Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on
Riemannian Gradient Descent With Illustrations of Speech Processing

Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing

IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022

11 March 2022

Chao-Han Huck Yang

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Papers citing "Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing"

8 / 8 papers shown

Title
TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh 122 0 0 01 Aug 2025
Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation Jun Qi Chen-Yu Liu Sabato Marco Siniscalchi Chao-Han Huck Yang Min-hsiu Hsieh 154 0 0 19 Jun 2025
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine LearningInternational Symposium on Circuits and Systems (ISCAS), 2024 Jun Qi Chao-Han Huck Yang Samuel Yen-Chi Chen Pin-Yu Chen VLM 154 5 0 14 Nov 2024
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits Jun Qi Chao-Han Huck Yang Samuel Yen-Chi Chen Pin-Yu Chen Hector Zenil Jesper Tegner 195 1 0 13 Nov 2024
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery Zhen Qin M. Wakin Zhihui Zhu 340 12 0 05 Jan 2024
Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms Alejandro Mata Ali Inigo Perez Delgado Marina Ristol Roura Aitor Moreno-Fernandez-de-Leceta 255 1 0 11 Sep 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Xinjian Zhao Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 509 35 0 22 Jan 2023
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regressionnpj Quantum Information (NQI), 2022 Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh 263 64 0 08 Jun 2022