inverse-problem
Chinese translated lecture notes for MATH 6366 @ UH
[Chinese] 私译课堂笔记 MATH 6366: 优化论 (Optimization Theory)，主要参考教程为Boyd的《Convex optimization》
Special Notes on Mar. 4, 2019
Weekly notes. In this note we are mainly learning "Solving ill-posed inverse problems using iterative deep neural networks".
Special Notes on Feb. 28, 2019
A derivation for the non-negative constrained least length problem. Here we only discuss the simplified form $\lVert \mathbf{x} \rVert_2^2,~\mathrm{s.t.}~\mathbf{Hx} \succeq \mathbf{h}$.
Special Notes on Feb. 27, 2019
Weekly notes. In this note we are mainly learning "NETT: Solving Inverse Problems with Deep Neural Networks".
Guide book for Tensorflow
[Chinese] a guide book for starters who want to learn Tensorflow.
Notes from Jan. 29, 2019 to Feb. 15, 2019
A collection for other's researches about inverse problem. This article is an introduction and also a categorization.
Special Notes on Aug. 24, 2018
A short discussion about the derivation of LMA from the function expansion view.
Special Notes on Aug. 13, 2018
A collection of the discussions about the deep-learning implementation of proximal learning, and conventional inverse algorithms like ISTA and AMP.
Notes on Jul. 20, 2018
A collection for abstracts of those papers related to inverse problem enhanced by deep learning. This is the part I.
Tensorflow Inspection for FWM Curves 180602
[PRIVATE] Using the forward model by tensorflow-python-api. We would discuss about how to use data driven methods and model driven methods here.
Forward Model : Curves 180602
[PRIVATE] A forward model which is migrated from matlab-c-api to python-c-api. By using this model, we could simulate the electromagnetic response of an underground geophysical model.