Applications in time series analysis

A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection

Investigating SINDy As a Tool For Causal Discovery In Time Series Signals

Learning Properties of Holomorphic Neural Networks of Dual Variables

Towards low-power heart rate estimation based on user's demographics and activity level for wearables

Dual-Stage Graph Convolution Network With Graph Learning For Traffic Prediction

Time-varying Signals Recovery via Graph Neural Networks

MULTI-RESOLUTION CONVOLUTIONAL DICTIONARY LEARNING FOR RIVERBED DYNAMICS MODELING

Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification

Memory-Augmented U-Transformer for Multivariate Time Series Anomaly Detection

Aleatoric Uncertainty Estimation of Overnight Sleep Statistics through Posterior Sampling using Conditional Normalizing Flows

Class-incremental learning on multivariate time series via shape-aligned temporal distillation

Interpretable Multi-scale Neural Network for Granger Causality Discovery