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Identifiability of Kronecker-Structured Dictionaries for Tensor Data., , and . J. Sel. Topics Signal Processing, 12 (5): 1047-1062 (2018)Revisiting maximal response-based local identification of overcomplete dictionaries., and . SAM, page 1-5. IEEE, (2016)STARK: Structured dictionary learning through rank-one tensor recovery., , , and . CAMSAP, page 1-5. IEEE, (2017)Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models., , , , , , , , , and 1 other author(s). CoRR, (2023)Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems., , , , and . SPAWC, page 1-5. IEEE, (2019)Sample complexity bounds for dictionary learning of tensor data., , and . ICASSP, page 4501-4505. IEEE, (2017)Minimax Lower Bounds on Dictionary Learning for Tensor Data., , and . IEEE Trans. Inf. Theory, 64 (4): 2706-2726 (2018)Identification of kronecker-structured dictionaries: An asymptotic analysis., , and . CAMSAP, page 1-5. IEEE, (2017)Minimax lower bounds for Kronecker-structured dictionary learning., , and . ISIT, page 1148-1152. IEEE, (2016)Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning., , , and . ISIT, page 2294-2298. IEEE, (2019)