Time Series Models

General Time Series

Surveys

• Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey - List of Papers
• A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications

S-Rocket

• S-Rocket: Selective Random Convolution Kernels for Time Series Classification

Light Inception with boosTing tEchnique (LITE)

• Look Into the LITE in Deep Learning for Time Series Classification - Model Code

Convolutional Echo State Network (CESN)

• A new Neural Network architecture for Time Series Classification
• ConvMESN: Convolutional Multitimescale Echo State Network - Model Code

Spiking Based Models

• Efficient and Effective Time-Series Forecasting with Spiking Neural Networks - Model Code
• Reservoir based spiking models for univariate Time Series Classification - Model Code
• Enhancing temporal learning in recurrent spiking networks for neuromorphic applications - Model Code
• Fractal Spiking Neural Network Scheme for EEG-Based Emotion Recognition
• Encodings: A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks
• Continuous Thought Machines - Model Code

Vision Models for Time Series

• Harnessing Vision Models for Time Series Analysis: A Survey
• Gramian Angular Fields (GAF) and Markov Transition Fields (MTF): Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks

GNNs

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Time-Aware Sequence Modelling

• Time-Aware Multi-Scale RNNs for Time Series Modeling
• ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling
• System Identification with Time-Aware Neural Sequence Models - Model Code
• On the Dynamics of Learning Time-Aware Behavior with Recurrent Neural Networks - Model Code
• Multi-Way adaptive Time Aware LSTM for irregularly collected sequential ICU data - Model Code

Recurrent Flow Networks

• Probabilistic Learning of Multivariate Time Series with Temporal Irregularity - Model Code

SSMs

• Efficiently Modeling Long Sequences with Structured State Spaces - Model Code

EEG-specific Models

• EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces - Model Code
• Exploration of an intrinsically explainable self-attention based model for prototype generation on single-channel EEG sleep stage classification - Model Code
• EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG
• GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals - Model Code
• A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces