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Peter Y. Lu

Model Stitching: Looking For Functional Similarity Between Representations

Mar 20, 2023
Adriano Hernandez, Rumen Dangovski, Peter Y. Lu, Marin Soljacic

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* 5 pages, 2 figures

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Discovering Conservation Laws using Optimal Transport and Manifold Learning

Aug 31, 2022
Peter Y. Lu, Rumen Dangovski, Marin Soljačić

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* 16 pages, 11 figures (7 main text, 4 supplemental), 1 table (supplemental)

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Deep Learning and Symbolic Regression for Discovering Parametric Equations

Jul 01, 2022
Michael Zhang, Samuel Kim, Peter Y. Lu, Marin Soljačić

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* Michael Zhang and Samuel Kim contributed equally to this work. 10 pages, 14 figures

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Discovering Sparse Interpretable Dynamics from Partial Observations

Jul 22, 2021
Peter Y. Lu, Joan Ariño, Marin Soljačić

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* 8 pages, 4 figures

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Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

Aug 19, 2019
Peter Y. Lu, Samuel Kim, Marin Soljačić

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* 15 pages, 8 figures, 2 tables

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