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WATCH: Wasserstein Change Point Detection for High-Dimensional Time
  Series Data

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

18 January 2022
Kamil Faber
Roberto Corizzo
B. Sniezynski
Michael Baron
Nathalie Japkowicz
    AI4TS
ArXivPDFHTML

Papers citing "WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data"

10 / 10 papers shown
Title
Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy
  and Topological Preservation
Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation
Sebastian Basterrech
38
0
0
05 Oct 2024
Estimating Environmental Cost Throughout Model's Adaptive Life Cycle
Estimating Environmental Cost Throughout Model's Adaptive Life Cycle
Vishwesh Sangarya
Richard M. Bradford
Jung-Eun Kim
24
2
0
23 Jul 2024
A Self-Organizing Clustering System for Unsupervised Distribution Shift
  Detection
A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection
Sebastian Basterrech
Line Clemmensen
Gerardo Rubino
OOD
27
2
0
25 Apr 2024
Neural Stochastic Differential Equations with Change Points: A
  Generative Adversarial Approach
Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach
Zhongchang Sun
Yousef El-Laham
Svitlana Vyetrenko
AI4TS
11
2
0
20 Dec 2023
A Natural Gas Consumption Forecasting System for Continual Learning
  Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
Radek Svoboda
Sebastian Basterrech
Jedrzej Kozal
Jan Platoš
Michal Wo'zniak
16
3
0
07 Sep 2023
Adaptive Bernstein Change Detector for High-Dimensional Data Streams
Adaptive Bernstein Change Detector for High-Dimensional Data Streams
Marco Heyden
Edouard Fouché
Vadim Arzamasov
Tanja Fenn
Florian Kalinke
Klemens Bohm
11
1
0
22 Jun 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning
  Systems
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker
Alexander New
Mario Aguilar-Simon
Ziad Al-Halah
Sébastien M. R. Arnold
...
Zifan Xu
A. Yanguas-Gil
Harel Yedidsion
Shangqun Yu
Gautam K. Vallabha
24
15
0
18 Jan 2023
System Design for an Integrated Lifelong Reinforcement Learning Agent
  for Real-Time Strategy Games
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Indranil Sur
Z. Daniels
Abrar Rahman
Kamil Faber
Gianmarco J. Gallardo
...
Roberto Corizzo
Ajay Divakaran
M. Piacentino
Jesse Hostetler
Aswin Raghavan
CLL
OffRL
33
4
0
08 Dec 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning:
  Application to Starcraft-2
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
Z. Daniels
Aswin Raghavan
Jesse Hostetler
Abrar Rahman
Indranil Sur
M. Piacentino
Ajay Divakaran
CLL
OffRL
26
12
0
09 Aug 2022
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Florian Kalinke
Marco Heyden
Edouard Fouché
Klemens Bohm
Klemens Böhm
24
0
0
25 May 2022
1