Time Series Analysis


Time series analysis comprises statistical methods for analyzing a sequence of data points collected over an interval of time to identify interesting patterns and trends.

Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency

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Mar 18, 2025
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Time-varying Factor Augmented Vector Autoregression with Grouped Sparse Autoencoder

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Mar 06, 2025
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TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting

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Mar 07, 2025
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Data Foundations for Large Scale Multimodal Clinical Foundation Models

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Mar 09, 2025
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SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

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Mar 24, 2025
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FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance

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Mar 07, 2025
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Dynamical Mode Recognition of Turbulent Flames in a Swirl-stabilized Annular Combustor by a Time-series Learning Approach

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Mar 17, 2025
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TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress

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Feb 21, 2025
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Spatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chile

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Feb 21, 2025
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Optimal Stochastic Trace Estimation in Generative Modeling

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Feb 26, 2025
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