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Medford, MA

Peter Y. Lu

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@peterparity

Assistant Professor of ECE at Tufts • Former Schmidt AI in Science Fellow at UChicago • Ph.D. in Physics from MIT • Physics ∩ ML

petery.lu

PDE-VAE-pytorch. PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

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symder. SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations

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conservation-laws-manifold-learning. Discovering Conservation Laws using Optimal Transport and Manifold Learning

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EUNN-tensorflow. Efficient Unitary NN implementation in tensorflow

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