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Showing 2551–2600 of 9169 papers

TitleStatusHype
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications—0
Interactive Counterfactual Generation for Univariate Time Series—0
Towards Foundation Models for the Industrial Forecasting of Chemical Kinetics—0
Deep Learning-based Classification of Dementia using Image Representation of Subcortical Signals—0
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting—0
Unlocking the Power of LSTM for Long Term Time Series Forecasting—0
Causality-Inspired Models for Financial Time Series Forecasting—0
PLUTUS: A Well Pre-trained Large Unified Transformer can Unveil Financial Time Series Regularities—0
Demystifying the Communication Characteristics for Distributed Transformer Models—0
Agentic Retrieval-Augmented Generation for Time Series Analysis—0
Enhancing Startup Success Predictions in Venture Capital: A GraphRAG Augmented Multivariate Time Series Method—0
A Benchmark Time Series Dataset for Semiconductor Fabrication Manufacturing Constructed using Component-based Discrete-Event Simulation Models—0
Time Series Analysis by State Space Learning—0
Beam Prediction based on Large Language Models—0
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series—0
DeNOTS: Stable Deep Neural ODEs for Time Series—0
System States Forecasting of Microservices with Dynamic Spatio-Temporal DataCode0
Classification of High-dimensional Time Series in Spectral Domain using Explainable Features—0
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural NetworksCode0
RandomNet: Clustering Time Series Using Untrained Deep Neural NetworksCode0
Localized Sparse Principal Component Analysis of Multivariate Time Series in Frequency Domain—0
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining—0
LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language ModelsCode0
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust AnalysisCode0
Leveraging Priors via Diffusion Bridge for Time Series Generation—0
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection—0
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series—0
Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering—0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach—0
Change-Point Detection in Time Series Using Mixed Integer Programming—0
Strong denoising of financial time-series—0
An End-to-End Model for Time Series Classification In the Presence of Missing Values—0
Predicting Chaotic System Behavior using Machine Learning Techniques—0
Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine LearningCode0
An Evaluation of Standard Statistical Models and LLMs on Time Series ForecastingCode0
ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series ExperimentsCode0
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks—0
Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon—0
Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection—0
Inter-Series Transformer: Attending to Products in Time Series Forecasting—0
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks—0
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions—0
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series ForecastingCode0
Comparative analysis of stationarity for Bitcoin and the S&P500—0
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNsCode0
Can LLMs Serve As Time Series Anomaly Detectors?—0
Spacecraft inertial parameters estimation using time series clustering and reinforcement learning—0
Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer—0
RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms—0
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