Author

Jeffrey A. Fessler

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning May 2026

ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing

ForcingDAS is introduced, a unified and robust DA framework that learns a joint-trajectory prior instead of frame-to-frame transitions that allows it to capture long-horizon temporal dependencies and reduce error accumulation.

Yi-Xuan Jia, Si-Yi Chen, Yi Pan et al. · arXiv.org · 3 citations

#machine learning Open access May 2025

ALPCAHUS: Subspace Clustering for Heteroscedastic Data

This paper develops a heteroscedastic-based subspace clustering method that can estimate the sample-wise noise variances and use this information to improve the estimate of the subspace bases associated with the low-rank structure of the data.

Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano · IEEE Transactions on Signal... · 1 citation