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Grigory Bartosh

Ph.D. Candidate in ML at UvA

I am a third-year Ph.D. student in the Amsterdam Machine Learning Lab (AMLab) at the University of Amsterdam, supervised by Christian A. Naesseth. Previously, I completed my Master’s in Data Science at the Higher School of Economics, under the supervision of Dmitry Vetrov.

I work in the field of Deep Learning, with research interests focused on Generative Models, particularly Diffusion Models.

Selected publications

  1. NeurIPS
    Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
    Grigory Bartosh, Dmitry Vetrov, and Christian A Naesseth
    Advances in Neural Information Processing Systems, 2024
  2. NeurIPS
    Variational Flow Matching for Graph Generation
    Floor Eijkelboom*Grigory Bartosh*, Christian Andersson Naesseth, and 2 more authors
    Advances in Neural Information Processing Systems, 2024
  3. NeurIPS
    Equivariant Neural Diffusion for Molecule Generation
    François RJ Cornet, Grigory Bartosh, Mikkel N Schmidt, and 1 more author
    Advances in Neural Information Processing Systems, 2024
  4. ICML
    Neural Diffusion Models
    Grigory Bartosh, Dmitry Vetrov, and Christian A Naesseth
    The 41st International Conference on Machine Learning (ICML), 2024