Zakhar Shumaylov
Scholar

Zakhar Shumaylov

Google Scholar ID: EKV1lrAAAAAJ
PhD Student, University of Cambridge
Applied MathematicsMachine LearningGeometric Deep LearningInverse Problems
Citations & Impact
All-time
Citations
1,447
 
H-index
7
 
i10-index
7
 
Publications
16
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • "AI Models Collapse When Trained on Recursively Generated Data", Nature (2024)
  • "Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups", ICLR 2025
  • "Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows", ICML 2025
  • "Data-Driven Convex Regularisers For Inverse Problems", ICASSP 2024
  • "Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation", ICML 2024
  • "Quantum initial conditions for curved inflating universes", Physical Review D (2024)
  • "Symplectic neural flows for modeling and discovery", arXiv preprint arXiv:2412.16787 (2024)