Prediction Horizon

Prediction horizon, the timeframe over which a model accurately forecasts future events or states, is a critical parameter across diverse scientific and engineering domains. Current research focuses on improving prediction accuracy and efficiency across varying horizons, employing diverse model architectures such as transformers, recurrent neural networks, and convolutional networks, often incorporating techniques like mixture-of-experts and attention mechanisms. These advancements are impacting fields ranging from weather forecasting and financial modeling to robotics and autonomous driving, where accurate, timely predictions are essential for effective decision-making and safety.

Papers

October 11, 2023

ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
Time Series Forecasting Exceptional Point Prediction Horizon Forecast Distribution Point Forecasting

September 28, 2023

Nonlinear MPC design for incrementally ISS systems with application to GRU networks
Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
Application Proficiency Recurrent Neural Network Gated Recurrent Unit Nonlinear Model Predictive Control Prediction Horizon Input to State Closed Loop Stability Nonlinear MPC

September 20, 2023

Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon
Federico Pizarro Bejarano, Lukas Brunke, Angela P. Schoellig
Predictive Control Learning Based Control Policy Prediction Horizon Predictive Safety Filter

September 19, 2023

A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field
MReza Alipour Sormoli, Amir Samadi, Sajjad Mozaffari, Konstantinos Koufos, Mehrdad Dianati, Roger Woodman
Neural Network Trajectory Prediction Automated Driving Motion Prediction Velocity Field Prediction Horizon

May 25, 2023

TLNets: Transformation Learning Networks for long-range time-series prediction
Wei Wang, Yang Liu, Hao Sun
Time Series Prediction Singular Value Decomposition Prediction Horizon Range Time Series Forecasting

March 13, 2023

Inflation forecasting with attention based transformer neural networks
Maximilian Tschuchnig, Petra Tschuchnig, Cornelia Ferner, Michael Gadermayr
Neural Network Transformer Based Human Attention Prediction Horizon

January 26, 2023

Cluster Forming of Multiagent Systems in Rolling Horizon Games with Non-uniform Horizons
Yurid Nugraha, Ahmet Cetinkaya, Tomohisa Hayakawa, Hideaki Ishii, Quanyan Zhu
Consensus Group Decision Cluster Structure Multiagent System Optimal Strategy Prediction Horizon Jamming Attack

October 11, 2022

A generic diffusion-based approach for 3D human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi, Yasamin Medghalchi, Sara Rajabzadeh, Taylor Mordan, Alexandre Alahi
Human Prediction Conditional Diffusion Model 3D Human 3D Human Pose Diffusion Based Prediction Horizon Pose Prediction Pose Forecasting

July 15, 2022

Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia
Alexander G. Sboev, Nikolay A. Kudryshov, Ivan A. Moloshnikov, Saveliy V. Zavertyaev, Aleksandr V. Naumov, Roman B. Rybka
Machine Learning Long Short Term Memory Covid 19 Prediction Horizon New Baseline Russian Medium

June 22, 2022

Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning
Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
Reinforcement Learning Policy Learning Prediction Horizon Multiple Representation

April 1, 2022

Physics Informed Shallow Machine Learning for Wind Speed Prediction
Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolò Pagliana, Alessandro Verri, Andrea Mazzino, Lorenzo Rosasco, Agnese Seminara
Time Series Forecasting Supervised Learning Physic Informed Machine Learning Data Driven Approach Weather Forecasting Wind Speed Prediction Horizon

March 31, 2022

Predicting extreme events from data using deep machine learning: when and where
Junjie Jiang, Zi-Gang Huang, Celso Grebogi, Ying-Cheng Lai
Deep Learning Human Prediction Raw Data Extreme Event Prediction Horizon Prediction Framework

Prediction Horizon

Papers

ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons

Nonlinear MPC design for incrementally ISS systems with application to GRU networks

Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon

A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field

TLNets: Transformation Learning Networks for long-range time-series prediction

Inflation forecasting with attention based transformer neural networks

Cluster Forming of Multiagent Systems in Rolling Horizon Games with Non-uniform Horizons

A generic diffusion-based approach for 3D human pose prediction in the wild

Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia

Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning

Physics Informed Shallow Machine Learning for Wind Speed Prediction

Predicting extreme events from data using deep machine learning: when and where