I do probabilistic machine learning research and am interested in:
- Generative models (normalizing flows, diffusion)
- Large language models (quantization, diffusion language models)
- Statistical inference & sampling (Bayesian computation,variational inference, Markov chain Monte Carlo)
- AI4Science (inverse problems)
Currently on my mind:
- Discrete flow matching π
- JAX is cool π