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Moving to Facebook Research

Data-driven coarse propagation to accelerate convergence

Using regression to model approximate-solution errors

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Using deep learning to overcome Komolgorov-width limitation

Recent Publications

This work proposes a windowed least-squares (WLS) approach for model-reduction of dynamical systems. The proposed approach sequentially …

This work proposes an approach for latent dynamics learning that exactly enforces physical conservation laws. The method comprises two …

This work introduces the network uncertainty quantification (NetUQ) method for performing uncertainty propagation in systems composed …

This work proposes a machine-learning framework for modeling the error incurred by approximate solutions to parameterized dynamical …

This work introduces a new method to efficiently solve optimization problems constrained by partial differential equations (PDEs) with …

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