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Training-set-free two-stage deep learning for spectroscopic data
  de-noising
v1v2 (latest)

Training-set-free two-stage deep learning for spectroscopic data de-noising

29 February 2024
Dongchen Huang
Junde Liu
Tian Qian
Hongming Weng
ArXiv (abs)PDFHTML

Papers citing "Training-set-free two-stage deep learning for spectroscopic data de-noising"

10 / 10 papers shown
Title
Removing grid structure in angle-resolved photoemission spectra via deep
  learning method
Removing grid structure in angle-resolved photoemission spectra via deep learning method
Junde Liu
Dongchen Huang
Yi-Feng Yang
Tian Qian
42
4
0
20 Oct 2022
Weak-signal extraction enabled by deep-neural-network denoising of
  diffraction data
Weak-signal extraction enabled by deep-neural-network denoising of diffraction data
Jens Oppliger
M. Denner
J. Küspert
R. Frison
Qisi Wang
...
M. Oda
F. D. Natterer
M. H. Fischer
T. Neupert
Johan Chang
40
7
0
19 Sep 2022
Denoising and feature extraction in photoemission spectra with
  variational auto-encoder neural networks
Denoising and feature extraction in photoemission spectra with variational auto-encoder neural networks
F. Restrepo
Junjing Zhao
U. Chatterjee
44
6
0
14 Mar 2022
Deep learning-based statistical noise reduction for multidimensional
  spectral data
Deep learning-based statistical noise reduction for multidimensional spectral data
Younsik Kim
Dong-Han Oh
S. Huh
D. Song
Sunbeom Jeong
...
Byungmin Sohn
Suyoung Lee
Jounghoon Hyun
Yeonghoon Lee
Changyoung Kim
33
33
0
02 Jul 2021
Robust Recovery via Implicit Bias of Discrepant Learning Rates for
  Double Over-parameterization
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
Chong You
Zhihui Zhu
Qing Qu
Yi-An Ma
31
42
0
16 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
568
42,677
0
03 Dec 2019
Gradient Descent Only Converges to Minimizers: Non-Isolated Critical
  Points and Invariant Regions
Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions
Ioannis Panageas
Georgios Piliouras
56
142
0
02 May 2016
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor
  Decomposition
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition
Rong Ge
Furong Huang
Chi Jin
Yang Yuan
143
1,059
0
06 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,145
0
20 Dec 2014
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