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[1] Wu Meng,et al. Application of Support Vector Machines in Financial Time Series Forecasting , 2007 .
[2] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[3] G. Moody,et al. Predicting in-hospital mortality of ICU patients: The PhysioNet/Computing in cardiology challenge 2012 , 2012, 2012 Computing in Cardiology.
[4] Sridha Sridharan,et al. Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data , 2014, 2014 IEEE International Conference on Data Mining.
[5] Yoshua Bengio,et al. A Recurrent Latent Variable Model for Sequential Data , 2015, NIPS.
[6] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[7] Silvio Savarese,et al. Social LSTM: Human Trajectory Prediction in Crowded Spaces , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Yisong Yue,et al. Coordinated Multi-Agent Imitation Learning , 2017, ICML.
[9] Thomas Bartz-Beielstein,et al. imputeTS: Time Series Missing Value Imputation in R , 2017, R J..
[10] Yedid Hoshen,et al. VAIN: Attentional Multi-agent Predictive Modeling , 2017, NIPS.
[11] Jianbo Shi,et al. Predicting Behaviors of Basketball Players from First Person Videos , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Christopher Burgess,et al. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework , 2016, ICLR 2016.
[13] Austin Basye,et al. Physics-Based Modeling of Pass Probabilities in Soccer , 2017 .
[14] Yisong Yue,et al. Data-Driven Ghosting using Deep Imitation Learning , 2017 .
[15] Ying Zhang,et al. Multivariate Time Series Imputation with Generative Adversarial Networks , 2018, NeurIPS.
[16] Yuka Kato,et al. Predicting a Pedestrian Trajectory Using Seq2Seq for Mobile Robot Navigation , 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.
[17] Razvan Pascanu,et al. Relational inductive biases, deep learning, and graph networks , 2018, ArXiv.
[18] Shimon Whiteson,et al. Counterfactual Multi-Agent Policy Gradients , 2017, AAAI.
[19] Wei Cao,et al. BRITS: Bidirectional Recurrent Imputation for Time Series , 2018, NeurIPS.
[20] Andrew M. Dai,et al. MaskGAN: Better Text Generation via Filling in the ______ , 2018, ICLR.
[21] Yan Liu,et al. Recurrent Neural Networks for Multivariate Time Series with Missing Values , 2016, Scientific Reports.
[22] Tuomas Sandholm,et al. Deep Counterfactual Regret Minimization , 2018, ICML.
[23] Yisong Yue,et al. NAOMI: Non-Autoregressive Multiresolution Sequence Imputation , 2019, NeurIPS.
[24] Yasutoshi Makino,et al. Prediction of Volleyball Trajectory Using Skeletal Motions of Setter Player , 2019, AH.
[25] Xiaojie Yuan,et al. E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation , 2019, IJCAI.
[26] Jinsung Yoon,et al. Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks , 2017, IEEE Transactions on Biomedical Engineering.
[27] Alexander G. Schwing,et al. Diverse Generation for Multi-Agent Sports Games , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Ahmet Murat Ozbayoglu,et al. Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 , 2019, Appl. Soft Comput..
[29] Masayoshi Tomizuka,et al. EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning , 2020, NeurIPS.
[30] Zhihai He,et al. Reciprocal Learning Networks for Human Trajectory Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Dariu M. Gavrila,et al. Human motion trajectory prediction: a survey , 2019, Int. J. Robotics Res..
[32] Michael A. Alcorn,et al. baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents , 2021, ArXiv.
[33] Henry Leung,et al. A Review of Deep Learning Models for Time Series Prediction , 2019, IEEE Sensors Journal.
[34] Javier Alonso-Mora,et al. Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments , 2021, IEEE Robotics and Automation Letters.
[35] Slobodan Vucetic,et al. Multi-Modal Trajectory Prediction of NBA Players , 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).
[36] Anh Nguyen,et al. baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling , 2021, ArXiv.