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Time Series Analysis

832 papers

Papers per year

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64
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Papers

A Lightweight Sparse Interaction Network for Time Series Forecasting AAAI 2025
A Practical Approach to Causal Inference over Time AAAI 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space AAAI 2025
Federated Foundation Models on Heterogeneous Time Series AAAI 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences AAAI 2025
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning AAAI 2025
Auto-Regressive Moving Diffusion Models for Time Series Forecasting AAAI 2025
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs AAAI 2025
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification AAAI 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts AAAI 2025
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting AAAI 2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment AAAI 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning AAAI 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting AAAI 2025
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting AAAI 2025
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis AAAI 2025