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Showing 1601–1650 of 9169 papers

TitleStatusHype
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series ClassificationCode0
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series ForecastingCode1
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation—0
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers—0
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptationCode1
Generalization bounds for mixing processes via delayed online-to-PAC conversions—0
TSI-Bench: Benchmarking Time Series ImputationCode3
Delay Embedding Theory of Neural Sequence Models—0
Modeling, Inference, and Prediction in Mobility-Based Compartmental Models for Epidemiology—0
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction—0
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting—0
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction—0
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series DataCode0
SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature EmbeddingsCode0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series ForecastingCode0
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System TelemetryCode0
Universal randomised signatures for generative time series modellingCode0
On when is Reservoir Computing with Cellular Automata Beneficial?—0
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices—0
DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of ExpertsCode1
How & Why To Use Audience Segmentation to Maximize (Listener) Demand Across Digital Music Portfolio—0
Precise analysis of ridge interpolators under heavy correlations -- a Random Duality Theory view—0
Zoom and Shift are All You Need—0
Fredformer: Frequency Debiased Transformer for Time Series ForecastingCode2
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant LearningCode1
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens—0
Entropy-statistical approach to phase-locking detection of pulse oscillations: application for the analysis of biosignal synchronization—0
Time-MMD: Multi-Domain Multimodal Dataset for Time Series AnalysisCode2
Parameter Estimation in Quantum Metrology Technique for Time Series Prediction—0
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series ForecastingCode1
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows—0
Nonlinear time-series embedding by monotone variational inequality—0
DecoR: Deconfounding Time Series with Robust RegressionCode0
Topological Analysis for Detecting Anomalies (TADA) in Time Series—0
Supervised Radio Frequency Interference Detection with SNNs—0
Data Augmentation for Multivariate Time Series Classification: An Experimental Study—0
Electricity Spot Prices Forecasting Using Stochastic Volatility ModelsCode0
Dissecting Multifractal detrended cross-correlation analysisCode0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach—0
Deep Learning to Predict Glaucoma Progression using Structural Changes in the Eye—0
Transformer Conformal Prediction for Time SeriesCode1
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series ForecastingCode1
Hinge-FM2I: An Approach using Image Inpainting for Interpolating Missing Data in Univariate Time Series—0
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal LearningCode1
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks—0
A Language Model-Guided Framework for Mining Time Series with Distributional Shifts—0
Dynamical mixture modeling with fast, automatic determination of Markov chains—0
Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting—0
Denoising-Aware Contrastive Learning for Noisy Time SeriesCode1
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