Ravi G. Patel

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Partial Differential Equations

Top Venues

AAAI Spring Symposium: MLPS

J. Comput. Phys.

Publications

Ravi G. Patel, Cosmin Safta, Reese E. Jones
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response. CoRR (2024)
Jeremiah Hauth, Cosmin Safta, Xun Huan, Ravi G. Patel, Reese E. Jones
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes. CoRR (2024)
Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian
Error-in-variables modelling for operator learning. CoRR (2022)
Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
Thermodynamically consistent physics-informed neural networks for hyperbolic systems. J. Comput. Phys. 449 (2022)
Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian
Error-in-variables modelling for operator learning. MSML (2022)
Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
Partition of unity networks: deep hp-approximation. CoRR (2021)
Peter Sentz, Kristian Beckwith, Eric C. Cyr, Luke N. Olson, Ravi G. Patel
Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks. CoRR (2021)
Ravi G. Patel, Nathaniel Trask, Mamikon A. Gulian, Eric C. Cyr
A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity. AAAI Spring Symposium: MLPS (2021)
Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
Partition of Unity Networks: Deep HP-Approximation. AAAI Spring Symposium: MLPS (2021)
Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. MSML (2020)
Ravi G. Patel, Nathaniel A. Trask, Mamikon A. Gulian, Eric C. Cyr
A block coordinate descent optimizer for classification problems exploiting convexity. CoRR (2020)
Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
Thermodynamically consistent physics-informed neural networks for hyperbolic systems. CoRR (2020)
Nathaniel Trask, Ravi G. Patel, Paul J. Atzberger, Ben J. Gross
GMLS-Nets: A Machine Learning Framework for Unstructured Data. AAAI Spring Symposium: MLPS (2020)
Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood, Eric C. Cyr
A physics-informed operator regression framework for extracting data-driven continuum models. CoRR (2020)
Nathaniel Trask, Ravi G. Patel, Ben J. Gross, Paul J. Atzberger
GMLS-Nets: A framework for learning from unstructured data. CoRR (2019)
Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. CoRR (2019)
Ravi G. Patel, Olivier Desjardins, Rodney O. Fox
Three-dimensional conditional hyperbolic quadrature method of moments. J. Comput. Phys. X 1 (2019)
Ravi G. Patel, Olivier Desjardins
Nonlinear integro-differential operator regression with neural networks. CoRR (2018)