Nebiyou Yismaw

Nebiyou Yismaw

PhD Candidate at UC Riverside working on computational imaging, inverse problems, and machine learning for robust visual sensing.

Parameter-efficient multi-task and multi-domain learning using factorized tensor networks

Published in IEEE Open Journal of Signal Processing, 2025

Recommended citation: Garg, Y., Yismaw, N., Hyder, R., Prater-Bennette, A., Roy-Chowdhury, A., and Asif, M. S. (2025). "Parameter-efficient multi-task and multi-domain learning using factorized tensor networks." IEEE Open Journal of Signal Processing.
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