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Showing 1051–1100 of 9169 papers

TitleStatusHype
Recurrent Neural Goodness-of-Fit Test for Time SeriesCode0
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time SeriesCode0
Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer for Long-Term Wind Power PredictionCode0
FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial ModelingCode0
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone—0
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold LearningCode0
Statistical testing on generative AI anomaly detection tools in Alzheimer's Disease diagnosis—0
Beyond Speech and More: Investigating the Emergent Ability of Speech Foundation Models for Classifying Physiological Time-Series Signals—0
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection—0
Towards Neural Scaling Laws for Time Series Foundation ModelsCode1
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series—0
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction—0
Discovering Leitmotifs in Multidimensional Time SeriesCode0
Revisited Large Language Model for Time Series Analysis through Modality Alignment—0
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context ModelingCode0
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal DynamicsCode0
Context Matters: Leveraging Contextual Features for Time Series Forecasting—0
Constrained Posterior Sampling: Time Series Generation with Hard Constraints—0
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency PatchingCode2
Data-Driven Cellular Network Selector for Vehicle Teleoperations—0
Spatial-Temporal Bearing Fault Detection Using Graph Attention Networks and LSTM—0
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba—0
Time-Series Foundation AI Model for Value-at-Risk ForecastingCode0
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations—0
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting—0
TraM : Enhancing User Sleep Prediction with Transformer-based Multivariate Time Series Modeling and Machine Learning EnsemblesCode1
LLM-Mixer: Multiscale Mixing in LLMs for Time Series ForecastingCode1
Time Series Viewmakers for Robust Disruption Prediction—0
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal ContrastCode0
Statistical Properties of Deep Neural Networks with Dependent Data—0
SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity RecognitionCode2
GIFT-Eval: A Benchmark For General Time Series Forecasting Model EvaluationCode3
Transparent Networks for Multivariate Time SeriesCode0
Building a Multivariate Time Series Benchmarking Datasets Inspired by Natural Language Processing (NLP)—0
Adaptive Probabilistic ODE Solvers Without Adaptive Memory RequirementsCode2
ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge—0
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of ExpertsCode5
Can GANs Learn the Stylized Facts of Financial Time Series?—0
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution ShiftCode2
WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?—0
Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid—0
Timeseria: an object-oriented time series processing library—0
Graph Neural Alchemist: An innovative fully modular architecture for time series-to-graph classification—0
Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space ModelsCode1
Recovering complex ecological dynamics from time series using state-space universal dynamic equationsCode1
Underutilized land and sustainable development: effects on employment, economic output, and mitigation of CO2 emissions—0
Convolutional Neural Network Design and Evaluation for Real-Time Multivariate Time Series Fault Detection in Spacecraft Attitude Sensors—0
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly DetectionCode0
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series—0
Inferring birth versus death dynamics for ecological interactions in stochastic heterogeneous populations—0
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