Jalal Fadili Learning Guarantees with Mirror Stratifiable Regularization
Rongjie Lai Parallel Transport Convolutional Neural Networks on Manifolds
Zhiqin Xu Deep learning Theory : F Principle and an optimization framework
Xuecheng Tai A Regularized Shallow Convolutional Neural Network
Jianwei Ma Denoising with Weak Feature Preservation by Group-Sparsity Transfrom Learning
Bin Dong Learning and Learning to Solve PDEs
Sixin Zhang Scattering and Phase Harmonic Representations of High-Dimensional Data
Jean-Michel Morel Anomaly detection theory
Jacques Froment Two Mathematical Approaches for Hyperspectral and Multispectral Image Fusion
Ke Wei Solving Systems of Quadratic Equations: Manifold Algorithms and Global Geometry
Zuoqiang Shi PDE based Models in Machine Learning
Xiaoqun Zhang Variational Image Restoration: from Sparsity to Learning Based Approaches
Chenglong Bao Computational approaches for coherence retrieval and beyond
Jae-Kyu Choi HIRE: Harmonic Incompatibility REmoval Model for Whole Brain Susceptibility Imaging