Alexander Korotin
Scholar

Alexander Korotin

Google Scholar ID: 1rIIvjAAAAAJ
Skoltech, AIRI
generative modelsschrodinger bridgesoptimal transportdomain translationimage-to-image
Citations & Impact
All-time
Citations
1,330
 
H-index
20
 
i10-index
29
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • ICML 2025: Proposed Electrostatic Field Matching (EFM), a physics-inspired method for generative modeling and distribution transfer
  • ICML 2025: Introduced Inverse Bridge Matching Distillation, accelerating diffusion bridge model inference by 4x–100x with improved generation quality
  • NeurIPS 2024: Proposed Adversarial Schrödinger Bridge Matching, an efficient iterative procedure for learning Schrödinger Bridges in discrete time
  • ICLR 2024: Introduced Light Schrödinger Bridge, a novel lightweight solver for the Schrödinger Bridge problem
  • NeurIPS 2023 (Oral, Top 3%): Proposed Entropic Neural Optimal Transport via Diffusion Processes for computing entropic optimal transport plans from samples
Education
  • PhD in Math & Physics, 2023 (advisor: Prof. E. Burnaev)
  • PhD studies in Computer Science, 2018–2022, Skolkovo Institute of Science and Technology (Skoltech)
  • MSc in Computer Science, 2016–2018, Higher School of Economics (HSE)
  • Yandex School of Data Analysis, 2013–2016
  • BSc in Mathematics, 2012–2016, Higher School of Economics (HSE)