghen
Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
- Science Park 900
Postadres
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Postbus 94323
1090 GH Amsterdam
Contactgegevens
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Publicaties
2025
- Hong, S., Kim, J., Zaghen, O., Suleymanzade, A., & Ryou, Y. (2025). Revisiting Random Walks for Learning on Graphs. In International Conference on Learning Representations, ICLR 2025 https://doi.org/10.48550/arXiv.2407.01214
- Zaghen, O., Madeira, M., Toni, L., & Frossard, P. (2025). Graph Discrete Diffusion: a Spectral Study. In ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy
2025
- Carrasco, M., Zaghen, O., Sumaraj, K., Bekkers, E., & Rieck, B. (2025). Graph Homomorphism Distortion: A Metric to Distinguish Them All and in the Latent Space Bind Them. ArXiv. https://doi.org/10.48550/arXiv.2511.03068
2026
Zaghen, O., Eijkelboom, F., Pouplin, A., Liu, C., Welling, M., van de Meent, J.-W., & Bekkers, E. J. (2026). Riemannian Variational Flow Matching for Material and Protein Design. Paper presented at 14th International Conference on Learning Representations, Rio de Janeiro, Brazil. https://doi.org/10.48550/arXiv.2502.12981 [details]
2025
- Zaghen, O., Eijkelboom, F., Pouplin, A., & Bekkers, E. J. (2025). Towards Variational Flow Matching on General Geometries. Paper presented at ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy, Singapore, Singapore. https://doi.org/10.48550/arXiv.2502.12981 [details]
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Nevenwerkzaamheden
Geen nevenwerkzaamheden
Zaghen, O., Eijkelboom, F., Pouplin, A., Liu, C., Welling, M., van de Meent, J.-W., & Bekkers, E. J. (2026). Riemannian Variational Flow Matching for Material and Protein Design. Paper presented at 14th International Conference on Learning Representations, Rio de Janeiro, Brazil.