Sparse vector autoregressive modeling, Journal of Computational and Graphical Statistics, vol.25, issue.4, pp.1077-1096, 2016. ,
Causal reasoning in graphical time series models, 2012. ,
Time-series data mining, ACM Computing Surveys (CSUR), vol.45, issue.1, p.12, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-01577883
Sparse causal discovery in multivariate time series, Causality: Objectives and Assessment, pp.97-106, 2010. ,
Categorical reparameterization with gumbel-softmax, 2016. ,
Discrete autoencoders for sequence models, 2018. ,
Auto-encoding variational bayes, 2013. ,
, Neural relational inference for interacting systems, 2018.
The neural autoregressive distribution estimator, Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, pp.29-37, 2011. ,
, Towards binary-valued gates for robust lstm training, 2018.
Challenging common assumptions in the unsupervised learning of disentangled representations, 2018. ,
, Learning sparse neural networks through l_0 regularization, 2017.
, Mutual posterior-divergence regularization for variational autoencoders, 2019.
The concrete distribution: A continuous relaxation of discrete random variables, 2016. ,
Regularizing and optimizing lstm language models, 2017. ,
Long short-term memory recurrent neural network architectures for large scale acoustic modeling, Fifteenth annual conference of the international speech communication association, 2014. ,
A simple neural network module for relational reasoning, Advances in neural information processing systems, pp.4967-4976, 2017. ,
Statsmodels: Econometric and statistical modeling with python, Proceedings of the 9th Python in Science Conference, vol.57, p.61, 2010. ,
Improving variational encoder-decoders in dialogue generation, Thirty-Second AAAI Conference on Artificial Intelligence, 2018. ,
Vector autoregression and causality: a theoretical overview and simulation study, Econometric reviews, vol.13, issue.2, pp.259-285, 1994. ,
Recent advances in autoencoder-based representation learning, 2018. ,
Sparse granger causality graphs for human action classification, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp.3374-3377, 2012. ,
, Ilya Sutskever, and Oriol Vinyals. Recurrent neural network regularization, 2014.