📉 Time Series - mando · Scour

TopoPrimer: The Missing Topological Context in Forecasting Models 🤖Machine Learning

Quantifying the Risk-Return Tradeoff in Forecasting 📈Prometheus

Yield Curve Forecasting using Machine Learning and Econometrics: A Comparative Analysis 🤖Machine Learning

From Observations to States: Latent Time Series Forecasting 🤖LLM

Amortized Neural Clustering of Time Series based on Statistical Features 🤖Machine Learning

Don't Learn the Shape: Forecasting Periodic Time Series by Rank-1 Decomposition 🔍Vector Search

A Beta-GAM Hidden Markov Model for Proportion Time Series 🤖Machine Learning

White noise testing for functional time series via functional quantile autocorrelation λFunctional Programming

Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation 🤖LLM

Benchmarking Transformer and xLSTM for Time-Series Forecasting of Heat Consumption 💬LLMs

Fortifying Time Series: DTW-Certified Robust Anomaly Detection 📊Data Science

STEPS: A Temporal Smooth Error Propagation Solver on the Manifolds for Test-Time Adaptation in Time Series Forecasting 🤖Machine Learning

Measuring Tail Dependence in Linear Processes: Theory and Empirics 📊Data Science

A Generative High Quantile Homogeneity Test Using Bahadur Representation for Heteroskedastic High Quantile Regression of Tail Dependent Time Series 📊Data Science

LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling 🤖Machine Learning

PrismNet: Viewing Time Series Through a Multi-Modal Prism for Interpretable Power Load Forecasting 📈Prometheus

Generative Modeling of Approximately Periodic Time Series by a Posterior-Weighted Gaussian Process 🤖LLM

Multi-Stage Prototype Learning for Interpretable Time Series Classification 🤖Machine Learning

Rolling-Origin Conformal Prediction under Local Stationarity and Weak Dependence 📈Prometheus

Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration 🤖Machine Learning

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