Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
cs.CE, cs.LG
Submitted: 2025-02-12
Updated: 2026-09-11
Comments: 39 pages
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Neural Chaos: A Spectral Stochastic Neural Operator
- An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
- Fourier Neural Network Approximation of Transition Densities in Finance
- Neural Spectral Methods: Self-supervised learning in the spectral domain
- Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform
- CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
- WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting
- Stress-testing the coupled behavior of hybrid physics-machine learning climate simulations on an unseen, warmer climate
- Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles
- iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
- KAN: Kolmogorov-Arnold Networks
- Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform
- Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective
- Forecasting Economics and Financial Time Series: ARIMA vs. LSTM
- Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
- Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting
- Deep Time Series Models: A Comprehensive Survey and Benchmark
- Hybrid Physics-ML Modeling for Marine Vehicle Maneuvering Motions in the Presence of Environmental Disturbances
- Transformers in Time Series: A Survey
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