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Time Series Analysis

826 directly classified papers

Papers per year

Papers

CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series AAAI 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NIPS 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks NIPS 2024
Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint) IJCAI 2024
SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation IJCAI 2024
Cross-Domain Contrastive Learning for Time Series Clustering AAAI 2024
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting NIPS 2024
Multi-resolution Time-Series Transformer for Long-term Forecasting AISTATS 2024
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NIPS 2024
Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management AAAI 2024
Reinforced Cross-Domain Knowledge Distillation on Time Series Data NIPS 2024
Adaptive Discretization for Event PredicTion (ADEPT) AISTATS 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods IJCAI 2024
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting IJCAI 2024
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection NIPS 2024
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series IJCAI 2024
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations NIPS 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NIPS 2024
When are dynamical systems learned from time series data statistically accurate? NIPS 2024
Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis EACL 2024
Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024