Graduate Research Assistant
Current- Developed scalable sample-based variational inference algorithms for large graphical problems that capture distributions with complex shapes significantly more accurately and efficiently than previous methods- Investigating applications of variational inference techniques to guide generative diffusion model outputs- Assisted with projects on highly.