DAMNETS: a deep autoregressive model for generating Markovian network time series

DAMNETS: a deep autoregressive model for generating Markovian network time series

Generative models for network time series (also known as dynamic graphs) have tremendous potential in fields such as epidemiology, biology and economics, where complex graph-based dynamics are core objects of study. Designing flexible and scalable generative models is a very challenging task due to...

תיאור מלא

מידע ביבליוגרפי
Main Authors:	Clarkson, J, Cucuringu, M, Elliott, A, Reinert, G
פורמט:	Conference item
שפה:	English
יצא לאור:	Journal of Machine Learning Research 2022

פריטים דומים

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Detection and clustering of lead-lag networks for multivariate time series with an application to financial markets
מאת: Bennett, S, et al.
יצא לאור: (2022)

Lead–lag detection and network clustering for multivariate time series with an application to the US equity market
מאת: Bennett, S, et al.
יצא לאור: (2022)

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יצא לאור: (2019-01-01)

The Autoregressive metric for comparing time series models
מאת: Domenico Piccolo
יצא לאור: (2013-05-01)

Generative Live Music-making Using Autoregressive Time Series Models: Melodies and Beats
מאת: Roger T.Dean
יצא לאור: (2017-03-01)

Application of vector autoregressive model in multiple time series /
מאת: Zuharah Jaafar, 1985-, et al.
יצא לאור: (2012)

Bayesian vector autoregression time series forecasting model
מאת: Chen, Wen.
יצא לאור: (2008)

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יצא לאור: (2023-10-01)

Autoregressive Times Series Methods for Time Domain Astronomy
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יצא לאור: (2018-08-01)

Autoregressive Models Applied to Time-Series Data in Veterinary Science
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יצא לאור: (2020-09-01)

Anomaly detection in networks with application to financial transaction networks
מאת: Elliott, A, et al.
יצא לאור: (2019)

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יצא לאור: (2021-10-01)

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Likelihood Inference for Generalized Integer Autoregressive Time Series Models
מאת: Harry Joe
יצא לאור: (2019-10-01)

Restricted Empirical Likelihood Estimation for Time Series Autoregressive Models
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Core-periphery structure in directed networks
מאת: Elliott, A, et al.
יצא לאור: (2020)

A Dirichlet Autoregressive Model for the Analysis of Microbiota Time-Series Data
מאת: I. Creus-Martí, et al.
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מאת: Akifumi Okuno, et al.
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Assessing Deep Generative Models on Time Series Network Data
מאת: Muhammad Haris Naveed, et al.
יצא לאור: (2022-01-01)

A Markovian Entropy Measure for the Analysis of Calcium Activity Time Series.
מאת: John P Marken, et al.
יצא לאור: (2016-01-01)

Application of vector autoregressive model in multiple time series [electronic resource] /
מאת: Zuharah Jaafar, 1985-
יצא לאור: (2012)

Robustness of Forecasting for Autoregressive Time Series with Bilinear Distortions
מאת: Yuriy Kharin, et al.
יצא לאור: (2016-04-01)

Network-based time series modeling for COVID-19 incidence in the Republic of Ireland
מאת: Armbruster, S, et al.
יצא לאור: (2024)

Forecasting time series of the market indicators based on a nonlinear autoregressive neural network
מאת: Denis V. Domashchenko, et al.
יצא לאור: (2017-07-01)

Nonlinear Autoregressive Neural Network and Extended Kalman Filters for Prediction of Financial Time Series
מאת: Ghassane Benrhmach, et al.
יצא לאור: (2020-01-01)

Local Functional Coefficient Autoregressive Model for Multistep Prediction of Chaotic Time Series
מאת: Liyun Su, et al.
יצא לאור: (2015-01-01)

SSSNET: semi-supervised signed network clustering
מאת: He, Y, et al.
יצא לאור: (2022)

Bias in the age of generative AI: a deep dive into autoregressive model fairness
מאת: Ng, Darren Joon Kai
יצא לאור: (2024)

Self-supervised autoregressive domain adaptation for time series data
מאת: Ragab, Mohamed, et al.
יצא לאור: (2023)

Performance of modeling time series using nonlinear autoregressive with eXogenous input (NARX) in the network traffic forecasting
מאת: Haviluddin Haviluddin, et al.
יצא לאור: (2015)

Quantum impurity models coupled to Markovian and non-Markovian baths
מאת: Schiro, M, et al.
יצא לאור: (2019)

Unveiling the Markovian to non-Markovian transition with quantum collision models
מאת: Willames F. Magalhães, et al.
יצא לאור: (2023-05-01)

Discrete-event simulation of network reliability and Markovian models /
מאת: 342366 Kim, J., et al.

Streamflow time series forecasting using autoregressive integrated moving-average and artificial neural network /
מאת: Muhammad Reza, 1988- author, et al.
יצא לאור: (2013)