Co-occurring keywords · papers mentioning both
Papers
Non-collective Calibrating Strategy for Time Series Forecasting
IJCAI 2025
Oscillatory State-Space Models
ICLR 2025
Patch-wise Structural Loss for Time Series Forecasting
ICML 2025
PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting
IJCAI 2025
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
ICLR 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
AAAI 2025
QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer
IJCAI 2025
Retrieval-Augmented Forecasting with Tabular Time Series Data
ACL 2025
Retrieval Augmented Time Series Forecasting
ICML 2025
Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models
ACL 2025
Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract)
AAAI 2025
S4M: S4 for multivariate time series forecasting with Missing values
ICLR 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
AAAI 2025
SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
ICLR 2025
Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series
WACV 2025
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
AAAI 2025
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
AAAI 2025
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
AAAI 2025
TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting
IJCAI 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
AAAI 2025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
ICML 2025
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
ICLR 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
ICLR 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
ICLR 2025
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
AAAI 2025