Vasily Ilin
Scholar

Vasily Ilin

Google Scholar ID: GWN1zfkAAAAJ
University of Washington
samplingneural networksLandau equation
Citations & Impact
All-time
Citations
66
 
H-index
4
 
i10-index
1
 
Publications
8
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • First-authored paper 'Score-Based Deterministic Density Sampling' accepted at ICLR 2025
  • Co-authored paper 'RealEdit: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations' accepted at CVPR 2025
  • First-authored paper 'Transport based particle methods for the Fokker-Planck-Landau equation' published in Communications in Mathematical Sciences (CMS), 2025
  • Co-authored paper on JumpProcesses.jl published at JuliaCon 2023
  • Co-authored paper 'Catalyst: Fast and flexible modeling of reaction network' published in PLOS Computational Biology, 2023
  • Gave two talks at JMM 2025 on deterministic sampling and Lean-based mentorship
  • Presented posters at ICLR 2025 and the Kinetic Fluid Workshop at UW-Madison in 2025
Background
  • Ph.D. student at the University of Washington, advised by Jingwei Hu
  • Deputy director of the UW Math AI Lab and organizer of the UW Math AI Seminar
  • Grew up in Russia and moved to Boston in 2015 for undergraduate studies
  • Initially studied economics, switched to mathematics, graduated in 2019, then earned a Master’s in computer science in 2020
  • Started Ph.D. in algebraic topology, pivoted to applied mathematics in 2022 after a Google internship
  • Current research focuses on deep learning and interacting particle systems for plasma modeling and sampling problems