I am Shervin Khalafi, a second-year PhD student of Electrical & Systems Engineeering at the University of Pennsylvania where I am advised by Prof. Alejandro Ribeiro. My research inteterests include Generative Models, Optimization Theory, and graph-based Machine Learning.

Currently, I am developing constrained optimization frameworks for training generative models (diffusion models in particular) under requirements. I am also studying generative diffusion models for Graphs.

News

1. (09/2024) Our paper “Constrained Diffusion Models via Dual Training” was accepted in NeurIPS 2024.
2. (05/2024) Our paper “Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks” was accepted in ICML 2024.