Artikkelit, joihin on yleisen käytön mandaatti - Jack XinLisätietoja
Ei saatavilla missään: 1
Spectral analysis and computation for homogenization of advection diffusion processes in steady flows
NB Murphy, E Cherkaev, J Zhu, J Xin, KM Golden
Journal of Mathematical Physics 61 (1), 2020
Mandaatit: US National Science Foundation, US Department of Defense
Saatavilla jossain: 76
A weighted difference of anisotropic and isotropic total variation model for image processing
Y Lou, T Zeng, S Osher, J Xin
SIAM Journal on Imaging Sciences 8 (3), 1798-1823, 2015
Mandaatit: National Natural Science Foundation of China
Minimization of transformed penalty: theory, difference of convex function algorithm, and robust application in compressed sensing
S Zhang, J Xin
Mathematical Programming 169 (1), 307-336, 2018
Mandaatit: US National Science Foundation, National Natural Science Foundation of China
Deep learning for real-time crime forecasting and its ternarization
B Wang, P Yin, AL Bertozzi, PJ Brantingham, SJ Osher, J Xin
Chinese Annals of Mathematics, Series B 40 (6), 949-966, 2019
Mandaatit: US National Science Foundation, US Department of Defense
Difference-of-convex learning: directional stationarity, optimality, and sparsity
M Ahn, JS Pang, J Xin
SIAM Journal on Optimization 27 (3), 1637-1665, 2017
Mandaatit: US National Science Foundation, US Department of Defense
Binaryrelax: A relaxation approach for training deep neural networks with quantized weights
P Yin, S Zhang, J Lyu, S Osher, Y Qi, J Xin
SIAM Journal on Imaging Sciences 11 (4), 2205-2223, 2018
Mandaatit: US National Science Foundation, US Department of Energy, US Department of …
Blended coarse gradient descent for full quantization of deep neural networks
P Yin, S Zhang, J Lyu, S Osher, Y Qi, J Xin
Research in the Mathematical Sciences 6, 1-23, 2019
Mandaatit: US National Science Foundation, US Department of Energy, US Department of …
Quantization and training of low bit-width convolutional neural networks for object detection
P Yin, S Zhang, Y Qi, J Xin
Journal of Computational Mathematics, 349-359, 2019
Mandaatit: US National Science Foundation, US Department of Defense
A critical quantity for noise attenuation in feedback systems
L Wang, J Xin, Q Nie
PLoS Computational Biology 6 (4), e1000764, 2010
Mandaatit: US National Institutes of Health
Point Source Super-resolution Via Non-convex Based Methods
Y Lou, P Yin, J Xin
Journal of Scientific Computing 68 (3), 1082-1100, 2016
Mandaatit: US National Science Foundation
Transformed Schatten-1 iterative thresholding algorithms for low rank matrix completion
S Zhang, P Yin, J Xin
Comm. Math Sciences 15 (3), 839--862, 2017
Mandaatit: US National Science Foundation
Autoshufflenet: Learning permutation matrices via an exact lipschitz continuous penalty in deep convolutional neural networks
J Lyu, S Zhang, Y Qi, J Xin
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Mandaatit: US National Science Foundation
A time domain algorithm for blind separation of convolutive sound mixtures and L1 constrainted minimization of cross correlations
J Liu, J Xin, Y Qi, FG Zeng
Comm. Math Sciences 7 (1), 109-128, 2009
Mandaatit: US National Institutes of Health
Convergence of a relaxed variable splitting method for learning sparse neural networks via, and transformed-penalties
T Dinh, J Xin
Proceedings of SAI Intelligent Systems Conference, 360-374, 2020
Mandaatit: US National Science Foundation
A computational study of residual KPP front speeds in time-periodic cellular flows in the small diffusion limit
P Zu, L Chen, J Xin
Physica D: Nonlinear Phenomena 311, 37-44, 2015
Mandaatit: US Department of Energy
A dynamic algorithm for blind separation of convolutive sound mixtures
J Liu, J Xin, Y Qi
Neurocomputing 72 (1-3), 521-532, 2008
Mandaatit: US National Institutes of Health
Periodic orbits of the ABC flow with A= B= C= 1
J Xin, Y Yu, A Zlatos
SIAM Journal on Mathematical Analysis 48 (6), 4087-4093, 2016
Mandaatit: US National Science Foundation
Structured sparsity of convolutional neural networks via nonconvex sparse group regularization
K Bui, F Park, S Zhang, Y Qi, J Xin
Frontiers in applied mathematics and statistics 6, 529564, 2021
Mandaatit: US National Science Foundation
A study on graph-structured recurrent neural networks and sparsification with application to epidemic forecasting
Z Li, X Luo, B Wang, AL Bertozzi, J Xin
Optimization of Complex Systems: Theory, Models, Algorithms and Applications …, 2020
Mandaatit: US National Science Foundation, US Department of Energy, US Department of …
Sparsity meets robustness: Channel pruning for the Feynman-Kac formalism principled robust deep neural nets
T Dinh, B Wang, A Bertozzi, S Osher, J Xin
Machine Learning, Optimization, and Data Science: 6th International …, 2020
Mandaatit: US National Science Foundation, US Department of Defense
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