Tensor Dictionary Learning with Sparse Tucker Decomposition A MATLAB implementation of Tensor Dictionary Learning based on the Tucker decomposition, with sparsity imposed on the core tensor, following ...
Sparse dictionary coding represents signals as linear combinations of a few dictionary atoms. It has been applied to images, time series, graph signals and multi-way spatio-temporal data.
description [ICLR 2026][Interpretability][Sparse Autoencoders] Standard Sparse Autoencoders (SAEs) learned on aligned multimodal embeddings (like CLIP/CLAP) produce "split dictionaries"—where most ...
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