Fetching the paper…
Reading the bibliography…
Multivariate time series forecasting is an important machine learning problem across many domains, including predictions of solar plant energy output, electricity consumption, and traffic jam situation.
Distribution of residual autocorrelations in autoregressive-integrated moving average time series models
G. E. Box and D. A. Pierce · 1970
Earlier work this paper cites.
General exponential smoothing and the equivalent arma process
E. McKenzie · 1984
Earlier work this paper cites.
Finding structure in time
J. L. Elman · 1990
Earlier work this paper cites.
Recurrent networks and narma modeling
J. Connor, L. E. Atlas, and D. R. Martin · 1991
Earlier work this paper cites.
Time series analysis
J. D. Hamilton · 1994
Earlier work this paper cites.
Convolutional networks for images, speech, and time series
Y. LeCun and Y. Bengio · 1995
Earlier work this paper cites.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Support vector method for function approximation, regression estimation, and signal processing
V. Vapnik, S. E. Golowich, A. Smola, et al · 1997
Earlier work this paper cites.
Forecasting with artificial neural networks:: The state of the art
G. Zhang, B. E. Patuwo, and M. Y. Hu · 1998
Earlier work this paper cites.
Support vector machine with adaptive parameters in financial time series forecasting
L.-J. Cao and F. E. H. Tay · 2003
Earlier work this paper cites.
Financial time series forecasting using support vector machines
K.-j. Kim · 2003
Earlier work this paper cites.
Time series forecasting using a hybrid arima and neural network model
G. P. Zhang · 2003
Earlier work this paper cites.
New introduction to multiple time series analysis
H. Lütkepohl · 2005
Cited alongside, same era.
Hybrid neural network models for hydrologic time series forecasting
A. Jain and A. M. Kumar · 2007
Cited alongside, same era.
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
G. Hinton, L. Deng, D. Yu, G. E. Dahl, A.-r. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, et al · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Bayesian inference and learning in gaussian process state-space models with particle mcmc
R. Frigola, F. Lindsten, T. B. Schön, and C. E. Rasmussen · 2013
Cited alongside, same era.
Gaussian processes for time-series modelling
S. Roberts, M. Osborne, M. Ebden, S. Reece, N. Gibson, and S. Aigrain · 2013
Learning to diagnose with lstm recurrent neural networks
Z. C. Lipton, D. C. Kale, C. Elkan, and R. Wetzell · 2015
Later among the works it cites.
Robust estimation of transition matrices in high dimensional heavy-tailed vector autoregressive processes
H. Qiu, S. Xu, F. Han, H. Liu, and B. Caffo · 2015
Later among the works it cites.
R. K. Srivastava, K. Greff, and J. Schmidhuber · 2015
Later among the works it cites.
Deep convolutional neural networks on multichannel time series for human activity recognition
J. B. Yang, M. N. Nguyen, P. P. San, X. L. Li, and S. Krishnaswamy · 2015
Later among the works it cites.
Recurrent neural networks for multivariate time series with missing values
Z. Che, S. Purushotham, K. Cho, D. Sontag, and Y. Liu · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2014
Cited alongside, same era.
Empirical evaluation of gated recurrent neural networks on sequence modeling
J. Chung, C. Gulcehre, K. Cho, and Y. Bengio · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
Cited alongside, same era.
Forecasting macroeconomic time series: Lasso-based approaches and their forecast combinations with dynamic factor models
J. Li and W. Chen · 2014
Cited alongside, same era.
Time series analysis: forecasting and control
G. E. Box, G. M. Jenkins, G. C. Reinsel, and G. M. Ljung · 2015
Cited alongside, same era.
Bayesian Time Series Learning with Gaussian Processes
R. Frigola-Alcade · 2015
Cited alongside, same era.
Later among the works it cites.
Nonlinear dynamic boltzmann machines for time-series prediction
S. Dasgupta and T. Osogami · 2016
Later among the works it cites.
Deep, convolutional, and recurrent models for human activity recognition using wearables
N. Y. Hammerla, S. Halloran, and T. Ploetz · 2016
Later among the works it cites.
Temporal convolutional networks: A unified approach to action segmentation
C. Lea, R. Vidal, A. Reiter, and G. D. Hager · 2016
Later among the works it cites.
Estimating structured vector autoregressive model
I. Melnyk and A. Banerjee · 2016
Later among the works it cites.
Temporal regularized matrix factorization for high-dimensional time series prediction
H.-F. Yu, N. Rao, and I. S. Dhillon · 2016
Later among the works it cites.
Deep learning: A generic approach for extreme condition traffic forecasting
R. Yu, Y. Li, C. Shahabi, U. Demiryurek, and Y. Liu · 2017
Closest in time.