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07/27/2023
Learning locally dominant force balances in active particle systems
We use a combination of unsupervised clustering and sparsity-promoting i...
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01/21/2022
Learning deterministic hydrodynamic equations from stochastic active particle dynamics
We present a principled data-driven strategy for learning deterministic ...
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12/07/2021
Parallel Discrete Convolutions on Adaptive Particle Representations of Images
We present data structures and algorithms for native implementations of ...
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01/15/2021
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations
Numerical methods for approximately solving partial differential equatio...
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12/11/2020
Learning physically consistent mathematical models from data using group sparsity
We propose a statistical learning framework based on group-sparse regres...
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07/17/2019