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Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading

27 May 2017

Papers citing "Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading"

22 / 22 papers shown

Title
Predicting the Unpredictable: Reproducible BiLSTM Forecasting of Incident Counts in the Global Terrorism Database (GTD) Oluwasegun Adegoke AI4TS 104 0 0 16 Oct 2025
Bayesian Double Descent Nick Polson Vadim Sokolov 107 1 0 09 Jul 2025
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting Yuqi Li Chuanguang Yang Hansheng Zeng Zeyu Dong Zhulin An Yongjun Xu Yingli Tian Hao Wu AI4TS 226 23 0 27 Jun 2025
Generative Bayesian Computation for Maximum Expected UtilityEntropy (Entropy), 2024 Nick Polson Fabrizio Ruggeri Vadim Sokolov 163 6 0 28 Aug 2024
PAMS: Platform for Artificial Market SimulationsSocial Science Research Network (SSRN), 2023 Masanori Hirano Ryosuke Takata Kiyoshi Izumi 163 5 0 19 Sep 2023
Generative AI for Bayesian ComputationEntropy (Entropy), 2023 Nicholas G. Polson Vadim Sokolov BDL 308 8 0 24 May 2023
Statistical Deep Learning for Spatial and Spatio-Temporal DataAnnual Review of Statistics and Its Application (ARSIA), 2022 C. Wikle A. Zammit‐Mangion BDL 258 59 0 05 Jun 2022
Deep Generative Models for Vehicle Speed Trajectories F. Behnia D. Karbowski Vadim Sokolov 149 2 0 14 Dec 2021
Merging Two Cultures: Deep and Statistical Learning A. Bhadra J. Datta Nicholas G. Polson Vadim Sokolov Jianeng Xu BDL 211 10 0 22 Oct 2021
Clustering of Time Series Data with Prior Geographical Information Reza Asadi Amelia Regan AI4TS 98 3 0 03 Jul 2021
A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules Mehran Taghian A. Asadi Reza Safabakhsh AI4TS 170 2 0 08 Jan 2021
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate MarketIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Hao Peng Jianxin Li Zechuan Wang Renyu Yang Mingzhe Liu Mingming Zhang Philip S. Yu Lifang He 3DV 145 37 0 12 Aug 2020
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks M. Dixon AI4TS 138 17 0 09 Apr 2020
Deep Learning for Spatio-Temporal Data Mining: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Senzhang Wang Jiannong Cao Philip S. Yu AI4TS 279 701 0 11 Jun 2019
Deep Fundamental Factor Models M. Dixon Nicholas G. Polson 207 9 0 18 Mar 2019
Deep Learning: Computational Aspects Nicholas G. Polson Vadim Sokolov PINN BDL AI4CE 132 14 0 26 Aug 2018
Deep Learning for Energy Markets Michael Polson Vadim Sokolov AI4TS 184 27 0 16 Aug 2018
Deep Learning Nicholas G. Polson Vadim Sokolov AI4CE BDL 151 1 0 20 Jul 2018
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting Patrick L. McDermott C. Wikle BDL 214 83 0 28 Jun 2018
Deep Reinforcement Learning for Dynamic Urban Transportation Problems Laura Schultz Vadim Sokolov AI4CE 175 13 0 14 Jun 2018
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data Patrick L. McDermott C. Wikle BDL UQCV 206 107 0 02 Nov 2017
Deep Learning: A Bayesian Perspective Nicholas G. Polson Vadim Sokolov BDL 357 126 0 01 Jun 2017