Byoungwoo Park
Scholar

Byoungwoo Park

Google Scholar ID: MWCPYLMAAAAJ
KAIST
stochastic optimal control
Citations & Impact
All-time
Citations
17
 
H-index
2
 
i10-index
0
 
Publications
5
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - Infinite Dimensional Adjoint Sampler: Scalable Sampling on Function Spaces, NeurIPS 2025 Workshop
  • - Multi-Marginal Schrödinger Bridge Matching, Preprint
  • - Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series, ICLR 2025 (Oral Presentation)
  • - Stochastic Optimal Control for Diffusion Bridges in Function Spaces, NeurIPS 2024
  • Awards:
  • - NeurIPS 2024 Scholar Award
  • - ICLR 2025 Oral Presentation (Top 1.8%)
Research Experience
  • Working as a Master student at KAIST and as a Visiting Scholar at Georgia Tech.
Education
  • Master student at KAIST, advised by Juho Lee; Visiting Scholar at Georgia Tech, working with Yongxin Chen.
Background
  • Primary research interests are in generative models, state space models, and variational inference utilizing stochastic optimal control, with the goal of developing practical applications grounded in a rigorous theoretical understanding.
Miscellany
  • Contact: bw.park [at] kaist [dot] ac [dot] kr
  • Follow: Google Scholar, LinkedIn, bw-park, @bw__park