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Closed-Form Diffeomorphic Transformations for Time Series Alignment

Closed-Form Diffeomorphic Transformations for Time Series Alignment

16 June 2022
Iñigo Martinez
E. Viles
Igor García Olaizola
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Closed-Form Diffeomorphic Transformations for Time Series Alignment"

11 / 11 papers shown
Title
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time
  Series Alignment
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment
Hao Huang
Boulbaba Ben Amor
Xichan Lin
Fan Zhu
Yi Fang
AI4TSMedIm
30
6
0
22 Jun 2021
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic
  Shape Alignment
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment
Elvis Nunez
Andrew Lizarraga
Shantanu H. Joshi
47
1
0
27 Apr 2021
Differentiable Divergences Between Time Series
Differentiable Divergences Between Time Series
Mathieu Blondel
A. Mensch
Jean-Philippe Vert
AI4TS
117
39
0
16 Oct 2020
Instead of Rewriting Foreign Code for Machine Learning, Automatically
  Synthesize Fast Gradients
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
William S. Moses
Valentin Churavy
38
87
0
04 Oct 2020
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
Juntang Zhuang
Nicha Dvornek
Xiaoxiao Li
S. Tatikonda
X. Papademetris
James Duncan
BDL
105
112
0
03 Jun 2020
Deep Learning in Medical Image Registration: A Review
Deep Learning in Medical Image Registration: A Review
Yabo Fu
Y. Lei
Tonghe Wang
W. Curran
Tian Liu
Xiaofeng Yang
103
525
0
27 Dec 2019
Trainable Time Warping: Aligning Time-Series in the Continuous-Time
  Domain
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain
S. Khorram
M. McInnis
E. Provost
AI4TS
32
11
0
21 Mar 2019
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine
  Learning
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning
Akshay Agrawal
A. Modi
Alexandre Passos
Allen Lavoie
Ashish Agarwal
...
Igor Ganichev
J. Levenberg
Mingsheng Hong
R. Monga
Shanqing Cai
67
79
0
27 Feb 2019
DiffEqFlux.jl - A Julia Library for Neural Differential Equations
DiffEqFlux.jl - A Julia Library for Neural Differential Equations
Christopher Rackauckas
Mike Innes
Yingbo Ma
J. Bettencourt
Lyndon White
Vaibhav Dixit
72
119
0
06 Feb 2019
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
172
627
0
05 Mar 2017
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
316
7,396
0
05 Jun 2015
1