Ravi G. Patel - RankMe

23 papers Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Analog Bayesian neural networks are insensitive to the shape of the weight distribution. CoRR Ravi G. Patel, T. Patrick Xiao, Sapan Agarwal, Christopher H. Bennett
2025	J	`jnl`	GenUQ: Predictive Uncertainty Estimates via Generative Hyper-Networks. CoRR Tian Yu Yen, Reese E. Jones, Ravi G. Patel
2025	J	`jnl`	Mixture of neural operator experts for learning boundary conditions and model selection. CoRR Dwyer Deighan, Jonas A. Actor, Ravi G. Patel
2025	J	`jnl`	Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity. CoRR Asghar A. Jadoon, Ravi G. Patel, Brian Neal Granzow, Reese E. Jones, D. Thomas Seidl, Jan Niklas Fuhg
2025	J	`jnl`	Uncertainty quantification of neural network models of evolving processes via Langevin sampling. CoRR Cosmin Safta, Reese E. Jones, Ravi G. Patel, Raelynn Wonnacott, Dan S. Bolintineanu, Craig M. Hamel, Sharlotte L. B. Kramer
2024	J	`jnl`	Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response. CoRR Ravi G. Patel, Cosmin Safta, Reese E. Jones
2024	J	`jnl`	Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes. CoRR Jeremiah Hauth, Cosmin Safta, Xun Huan, Ravi G. Patel, Reese E. Jones
2022	—	`conf`	Error-in-variables modelling for operator learning. MSML Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian
2022	J	`jnl`	Error-in-variables modelling for operator learning. CoRR Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian
2022	J	`jnl`	Thermodynamically consistent physics-informed neural networks for hyperbolic systems. J. Comput. Phys. Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
2021	—	`conf`	A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity. AAAI Spring Symposium: MLPS Ravi G. Patel, Nathaniel Trask, Mamikon A. Gulian, Eric C. Cyr
2021	—	`conf`	Partition of Unity Networks: Deep HP-Approximation. AAAI Spring Symposium: MLPS Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
2021	J	`jnl`	Partition of unity networks: deep hp-approximation. CoRR Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
2021	J	`jnl`	Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks. CoRR Peter Sentz, Kristian Beckwith, Eric C. Cyr, Luke N. Olson, Ravi G. Patel
2020	J	`jnl`	A block coordinate descent optimizer for classification problems exploiting convexity. CoRR Ravi G. Patel, Nathaniel A. Trask, Mamikon A. Gulian, Eric C. Cyr
2020	J	`jnl`	A physics-informed operator regression framework for extracting data-driven continuum models. CoRR Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood, Eric C. Cyr
2020	—	`conf`	GMLS-Nets: A Machine Learning Framework for Unstructured Data. AAAI Spring Symposium: MLPS Nathaniel Trask, Ravi G. Patel, Paul J. Atzberger, Ben J. Gross
2020	—	`conf`	Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. MSML Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
2020	J	`jnl`	Thermodynamically consistent physics-informed neural networks for hyperbolic systems. CoRR Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
2019	J	`jnl`	GMLS-Nets: A framework for learning from unstructured data. CoRR Nathaniel Trask, Ravi G. Patel, Ben J. Gross, Paul J. Atzberger
2019	J	`jnl`	Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. CoRR Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
2019	J	`jnl`	Three-dimensional conditional hyperbolic quadrature method of moments. J. Comput. Phys. X Ravi G. Patel, Olivier Desjardins, Rodney O. Fox
2018	J	`jnl`	Nonlinear integro-differential operator regression with neural networks. CoRR Ravi G. Patel, Olivier Desjardins