Continuous Prediction

Continuous prediction focuses on forecasting values not at discrete time points, but across a continuous time domain, improving upon traditional methods that rely on fixed intervals. Current research emphasizes integrating diverse data sources, such as textual information and sensor readings, into these models, often employing neural ordinary differential equations, recurrent graph neural networks, and other advanced architectures to handle complex, asynchronous data streams. This approach is proving valuable in diverse fields, including finance, healthcare (predicting patient outcomes), and robotics (controlling movements), by enabling more accurate and timely predictions than traditional methods. The resulting improvements in prediction accuracy and timeliness have significant implications for decision-making in these and other application areas.

Papers

November 18, 2024

Pairwise Markov Chains for Volatility Forecasting
Elie Azeraf
Hidden Markov Model Probabilistic Graphical Model Pairwise Learning Volatility Forecasting Continuous Prediction

July 4, 2024

Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models
Litton Jose Kurisinkel, Pruthwik Mishra, Yue Zhang
Data Driven Time Series Prediction Sentiment Analysis Task Real World Time Series Time Series Model Financial Forecasting Continuous Prediction

May 27, 2024

Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong, Aaron Schein, Yixin Wang, Nikhil Garg
Discretization Error Continuous Prediction Population Prediction

May 19, 2024

Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records
Mireia Hernandez Caralt, Clarence Boon Liang Ng, Marek Rei
Electronic Health Record Clinical Note ICD Code Predictive Healthcare Continuous Prediction

January 17, 2024

Space and Time Continuous Physics Simulation From Partial Observations
Janny Steeven, Nadri Madiha, Digne Julie, Wolf Christian
Deep Space Fluid Dynamic Physical Simulation Differentiable Physic Partial Observation Large Scale Machine Learning Numerical Scheme Continuous Prediction

July 25, 2023

Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG
Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang
Learning Method Human Gait Functional Muscle Network Continuous Prediction Joint Trajectory

July 25, 2022

Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations
Achkan Salehi, Steffen Rühl, Stephane Doncieux
Real World Model Based Reinforcement Learning Neural Ordinary Differential Equation Robot Simulation Adaptive Model Continuous Prediction

June 1, 2022

Continuous Prediction with Experts' Advice
Victor Sanches Portella, Christopher Liaw, Nicholas J. A. Harvey
Expert Knowledge Regret Bound Discrete Time Cumulative Regret Continuous Time Stochastic Advice Quality Continuous Time Algorithm Continuous Prediction