Assistant Professor, Washington State University
2 papers at NeurIPS 2025
We view offline optimization from the new lens of a distributional translation task which can be modeled with a generalized Brownian Bridge Diffusion process mapping between the low-value and high-value input distributions.
Learning Reconfigurable Representations for Multimodal Federated Learning with Heterogenous Missing Data