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Covariate Forecasting: The Next Leap in Time-Series Database Capabilities  📈Time-Series Databases
thuml.github.io·17h·DEV·
Multimodal Forecasting for Commodity Prices Using Spectrogram-Based and Time Series Representations  📉Time Series
arxiv.org·2d·
Mastering Modern Time Series Forecasting [Leanpub PDF/iPad/Kindle]  📈Time-Series Databases
leanpub.com·6d·
AI system can predict seasonal droughts  📊VictoriaMetrics
phys.org·2h·
google-research/timesfm: TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.  📉Time Series
github.com·7h·
Assessing AI powered price forecasting tools in currency markets  💰TigerBeetle
artificialintelligence-news.com·3d·
Forecastability as an Information-Theoretic Limit on Prediction  📉Time Series
arxiv.org·2d·
Central limit theorems for the outputs of fully convolutional neural networks with time series input  🔬Deep Learning
arxiv.org·1d·
VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection  📈Delta Encoding
arxiv.org·2d·
QuitoBench: A High-Quality Open Time Series Forecasting Benchmark  📈Time-Series Databases
arxiv.org·3d·
E-TIDE: Fast, Structure-Preserving Motion Forecasting from Event Sequences  🧭Inertial Navigation
arxiv.org·2d·
Adversarial-Robust Multivariate Time-Series Anomaly Detection via Joint Information Retention  📈Delta Encoding
arxiv.org·3d·
IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection  📉Time Series
arxiv.org·1d·
Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting  ⏰Timely Dataflow
arxiv.org·1d·
A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems  📉Time Series
arxiv.org·6d·
DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting  📈Time-Series Databases
arxiv.org·2d·
SHARP: Short-Window Streaming for Accurate and Robust Prediction in Motion Forecasting  🔍DTrace
arxiv.org·2d·
Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models  📉Time Series
arxiv.org·6d·
DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph  🧮Embeddings
arxiv.org·6d·
Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection  👁️Computer Vision
arxiv.org·6d·

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