| 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 | 116 | 2019 |
| 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 | 18 | 2019 |
| 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 | 10 | 2020 |
| Rigorous Data Fusion for Computationally Expensive Simulations N Winovich, AA Rushdi, ET Phipps, J Ray, G Lin, MS Ebeida Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2019 | 2 | 2019 |
| Neural Network Approximations to Solution Operators for Partial Differential Equations N Winovich Purdue University, 2021 | 1 | 2021 |
| 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 | 1 | 2018 |
| 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 |
Guang LinAssociate Dean for Research, Professor of Mathematics, Mech Eng, Statistics, Purdue UniversityBestätigte E-Mail-Adresse bei purdue.edu
