| A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design | Jan 26, 2021 | Geophysics | CodeCode Available | 0 |
| Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems | Nov 13, 2020 | GeophysicsPoint Processes | —Unverified | 0 |
| Distributed Learning via Filtered Hyperinterpolation on Manifolds | Jul 18, 2020 | GeophysicsMedical Diagnosis | —Unverified | 0 |
| Data-driven geophysics: from dictionary learning to deep learning | Jul 13, 2020 | Deep LearningDictionary Learning | —Unverified | 0 |
| On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics | May 22, 2020 | BIG-bench Machine LearningGeophysics | —Unverified | 0 |
| High-Contrast Reflection Tomography with Total-Variation Constraints | May 6, 2020 | GeophysicsObject | —Unverified | 0 |
| A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification | Dec 3, 2019 | General ClassificationGeophysics | —Unverified | 0 |
| Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks | Dec 2, 2019 | Geophysics | —Unverified | 0 |
| Target Tracking with Electrical Impedance Tomography | Nov 12, 2019 | Geophysics | —Unverified | 0 |
| Distributed filtered hyperinterpolation for noisy data on the sphere | Oct 6, 2019 | GeophysicsModel Selection | —Unverified | 0 |
