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Showing 126–150 of 9169 papers

TitleStatusHype
Analysis of Distributional Dynamics for Repeated Cross-Sectional and Intra-Period Observations—0
Estimation methods of Matrix-valued AR model—0
Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines—0
MoTime: A Dataset Suite for Multimodal Time Series Forecasting—0
Sonnet: Spectral Operator Neural Network for Multivariable Time Series ForecastingCode1
Robust Multi-Modal Forecasting: Integrating Static and Dynamic FeaturesCode0
Human in the Loop Adaptive Optimization for Improved Time Series ForecastingCode0
Adaptive stable distribution and Hurst exponent by method of moments moving estimator for nonstationary time series—0
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting—0
Text embedding models can be great data engineers—0
Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs—0
Assimilative Causal Inference—0
Byte Pair Encoding for Efficient Time Series Forecasting—0
CRAFT: Time Series Forecasting with Cross-Future Behavior AwarenessCode0
Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions—0
This Time is Different: An Observability Perspective on Time Series Foundation ModelsCode3
Challenges and Limitations in the Synthetic Generation of mHealth Sensor Data—0
MSDformer: Multi-scale Discrete Transformer For Time Series Generation—0
CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series ClusteringCode0
A system identification approach to clustering vector autoregressive time series—0
Graph Neural Networks Based Anomalous RSSI Detection—0
ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model—0
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction—0
Panda: A pretrained forecast model for universal representation of chaotic dynamicsCode2
Hierarchical Representations for Evolving Acyclic Vector Autoregressions (HEAVe)—0
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