Voor de beste ervaring schakelt u JavaScript in en gebruikt u een moderne browser!
Je gebruikt een niet-ondersteunde browser. Deze site kan er anders uitzien dan je verwacht.

Dr. J.W. (Jan-Willem) van de Meent

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute

Bezoekadres
  • Science Park 904
  • Kamernummer: L4.13
Postadres
  • Postbus 94323
    1090 GH Amsterdam
  • Publicaties

    2025

    2024

    • Eijkelboom, F., Bartosh, G., Naesseth, C. A., Welling, M., & van de Meent, J. W. (2024). Variational Flow Matching for Graph Generation. In Advances in Neural Information Processing Systems (Vol. 37). (Advances in Neural Information Processing Systems). Neural Information Processing Systems Foundation.
    • McInerney, D. J., Dickinson, W., Flynn, L. C., Young, A. C., Young, G. S., van de Meent, J.-W., & Wallace, B. C. (2024). Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. In K. Duh, H. Gomez, & S. Bethard (Eds.), The 2024 Conference of the North American Chapter of the Association for Computational Linguistics : proceedings of the conference: NAACL 2024 : June 16-21, 2024 (Vol. 1, pp. 7193-7210). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.naacl-long.399 [details]
    • Zimmermann, H., Naesseth, C. A., & van de Meent, J. W. (2024). VISA: Variational Inference with Sequential Sample-Average Approximations. In Advances in Neural Information Processing Systems (Vol. 37). (Advances in Neural Information Processing Systems). Neural Information Processing Systems Foundation.

    2023

    2022

    2025

    • Zaghen, O., Eijkelboom, F., Pouplin, A., Liu, C., Welling, M., van de Meent, J.-W., & Bekkers, E. J. (2025). Riemannian Variational Flow Matching for Material and Protein Design. ArXiv. https://doi.org/10.48550/arXiv.2502.12981

    2025

    • Zimmermann, H. (2025). Variational inference for probabilistic programs and generative models. [Thesis, fully internal, Universiteit van Amsterdam]. [details]

    2024

    • Esmaeili, B. (2024). Learning useful representations with variational autoencoders. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Nevenwerkzaamheden
    • Northeastern University
      Advising of existing students and completion of running projects.