Követés
Sui Tang
Cím
Hivatkozott rá
Hivatkozott rá
Év
Dynamical sampling
A Aldroubi, C Cabrelli, U Molter, S Tang
Applied and Computational Harmonic Analysis 42 (3), 378-401, 2017
1292017
Nonparametric inference of interaction laws in systems of agents from trajectory data
F Lu, M Zhong, S Tang, M Maggioni
Proceedings of the National Academy of Sciences 116 (29), 14424-14433, 2019
1082019
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories
F Lu, M Maggioni, S Tang
The Journal of Machine Learning Research 22 (1), 1518-1584, 2021
562021
On the identifiability of interaction functions in systems of interacting particles
Z Li, F Lu, M Maggioni, S Tang, C Zhang
Stochastic Processes and their Applications 132, 135-163, 2021
312021
Dynamical sampling in hybrid shift invariant spaces
R Aceska, S Tang, V Furst
Operator Methods in Wavelets, Tilings, and Frames 626, 149, 2014
232014
Sensor calibration for off-the-grid spectral estimation
YC Eldar, W Liao, S Tang
Applied and Computational Harmonic Analysis 48 (2), 570-598, 2020
222020
System identification in dynamical sampling
S Tang
Advances in Computational Mathematics 43, 555-580, 2017
222017
Multidimensional signal recovery in discrete evolution systems via spatiotemporal trade off
R Aceska, A Petrosyan, S Tang
Sampling Theory in Signal and Image Processing 14, 153-169, 2015
142015
Learning theory for inferring interaction kernels in second-order interacting agent systems
J Miller, S Tang, M Zhong, M Maggioni
arXiv preprint arXiv:2010.03729, 2020
122020
Phaseless reconstruction from space–time samples
A Aldroubi, I Krishtal, S Tang
Applied and Computational Harmonic Analysis 48 (1), 395-414, 2020
102020
Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories
F Lu, M Maggioni, S Tang
Foundations of Computational Mathematics, 1013–1067, 2021
92021
Data-driven discovery of interacting particle systems using Gaussian processes
J Feng, Y Ren, S Tang
arXiv e-prints, arXiv: 2106.02735, 2021
92021
An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM
Y Zhang, S Tang, G Yu
Scientific Reports 13 (1), 6708, 2023
62023
Estimate the spectrum of affine dynamical systems from partial observations of a single trajectory data
J Cheng, S Tang
Inverse Problems 38 (1), 015004, 2021
52021
Phase retrieval of evolving signals from space-time samples
A Aldroubi, I Krishtal, S Tang
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
52017
Higher-order error estimates for physics-informed neural networks approximating the primitive equations
R Hu, Q Lin, A Raydan, S Tang
Partial Differential Equations and Applications 4 (4), 34, 2023
42023
Learning theory for inferring interaction kernels in second-order interacting agent systems
J Miller, S Tang, M Zhong, M Maggioni
Sampling Theory, Signal Processing, and Data Analysis 21 (1), 21, 2023
42023
Scalable marginalization of correlated latent variables with applications to learning particle interaction kernels
M Gu, X Liu, X Fang, S Tang
The New England Journal of Statistics in Data Science 1 (2), 172-186, 2022
42022
Robust recovery of bandlimited graph signals via randomized dynamical sampling
L Huang, D Needell, S Tang
arXiv preprint arXiv:2109.14079, 2021
42021
Universal spatiotemporal sampling sets for discrete spatially invariant evolution processes
S Tang
IEEE Transactions on Information Theory 63 (9), 5518-5528, 2017
32017
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Cikkek 1–20