Diffusion for bayesian inverse problems
Notes on diffusion models, Bayesian inverse problems, posterior sampling, and generative priors.
PhD student
I am a third-year PhD student at LIDS at MIT, where I am grateful to be advised by Pablo Parrilo and supported by the NSF GRFP fellowship. I also work with Asu Ozdaglar and Russ Tedrake.
My research interests are broadly in learning algorithms for generative modeling and dynamical measure transport. I am also interested in connections between sampling and optimization.
Before MIT, I was an undergraduate and master's student at Princeton University, where I was fortunate to work with Bartolomeo Stellato and Amir Ali Ahmadi.
✉️ colbeck [at] mit [dot] edu
Higher-level writing on AI, research directions, and ideas in progress.
Notes on diffusion models, Bayesian inverse problems, posterior sampling, and generative priors.