Closed-Form Diffeomorphic Transformations for Time Series Alignment

Closed-Form Diffeomorphic Transformations for Time Series Alignment

16 June 2022

Iñigo Martinez

Igor García Olaizola

ArXiv (abs)PDF HTML

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 Hao Huang Boulbaba Ben Amor Xichan Lin Fan Zhu Yi Fang AI4TS MedIm 30 6 0 22 Jun 2021
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment Elvis Nunez Andrew Lizarraga Shantanu H. Joshi 45 1 0 27 Apr 2021
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 William S. Moses Valentin Churavy 38 87 0 04 Oct 2020
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 Yabo Fu Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 101 525 0 27 Dec 2019
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain S. Khorram M. McInnis E. Provost AI4TS 30 11 0 21 Mar 2019
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 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 Marco Cuturi Mathieu Blondel AI4TS 172 627 0 05 Mar 2017
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 316 7,396 0 05 Jun 2015