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Showing 2051–2100 of 9169 papers

TitleStatusHype
Sparse dynamic network reconstruction through L1-regularization of a Lyapunov equation—0
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for ForecastingCode1
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution ShiftsCode0
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition—0
Sentiment-driven prediction of financial returns: a Bayesian-enhanced FinBERT approach—0
RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting—0
A Modular End-to-End Multimodal Learning Method for Structured and Unstructured DataCode0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
A Novel Theoretical Framework for Exponential Smoothing—0
Hyperparameter Tuning MLPs for Probabilistic Time Series ForecastingCode0
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling—0
Inference via Interpolation: Contrastive Representations Provably Enable Planning and InferenceCode1
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records—0
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data—0
Multi-modal Deep Learning—0
Conformal prediction for multi-dimensional time series by ellipsoidal setsCode1
Probing the Robustness of Time-series Forecasting Models with CounterfacTSCode0
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators—0
Towards Controllable Time Series Generation—0
Portraying the Need for Temporal Data in Flood Detection via Sentinel-1—0
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction—0
Matrix-based Prediction Approach for Intraday Instantaneous Volatility Vector—0
Time Weaver: A Conditional Time Series Generation Model—0
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting—0
Trainable Fractional Fourier TransformCode2
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical SystemsCode0
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series—0
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data—0
Soft-constrained Schrodinger Bridge: a Stochastic Control Approach—0
Towards efficient deep autoencoders for multivariate time series anomaly detection—0
Diffusion-TS: Interpretable Diffusion for General Time Series GenerationCode3
Transformer for Times Series: an Application to the S&P500—0
Recency-Weighted Temporally-Segmented Ensemble for Time-Series ModelingCode1
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous VariablesCode1
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series—0
Hybrid Quantum Neural Network Advantage for Radar-Based Drone Detection and Classification in Low Signal-to-Noise RatioCode0
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?Code0
Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification—0
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis—0
A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features—0
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data—0
Predicting UAV Type: An Exploration of Sampling and Data Augmentation for Time Series Classification—0
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance—0
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling—0
Impacts of electric carsharing on a power sector with variable renewablesCode0
UniTS: A Unified Multi-Task Time Series ModelCode4
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous VariablesCode7
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting—0
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series—0
StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifolds—0
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