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Papers
Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors
JMLR 2026
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
EMNLP 2024
Efficient Leverage Score Sampling for Tensor Train Decomposition
NeurIPS 2024
Tensor-train methods for sequential state and parameter learning in state-space models
JMLR 2024
Efficient Structure-preserving Support Tensor Train Machine
JMLR 2023
Error Analysis of Tensor-Train Cross Approximation
NeurIPS 2022
Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation
EMNLP 2022
tntorch: Tensor Network Learning with PyTorch
JMLR 2022
Towards Practical Control of Singular Values of Convolutional Layers
NeurIPS 2022
Spectral Tensor Train Parameterization of Deep Learning Layers
AISTATS 2021
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
NeurIPS 2020
Tensorized Embedding Layers
EMNLP 2020
Compressing End-to-end ASR Networks by Tensor-Train Decomposition
Interspeech 2018
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
AISTATS 2018
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition
RSS 2015