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"

20 / 20 papers shown

Title
Generative Bayesian Computation for Maximum Expected Utility Nick Polson Fabrizio Ruggeri Vadim Sokolov 29 1 0 28 Aug 2024
PAMS: Platform for Artificial Market Simulations Masanori Hirano Ryosuke Takata Kiyoshi Izumi 23 2 0 19 Sep 2023
Generative AI for Bayesian Computation Nicholas G. Polson Vadim Sokolov BDL 30 5 0 24 May 2023
Statistical Deep Learning for Spatial and Spatio-Temporal Data C. Wikle A. Zammit‐Mangion BDL 21 45 0 05 Jun 2022
Deep Generative Models for Vehicle Speed Trajectories F. Behnia D. Karbowski Vadim Sokolov 33 1 0 14 Dec 2021
Merging Two Cultures: Deep and Statistical Learning A. Bhadra J. Datta Nicholas G. Polson Vadim Sokolov Jianeng Xu BDL 43 9 0 22 Oct 2021
Clustering of Time Series Data with Prior Geographical Information Reza Asadi Amelia Regan AI4TS 18 2 0 03 Jul 2021
A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules Mehran Taghian A. Asadi Reza Safabakhsh AI4TS 16 1 0 08 Jan 2021
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market Hao Peng Jianxin Li Z. Wang Renyu Yang Mingzhe Liu Mingming Zhang Philip S. Yu Lifang He 3DV 27 26 0 12 Aug 2020
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks M. Dixon AI4TS 18 14 0 09 Apr 2020
Deep Learning for Spatio-Temporal Data Mining: A Survey Senzhang Wang Jiannong Cao Philip S. Yu AI4TS 26 549 0 11 Jun 2019
Deep Fundamental Factor Models M. Dixon Nicholas G. Polson 26 9 0 18 Mar 2019
Deep Learning: Computational Aspects Nicholas G. Polson Vadim Sokolov PINN BDL AI4CE 8 14 0 26 Aug 2018
Deep Learning for Energy Markets Michael Polson Vadim Sokolov AI4TS 9 26 0 16 Aug 2018
Deep Learning Nicholas G. Polson Vadim Sokolov AI4CE BDL 25 1 0 20 Jul 2018
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting Patrick L. McDermott C. Wikle BDL 18 78 0 28 Jun 2018
Deep Reinforcement Learning for Dynamic Urban Transportation Problems Laura Schultz Vadim Sokolov AI4CE 19 12 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 32 96 0 02 Nov 2017
Deep Learning: A Bayesian Perspective Nicholas G. Polson Vadim Sokolov BDL 31 115 0 01 Jun 2017
Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service Eric Horvitz Johnson Apacible Raman Sarin Lin Liao AI4TS 36 192 0 04 Jul 2012