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cs.LG2024
The Star Geometry of Critic-Based Regularizer Learning
Oscar Leong, Eliza O'Reilly, Yong Sheng Soh
Variational regularization is a classical technique to solve statistical inference tasks and inverse problems, with modern data-driven approaches parameterizing regularizers via de…
cs.LG2020★ 1 cited
Collaborative Inference for Efficient Remote Monitoring
Chi Zhang, Yong Sheng Soh, Ling Feng +2
While current machine learning models have impressive performance over a wide range of applications, their large size and complexity render them unsuitable for tasks such as remote…