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Time Series Analysis

826 directly classified papers

Papers per year

Papers

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting NIPS 2024
Low-Rank Matrix Estimation in the Presence of Change-Points JMLR 2024
Adaptive Discretization for Event PredicTion (ADEPT) AISTATS 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NIPS 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise AAAI 2024
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NIPS 2024
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NIPS 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NIPS 2024
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NIPS 2024
Empowering Time Series Analysis with Large Language Models: A Survey IJCAI 2024
Towards a Quantitative Analysis of Coarticulation with a Phoneme-to-Articulatory Model INTERSPEECH 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis NIPS 2024
Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting IJCAI 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NIPS 2024
aeon: a Python Toolkit for Learning from Time Series JMLR 2024
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series IJCAI 2024
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems AAAI 2024