
Influence Estimation and Maximization via Neural MeanField Dynamics
We propose a novel learning framework using neural meanfield (NMF) dyna...
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Provably Convergent Learned Inexact Descent Algorithm for LowDose CT Reconstruction
We propose a provably convergent method, called Efficient Learned Descen...
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A Hypergradient Approach to Robust Regression without Correspondence
We consider a regression problem, where the correspondence between input...
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Deep Parallel MRI Reconstruction Network Without Coil Sensitivities
We propose a novel deep neural network architecture by mapping the robus...
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Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
We propose a general learning based framework for solving nonsmooth and ...
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Network Diffusions via Neural MeanField Dynamics
We propose a novel learning framework based on neural meanfield dynamic...
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A Novel Learnable Gradient Descent Type Algorithm for Nonconvex Nonsmooth Inverse Problems
Optimization algorithms for solving nonconvex inverse problem have attra...
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Numerical Solution of Inverse Problems by Weak Adversarial Networks
We consider a weak adversarial network approach to numerically solve a c...
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Learning Cost Functions for Optimal Transport
Learning the cost function for optimal transport from observed transport...
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Weak Adversarial Networks for Highdimensional Partial Differential Equations
Solving general highdimensional partial differential equations (PDE) is...
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Learning to Recommend via Inverse Optimal Matching
We consider recommendation in the context of optimal matching, i.e., we ...
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Learning Deep Mean Field Games for Modeling Large Population Behavior
We consider the problem of representing collective behavior of large pop...
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Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations
We consider the problem of representing a large population's behavior po...
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Wasserstein Learning of Deep Generative Point Process Models
Point processes are becoming very popular in modeling asynchronous seque...
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CoarsetoFine Classification via Parametric and Nonparametric Models for ComputerAided Diagnosis
Classification is one of the core problems in ComputerAided Diagnosis (...
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Xiaojing Ye
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