Scholar
Grigory Bartosh
Google Scholar ID: QROuyifwpvkC
PhD candidate at University of Amsterdam
Citations & Impact
Citations
102
H-index
6
i10-index
5
Publications
7
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations, ICML 2025
- - Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling, NeurIPS 2024
- - Variational Flow Matching for Graph Generation, NeurIPS 2024
- - Equivariant Neural Diffusion for Molecule Generation, NeurIPS 2024
- - Neural Diffusion Models, ICML 2024
Research Experience
- Ph.D. student at the Amsterdam Machine Learning Lab (AMLab) at the University of Amsterdam.
Education
- Ph.D. Candidate in Machine Learning at the University of Amsterdam, supervised by Christian A. Naesseth; Master’s in Data Science from Higher School of Economics, supervised by Dmitry Vetrov.
Background
- Research Interests: Deep Learning, with a focus on Generative Models, particularly Diffusion Models.
