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ORCIDRavi G. Patel
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- affiliation: Sandia National Laboratories, Center for Computing Research, Albuquerque, NM, USA
- affiliation: Cornell University, Sibley School of Mechanical and Aerospace Engineering, Ithaca, NY, USA
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2020 – today
- 2024
[i10]Jeremiah Hauth, Cosmin Safta, Xun Huan, Ravi G. Patel, Reese E. Jones:
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes. CoRR abs/2402.11179 (2024)- 2022
- [j2]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: 110754 (2022) - [c5]Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian:
Error-in-variables modelling for operator learning. MSML 2022: 142-157 - [i9]Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian:
Error-in-variables modelling for operator learning. CoRR abs/2204.10909 (2022) - 2021
- [c4]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 - [c3]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 - [i8]Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr:
Partition of unity networks: deep hp-approximation. CoRR abs/2101.11256 (2021) - [i7]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 abs/2110.10775 (2021) - 2020
- [c2]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 - [c1]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: 512-536 - [i6]Ravi G. Patel, Nathaniel A. Trask, Mamikon A. Gulian, Eric C. Cyr:
A block coordinate descent optimizer for classification problems exploiting convexity. CoRR abs/2006.10123 (2020) - [i5]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 abs/2009.11992 (2020) - [i4]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 abs/2012.05343 (2020)
2010 – 2019
- 2019
- [j1]Ravi G. Patel, Olivier Desjardins, Rodney O. Fox:
Three-dimensional conditional hyperbolic quadrature method of moments. J. Comput. Phys. X 1: 100006 (2019) - [i3]Nathaniel Trask, Ravi G. Patel, Ben J. Gross, Paul J. Atzberger:
GMLS-Nets: A framework for learning from unstructured data. CoRR abs/1909.05371 (2019) - [i2]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 abs/1912.04862 (2019) - 2018
- [i1]Ravi G. Patel, Olivier Desjardins:
Nonlinear integro-differential operator regression with neural networks. CoRR abs/1810.08552 (2018)
Coauthor Index
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last updated on 2024-04-25 02:26 CEST by the dblp team
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