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Time Series Analysis

826 directly classified papers

Papers per year

Papers

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs AAAI 2025
SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity CVPR 2025
ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation JMLR 2025
A Practical Approach to Causal Inference over Time AAAI 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025
DyCAST: Learning Dynamic Causal Structure from Time Series ICLR 2025
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space AAAI 2025
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting IJCAI 2025
Diffusion Guided Propagation Augmentation for Popularity Prediction IJCAI 2025
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting IJCAI 2025
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting AAAI 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025
Latent Process Models for Functional Network Data JMLR 2025
Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract) AAAI 2025
aeon: a Python Toolkit for Learning from Time Series JMLR 2024
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024
Adaptive Discretization for Event PredicTion (ADEPT) AISTATS 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024
Multi-resolution Time-Series Transformer for Long-term Forecasting AISTATS 2024
Low-Rank Matrix Estimation in the Presence of Change-Points JMLR 2024
Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series JMLR 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024
Are Language Models Actually Useful for Time Series Forecasting? NIPS 2024
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection NIPS 2024