Methods
1,990 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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48
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73
85
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Papers (including subtopics)
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
AAAI 2025
Stream-level Flow Matching with Gaussian Processes
ICML 2025
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
AAAI 2025
Sundial: A Family of Highly Capable Time Series Foundation Models
ICML 2025
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
EMNLP 2025
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
IJCAI 2025
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
AAAI 2025
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection
AAAI 2025
TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting
IJCAI 2025
Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract)
AAAI 2025
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
ICML 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
AAAI 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
AAAI 2025
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
AAAI 2025
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
ICML 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
AAAI 2025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
ICML 2025
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation
AAAI 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
ACL 2025
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
ICML 2025
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
ICML 2025
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
ICLR 2025
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
AAAI 2025
Time-series attribution maps with regularized contrastive learning
AISTATS 2025
Time Series Representations with Hard-Coded Invariances
ICML 2025