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Nick Winovich
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ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains
N Winovich, K Ramani, G Lin
Journal of Computational Physics 394, 263-279, 2019
982019
Peri-net: analysis of crack patterns using deep neural networks
M Kim, N Winovich, G Lin, W Jeong
Journal of Peridynamics and Nonlocal Modeling 1, 131-142, 2019
152019
Latent transformations neural network for object view synthesis
S Kim, N Winovich, HG Chi, G Lin, K Ramani
The Visual Computer 36 (8), 1663-1677, 2020
102020
Rigorous Data Fusion for Computationally Expensive Simulations.
N Winovich, A Rushdi, ET Phipps, J Ray, G Lin, MS Ebeida
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2019
22019
Neural Network Approximations to Solution Operators for Partial Differential Equations
N Winovich
Purdue University, 2021
12021
Ct-gan: Conditional transformation generative adversarial network for image attribute modification
S Kim, N Winovich, G Lin, K Ramani
arXiv preprint arXiv:1807.04812, 2018
12018
Novel Geometric Operations for Linear Programming
M Ebeida, A Abdelkader, N Amenta, DP Kouri, O Parekh, CA Phillips, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
Spoke-LP: A parallel code for linear programming.
MS Ebeida
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
VoroSpokes Sampling for Bayesian Inference.
M Ebeida, N Winovich
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
2019
Latent Transformations for Object View Points Synthesis
S Kim, N Winovich, G Lin, K Ramani
arXiv preprint arXiv:1807.04812, 2018
2018
Deep Machine Learning for Mechanical Performance and Failure Prediction
E Reber, ND Winovich, G Lin
2018
Machine Learning Based Molecular Properties Discovery for Quantum-chemical Simulations
J Zhou, ND Winovich, G Lin
2017
Predicting Locations of Pollution Sources using Convolutional Neural Networks
Y Chi, ND Winovich, G Lin
2017
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Articles 1–13