SOTAVerified

Time Series Forecasting

Time Series Forecasting is the task of fitting a model to historical, time-stamped data in order to predict future values. Traditional approaches include moving average, exponential smoothing, and ARIMA, though models as various as RNNs, Transformers, or XGBoost can also be applied. The most popular benchmark is the ETTh1 dataset. Models are typically evaluated using the Mean Square Error (MSE) or Root Mean Square Error (RMSE).

( Image credit: ThaiBinh Nguyen )

Papers

Showing 351400 of 1609 papers

TitleStatusHype
LSEAttention is All You Need for Time Series Forecasting0
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series ForecastingCode2
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection0
Gradient-free training of recurrent neural networksCode0
Generative forecasting of brain activity enhances Alzheimer's classification and interpretation0
Sequential Order-Robust Mamba for Time Series ForecastingCode0
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting0
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series ForecastingCode1
FlexTSF: A Universal Forecasting Model for Time Series with Variable RegularitiesCode1
A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification0
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions0
A Temporal Linear Network for Time Series ForecastingCode0
FACTS: A Factored State-Space Framework For World ModellingCode1
Introducing Spectral Attention for Long-Range Dependency in Time Series ForecastingCode0
Deconfounding Time Series Forecasting0
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting0
Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series ForecastingCode1
PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal ModulationCode0
A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges0
Large Language Models for Financial Aid in Financial Time-series ForecastingCode1
Context is Key: A Benchmark for Forecasting with Essential Textual InformationCode2
Retrieval-Augmented Diffusion Models for Time Series ForecastingCode2
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting0
Self-Supervised Learning for Time Series: A Review & Critique of FITSCode0
Predicting Company Growth by Econophysics informed Machine Learning0
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar MemoriesCode2
Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading0
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series ForecastingCode1
LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series ForecastingCode1
Forecasting Opioid Incidents for Rapid Actionable Data for Opioid Response in Kentucky0
Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting0
HiPPO-KAN: Efficient KAN Model for Time Series Analysis0
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting0
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study0
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold LearningCode0
FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial ModelingCode0
Context Matters: Leveraging Contextual Features for Time Series Forecasting0
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting0
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba0
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations0
LLM-Mixer: Multiscale Mixing in LLMs for Time Series ForecastingCode1
GIFT-Eval: A Benchmark For General Time Series Forecasting Model EvaluationCode3
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution ShiftCode2
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time InterventionsCode0
Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space ModelsCode1
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting0
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal RepresentationsCode5
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks0
Less is more: Embracing sparsity and interpolation with Esiformer for time series forecastingCode0
Navigating Inflation in Ghana: How Can Machine Learning Enhance Economic Stability and Growth Strategies0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InformerMSE0.88Unverified
2QuerySelectorMSE0.85Unverified
3TransformerMSE0.83Unverified
4AarenMSE0.65Unverified
5RPMixerMSE0.52Unverified
6MOIRAILargeMSE0.51Unverified
7ATFNetMSE0.51Unverified
8AutoformerMSE0.51Unverified
9SCINetMSE0.5Unverified
10S-MambaMSE0.49Unverified
#ModelMetricClaimedVerifiedStatus
1QuerySelectorMSE1.12Unverified
2TransformerMSE1.11Unverified
3InformerMSE0.94Unverified
4GLinearMSE0.59Unverified
5SCINetMSE0.54Unverified
6MoLE-DLinearMSE0.51Unverified
7PRformerMSE0.49Unverified
8TEFNMSE0.48Unverified
9DLinearMSE0.47Unverified
10FiLMMSE0.47Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerMSE2.66Unverified
2QuerySelectorMSE2.32Unverified
3InformerMSE1.67Unverified
4DLinearMSE0.45Unverified
5TEFNMSE0.42Unverified
6MoLE-DLinearMSE0.42Unverified
7FiLMMSE0.38Unverified
8MoLE-RLinearMSE0.37Unverified
9SCINetMSE0.37Unverified
10PRformerMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerMSE3.18Unverified
2QuerySelectorMSE3.07Unverified
3InformerMSE2.34Unverified
4MoLE-DLinearMSE0.61Unverified
5DLinearMSE0.61Unverified
6SCINetMSE0.48Unverified
7FiLMMSE0.44Unverified
8TEFNMSE0.43Unverified
9TiDEMSE0.42Unverified
10MoLE-RLinearMSE0.41Unverified
#ModelMetricClaimedVerifiedStatus
1MoLE-DLinearMSE0.45Unverified
2TEFNMSE0.43Unverified
3FiLMMSE0.41Unverified
4PatchTST/64MSE0.41Unverified
5TiDEMSE0.41Unverified
6NLinearMSE0.41Unverified
7DiPE-LinearMSE0.41Unverified
8DLinearMSE0.41Unverified
9RLinearMSE0.4Unverified
10MoLE-RLinearMSE0.4Unverified
#ModelMetricClaimedVerifiedStatus
1DLinearMSE0.38Unverified
2TEFNMSE0.38Unverified
3MoLE-DLinearMSE0.36Unverified
4FiLMMSE0.36Unverified
5NLinearMSE0.34Unverified
6PatchTST/64MSE0.34Unverified
7MoLE-RLinearMSE0.34Unverified
8LTBoost (drop_last=false)MSE0.33Unverified
9PRformerMSE0.33Unverified
10TiDEMSE0.33Unverified
#ModelMetricClaimedVerifiedStatus
1DLinearMSE0.29Unverified
2TEFNMSE0.29Unverified
3MoLE-DLinearMSE0.29Unverified
4FiLMMSE0.28Unverified
5NLinearMSE0.28Unverified
6TSMixerMSE0.28Unverified
7DiPE-LinearMSE0.28Unverified
8PatchTST/64MSE0.27Unverified
9MoLE-RLinearMSE0.27Unverified
10TiDEMSE0.27Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.38Unverified
2MoLE-DLinearMSE0.38Unverified
3MoLE-RLinearMSE0.38Unverified
4TiDEMSE0.38Unverified
5FiLMMSE0.37Unverified
6PatchTST/64MSE0.37Unverified
7DiPE-LinearMSE0.37Unverified
8TSMixerMSE0.37Unverified
9RLinearMSE0.37Unverified
10TTMMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.23Unverified
2DLinearMSE0.22Unverified