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TitleStatusHype
Out-of-Distribution Generalization in Time Series: A SurveyCode0
Early Detection of Forest Calamities in Homogeneous Stands -- Deep Learning Applied to Bark-Beetle Outbreaks—0
Augmented Invertible Koopman Autoencoder for long-term time series forecastingCode0
Multi-modal Time Series Analysis: A Tutorial and SurveyCode2
Dynamical Mode Recognition of Turbulent Flames in a Swirl-stabilized Annular Combustor by a Time-series Learning Approach—0
Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression—0
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly DetectionCode0
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables—0
Lithium-ion Battery Capacity Prediction via Conditional Recurrent Generative Adversarial Network-based Time-Series Regeneration—0
How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and OutlookCode2
Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time SeriesCode0
Hierarchical Information-Guided Spatio-Temporal Mamba for Stock Time Series Forecasting—0
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models—0
Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data AnalysisCode1
MobiVital: Self-supervised Time-series Quality Estimation for Contactless Respiration Monitoring Using UWB RadarCode0
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data—0
Mamba time series forecasting with uncertainty quantificationCode1
Deep Learning for Time Series Forecasting: A Survey—0
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers—0
EEG relative phase-based analysis unveils the complexity and universality of human brain dynamics: integrative insights from general anesthesia and ADHD—0
Minimal Time Series TransformerCode0
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics—0
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain—0
Predicting Lifespan of Ground-to-Air Multipath Components in mmWave UAV Channels—0
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization—0
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series ForecastingCode0
Towards Efficient Parametric State Estimation in Circulating Fuel Reactors with Shallow Recurrent Decoder NetworksCode0
Data Driven Decision Making with Time Series and Spatio-temporal Data—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis—0
Personalized Convolutional Dictionary Learning of Physiological Time SeriesCode0
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks—0
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning—0
Enhancing Time Series Forecasting via Logic-Inspired Regularization—0
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models—0
Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA—0
Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction—0
BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series ModelingCode1
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion ModelsCode0
Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature—0
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and ImagesCode3
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM—0
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series ClassificationCode1
Generating Building-Level Heat Demand Time Series by Combining Occupancy Simulations and Thermal Modeling—0
On reconstructing high derivatives of noisy time-series with confidence intervals—0
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster—0
TimeFound: A Foundation Model for Time Series Forecasting—0
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation—0
Coarse graining and reduced order models for plume ejection dynamics—0
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