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Peter Y. Lu

Multimodal Learning for Crystalline Materials

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Nov 30, 2023
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Training neural operators to preserve invariant measures of chaotic attractors

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Jun 01, 2023
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Deep Stochastic Mechanics

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May 31, 2023
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Model Stitching: Looking For Functional Similarity Between Representations

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Mar 20, 2023
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Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows

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Feb 23, 2023
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Discovering Conservation Laws using Optimal Transport and Manifold Learning

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Aug 31, 2022
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Deep Learning and Symbolic Regression for Discovering Parametric Equations

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Jul 01, 2022
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Discovering Sparse Interpretable Dynamics from Partial Observations

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Jul 22, 2021
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Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems

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Apr 23, 2021
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Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

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Aug 19, 2019
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