Abstract: There is a vast literature on representation learning based on principles such as coding efficiency, statistical independence, causality, controllability, or symmetry. In this paper we ...
Abstract: In the past few years, group-based sparse representation (GSR) has emerged as a powerful paradigm for image inverse problems by synergizing model-driven interpretability with nonlocal ...
Jiaxun Li, Aaron, Suraj Srinivas, Usha Bhalla, and Himabindu Lakkaraju. "Evaluating Adversarial Robustness of Concept Representations in Sparse Autoencoders." Proceedings of the Conference of the ...
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