| Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. | 0 | 0.34 | 2022 |
| Distributed adversarial training to robustify deep neural networks at scale. | 0 | 0.34 | 2022 |
| Solving sparse linear systems with approximate inverse preconditioners on analog devices | 0 | 0.34 | 2021 |
| Dynamic Graph Convolutional Networks Using the Tensor M-Product. | 1 | 0.38 | 2021 |
| Recurrent Neural Networks in the Eye of Differential Equations. | 1 | 0.36 | 2019 |
| Experimental Design for Nonparametric Correction of Misspecified Dynamical Models | 0 | 0.34 | 2018 |
| Stable Tensor Neural Networks for Rapid Deep Learning. | 0 | 0.34 | 2018 |
| Image classification using local tensor singular value decompositions | 1 | 0.37 | 2017 |
| Community Detection Using Time-Dependent Personalized PageRank | 2 | 0.36 | 2015 |
| Source estimation for wave equations with uncertain parameters | 0 | 0.34 | 2015 |
| Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling. | 0 | 0.34 | 2015 |
| Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling. | 0 | 0.34 | 2013 |
| Accelerating Hessian-Free Optimization For Deep Neural Networks By Implicit Preconditioning And Sampling | 2 | 0.42 | 2013 |
| A Second Order Discretization of Maxwell's Equations in the Quasi-Static Regime on OcTree Grids | 4 | 0.54 | 2011 |
| Use of anisotropic modelling in electrical impedance tomography: description of method and preliminary assessment of utility in imaging brain function in the adult human head. | 11 | 0.90 | 2008 |
