time series

SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity CVPR 2025 Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting AAAI 2025 Spectral Differential Network Analysis for High-Dimensional Time Series AISTATS 2025 ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting AAAI 2025 T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models IJCAI 2025 TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting ICML 2025 TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting ICML 2025 TimeInf: Time Series Data Contribution via Influence Functions ICLR 2025 Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025 Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025 Time-series attribution maps with regularized contrastive learning AISTATS 2025 Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025 Transfer Learning for High-dimensional Reduced Rank Time Series Models AISTATS 2025 TS-CLIP: Time Series Understanding by CLIP EMNLP 2025 TSVer: A Benchmark for Fact Verification Against Time-Series Evidence EMNLP 2025 Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery CLeaR 2025 Universality of Real Minimal Complexity Reservoir AAAI 2025 When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series ICML 2025 Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation NeurIPS 2024 A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs UAI 2024 Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NeurIPS 2024 AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification ICLR 2024 An Online Bootstrap for Time Series AISTATS 2024 ANT: Adaptive Noise Schedule for Time Series Diffusion Models NeurIPS 2024 An Unsupervised Approach for Periodic Source Detection in Time Series ICML 2024