Ravi G. Patel | DeepAI

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Featured Co-authors

Nathaniel Trask
20 publications
Kookjin Lee
18 publications
Paul J Atzberger
10 publications
Eric C. Cyr
10 publications
Nathaniel A. Trask
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Mamikon Gulian
9 publications
Mauro Perego
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ignacio Tomas
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Indu Manickam
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Myoungkyu Lee
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Olivier Desjardins
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∙ 04/22/2022

Error-in-variables modelling for operator learning

Deep operator learning has emerged as a promising tool for reduced-order...

0 Ravi G. Patel, et al. ∙

∙ 01/27/2021

Partition of unity networks: deep hp-approximation

Approximation theorists have established best-in-class optimal approxima...

0 Kookjin Lee, et al. ∙

∙ 12/09/2020

Thermodynamically consistent physics-informed neural networks for hyperbolic systems

Physics-informed neural network architectures have emerged as a powerful...

0 Ravi G. Patel, et al. ∙

∙ 09/25/2020

A physics-informed operator regression framework for extracting data-driven continuum models

The application of deep learning toward discovery of data-driven models ...

0 Ravi G. Patel, et al. ∙

∙ 06/17/2020

A block coordinate descent optimizer for classification problems exploiting convexity

Second-order optimizers hold intriguing potential for deep learning, but...

0 Ravi G. Patel, et al. ∙

∙ 12/10/2019

Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint

Motivated by the gap between theoretical optimal approximation rates of ...

0 Eric C. Cyr, et al. ∙

∙ 09/07/2019

GMLS-Nets: A framework for learning from unstructured data

Data fields sampled on irregularly spaced points arise in many applicati...

0 Nathaniel Trask, et al. ∙

∙ 10/19/2018

Nonlinear integro-differential operator regression with neural networks

This note introduces a regression technique for finding a class of nonli...

0 Ravi G. Patel, et al. ∙

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