Time Series Regression
29 papers with code • 3 benchmarks • 6 datasets
Predicting one or more scalars for an entire time series example.
Benchmarks
These leaderboards are used to track progress in Time Series Regression
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
Datasets
Appliances Energy
MLO-Cn2
Most implemented papers
Conformal Prediction Intervals with Temporal Dependence
zlin7/cptd
•
•
We focus on the task of constructing valid prediction intervals (PIs) in time series regression with a cross-section.
Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework
We use Bayesian Evidential Learning (BEL), a Monte Carlo-based training approach, to optimize the design of a 4D temperature field monitoring experiment.
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities
In this paper, a Transformer-based AI system for emerging smart cities is proposed.
On the Soundness of XAI in Prognostics and Health Management (PHM)
DatrikIntelligence/SoundnessXAI
•
•
This work presents a critical and comparative revision on a number of XAI methods applied on time series regression model for PM.
On the Soundness of XAI in Prognostics and Health Management (PHM)
DatrikIntelligence/SoundnessXAI
•
•
Information (MDPI) 2023
This paper presents a critical and comparative revision on a number of explainable AI (XAI) methods applied on time series regression models for PM.
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
The rapid progress of Artificial Intelligence research came with the development of increasingly complex deep learning models, leading to growing challenges in terms of computational complexity, energy efficiency and interpretability.
Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series Input
This paper presents a case study of the robustness verification approach for time series regression NNs (TSRegNN) using set-based formal methods.
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization
Based on this, we propose a relative structural entropy-based position encoding and a multi-head attention masking scheme based on multi-layer encoding trees.
Effective Benchmarks for Optical Turbulence Modeling
Effective modeling of optical turbulence strength is critical for the development and deployment of these systems.
Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis
As the conversation around using geoengineering to combat climate change intensifies, it is imperative to engage the public and deeply understand their perspectives on geoengineering research, development, and potential deployment.
