| Deep equilibrium architectures for inverse problems in imaging D Gilton, G Ongie, R Willett IEEE Transactions on Computational Imaging 7, 1123-1133, 2021 | 213 | 2021 |
| Neumann networks for linear inverse problems in imaging D Gilton, G Ongie, R Willett IEEE Transactions on Computational Imaging 6, 328-343, 2019 | 169 | 2019 |
| Model adaptation for inverse problems in imaging D Gilton, G Ongie, R Willett IEEE Transactions on Computational Imaging 7, 661-674, 2021 | 60 | 2021 |
| Data-driven cloud clustering via a rotationally invariant autoencoder T Kurihana, E Moyer, R Willett, D Gilton, I Foster IEEE Transactions on Geoscience and Remote Sensing 60, 1-25, 2021 | 19 | 2021 |
| Sparse linear contextual bandits via relevance vector machines D Gilton, R Willett 2017 International Conference on Sampling Theory and Applications (SampTA …, 2017 | 18 | 2017 |
| Learned patch-based regularization for inverse problems in imaging D Gilton, G Ongie, R Willett 2019 ieee 8th international workshop on computational advances in multi …, 2019 | 14 | 2019 |
| Masked LARk: Masked learning, aggregation and reporting workflow JJ Pfeiffer III, D Charles, D Gilton, YH Jung, M Parsana, E Anderson arXiv preprint arXiv:2110.14794, 2021 | 9 | 2021 |
| Detection and description of change in visual streams D Gilton, R Luo, R Willett, G Shakhnarovich arXiv preprint arXiv:2003.12633, 2020 | 5 | 2020 |
| Model adaptation in biomedical image reconstruction D Gilton, G Ongie, R Willett 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1223-1226, 2021 | 2 | 2021 |
| Adaptive Off-ramp Training and Inference for Early Exits in a Deep Neural Network SKPKM Naga, JJ Pfeiffer III, DL Gilton US Patent App. 17/348,299, 2022 | 1 | 2022 |
| Learning to solve linear inverse problems in imaging with Neumann networks G Ongie, D Gilton, R Willett NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019 | 1 | 2019 |
| Learning to Regularize Using Neumann Networks D Gilton, G Ongie, R Willett 2019 IEEE Data Science Workshop (DSW), 201-207, 2019 | 1 | 2019 |
| Privacy preserving user personalization using noisy ranking ED Anderson, JJ PFEIFFER III, DX Charles, A Rebrikov, JR Mooring, ... US Patent App. 18/301,943, 2024 | | 2024 |
| Cloud Clustering Applied to MODIS Calibrated Radiances Over 2003 via Rotationally Invariant Autoencoder T Kurihana, E Moyer, R Willett, D Gilton, I Foster AGU Fall Meeting Abstracts 2021, A35C-1635, 2021 | | 2021 |
| Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder T Kurihana, E Moyer, R Willett, D Gilton, I Foster 2021 IEEE 17th International Conference on eScience (eScience), 253-254, 2021 | | 2021 |
| Learning Robust Data-Driven Methods for Inverse Problems and Change Detection D Gilton The University of Wisconsin-Madison, 2021 | | 2021 |
| Neumann networks for inverse problems in imaging D Gilton, G Ongie, R Willett arXiv preprint arXiv:1901.03707, 2019 | | 2019 |
