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Capturing dynamical correlations using implicit neural representations

Capturing dynamical correlations using implicit neural representations

8 April 2023
Sathya R. Chitturi
Zhurun Ji
A. Petsch
Cheng Peng
Zhantao Chen
Rajan Plumley
Mike Dunne
Sougata Mardanya
Sugata Chowdhury
Hongwei Chen
A. Bansil
A. Feiguin
A. Kolesnikov
D. Prabhakaran
S. Hayden
Daniel Ratner
Chunjing Jia
Y. Nashed
Joshua J. Turner
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Papers citing "Capturing dynamical correlations using implicit neural representations"

5 / 5 papers shown
Title
Hyper-Compression: Model Compression via Hyperfunction
Hyper-Compression: Model Compression via Hyperfunction
Fenglei Fan
Juntong Fan
Dayang Wang
Jingbo Zhang
Zelin Dong
Shijun Zhang
Ge Wang
Tieyong Zeng
24
0
0
01 Sep 2024
Enhancing Accuracy and Parameter-Efficiency of Neural Representations
  for Network Parameterization
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
Hongjun Choi
Jayaraman J. Thiagarajan
Ruben Glatt
Shusen Liu
43
0
0
29 Jun 2024
Machine learning enabled experimental design and parameter estimation
  for ultrafast spin dynamics
Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics
Zhantao Chen
Cheng Peng
A. Petsch
Sathya R. Chitturi
Alana Okullo
Sugata Chowdhury
Chun Hong Yoon
J. Turner
11
1
0
03 Jun 2023
Novel Light Field Imaging Device with Enhanced Light Collection for Cold
  Atom Clouds
Novel Light Field Imaging Device with Enhanced Light Collection for Cold Atom Clouds
S. Cheong
J. Frisch
S. Gasiorowski
J. Hogan
Michael Kagan
M. Safdari
A. Schwartzman
M. Vandegar
24
3
0
23 May 2022
Simplified algorithms for adaptive experiment design in parameter
  estimation
Simplified algorithms for adaptive experiment design in parameter estimation
R. McMichael
S. Blakley
21
10
0
16 Feb 2022
1