Non-Stationary Time Series
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Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models
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Stationarity-Aware Retrieval-Augmented Time Series Forecasting
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InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs
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Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting
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FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting
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GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis
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Unified Geometry-Guided ML-FTLE for Tracking Transient Chaos from Scalar Time Series
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Unified Geometry-Guided ML-FTLE for Tracking Transient Chaos from Scalar Time Series
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Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families
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