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Automatic Change-Point Detection in Time Series via Deep Learning

7 November 2022

Jie Li

Papers citing "Automatic Change-Point Detection in Time Series via Deep Learning"

21 / 21 papers shown

Title
Robust mean change point testing in high-dimensional data with heavy tails Mengchu Li Yudong Chen Tengyao Wang Yi Yu OOD 69 2 0 30 May 2023
Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media G. Paass Sven Giesselbach AI4CE 51 32 0 16 Feb 2023
Random Forests for Change Point Detection Malte Londschien Peter Bühlmann Solt Kovács 84 28 0 10 May 2022
Convergence rates of deep ReLU networks for multiclass classification Thijs Bos Johannes Schmidt-Hieber 71 24 0 02 Aug 2021
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models Arnaud Liehrmann G. Rigaill T. Hocking 50 9 0 12 Dec 2020
Optimal Change-Point Detection and Localization Nicolas Verzélen M. Fromont M. Lerasle Patricia Reynaud-Bouret 58 45 0 22 Oct 2020
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation Tim De Ryck M. D. Vos Alexander Bertrand 65 56 0 21 Aug 2020
Kernel Change-point Detection with Auxiliary Deep Generative Models Wei-Cheng Chang Chun-Liang Li Yiming Yang Barnabás Póczós 80 69 0 18 Jan 2019
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression Arun K. Kuchibhotla Abhishek Chakrabortty 64 108 0 08 Apr 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 230 815 0 22 Aug 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 211 434 0 08 Mar 2017
Detecting changes in slope with an $L_0$ penalty R. Maidstone Paul Fearnhead Adam N. Letchford 71 58 0 06 Jan 2017
High-dimensional changepoint estimation via sparse projection Tengyao Wang R. Samworth AI4TS 67 233 0 20 Jun 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 809 38,961 0 09 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Convolutional Neural Networks at Constrained Time Cost Kaiming He Jian Sun 3DV 88 1,292 0 04 Dec 2014
Wild binary segmentation for multiple change-point detection Piotr Fryzlewicz 86 653 0 04 Nov 2014
Likelihood-free inference via classification Michael U. Gutmann Ritabrata Dutta Samuel Kaski J. Corander 183 63 0 18 Jul 2014
Change-Point Detection under Dependence Based on Two-Sample U-Statistics H. Dehling R. Fried I. García Martin Wendler 53 37 0 09 Apr 2013