Poster
in
Workshop: ML Interpretability for Scientific Discovery
[Session 2] P#18 Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Abstract:
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Peter Y Lu (MIT)*; Samuel Kim (MIT); Marin Soljacic (MIT)
Paper: https://www.dropbox.com/s/z6xlp5lcktd4kss/ICML2020workshop_pde_vae_final.pdf
Video: https://youtu.be/4tjD6_7Eclg
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