bib.md

A short list of some related papers.

Hankel completion

1. Fast Hankel Tensor-Vector Products and Application to Exponential Data Fitting. arXiv preprint, 2014.
2. Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion. Applied and Computational Harmonic Analysis, 2017.
3. Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals. IEEE Transactions on Signal Processing, 2017.
4. Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space. CVPR 2018.
5. Correction of Corrupted Columns Through Fast Robust Hankel Matrix Completion. IEEE Transactions on Signal Processing, 2019.
6. Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. AAAI 2020.
7. Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction. IEEE Signal Processing Letters, 2020.
8. Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion. arXiv preprint, 2022.
9. Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space. CVPR 2022.
10. Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review. Statistics and Its Interface, 2022.

Deep prior

1. Deep image prior
2. On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition. ICML 2019.
3. Implicit Regularization in Deep Matrix Factorization. NeurIPS 2019. [Python code]
4. Understanding implicit regularization in deep learning by analyzing trajectories of gradient descent, 2019.
5. Can implicit regularization in deep learning be explained by norms? 2020.
6. Implicit Regularization in Tensor Factorization: Can Tensor Rank Shed Light on Generalization in Deep Learning? 2021.
7. Implicit Regularization in Tensor Factorization. arXiv preprint, 2021.
8. Compressive Spectral Image Reconstruction using Deep Prior and Low-Rank Tensor Representation. arXiv preprint, 2021.
9. DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors. arXiv preprint, 2022.
10. Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. ICML 2022.

Irregularly-sampled time series

1. Learning from Irregularly-Sampled Time Series: A Missing Data Perspective. arXiv preprint, 2020.