SHRED 1 Overview

SHRED: SHallow REcurrent Decoders SHRED is a decoding only strategy mapping sparse measurements to full state-space estimates using a temporal sequence model whose latent space decodes to a state-space representation. PLAYLIST 1. SHRED Overview PAPER: https://royalsocietypublishing.org/doi/abs/10.1098/rspa.2024.0054 arxiv: https://arxiv.org/abs/2301.12011 2. SHRED for Sensing PAPER 1: https://royalsocietypublishing.org/doi/abs/10.1098/rspa.2024.0054 PAPER 2: https://ieeexplore.ieee.org/abstract/document/10584544 GITHUB: https://github.com/Jan-Williams/pyshred 3. SHRED with SINDY and Koopman PAPER: https://arxiv.org/abs/2501.13329 GITHUB: https://github.com/gaoliyao/sindy-shred 4. SHRED with transformers and UNET 5. SHRED for reduced order modeling (SHRED-ROM) PAPER: https://arxiv.org/abs/2502.10930 GITHUB: https://github.com/MatteoTomasetto/SHRED-ROM DATA: https://doi.org/10.5281/zenodo.14524524 6. SHRED for Nuclear reactor digital twins PAPER: https://arxiv.org/abs/2409.12550 GITHUB: https://github.com/ERMETE-Lab/NuSHRED 7. PySHRED open source package GITHUB: github.com/PyShred-Dev/PyShred