LAtent Phase Inference from Short time sequences using SHallow REcurrent Decoders (LAPIS-SHRED)

1. 1Identify sparse observations in space and time
2. 2Apply LAPIS-SHRED to infer latent phase from short time sequences
3. 3Use shallow recurrent decoders to reconstruct full spatio-temporal dynamics
4. 4Evaluate the performance of LAPIS-SHRED for mechanistic insight and understanding

Data scientists and AI engineers on a team can benefit from LAPIS-SHRED for reconstructing full spatio-temporal dynamics from sparse observations, enabling better model calibration and decision-making

💡 LAPIS-SHRED can reconstruct full spatio-temporal dynamics from sparse observations, enabling better understanding and decision-making

🚀 LAPIS-SHRED: a new method for inferring latent phase from short time sequences 📈