Davis Gilton - RankMe

14 papers B 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder. IEEE Trans. Geosci. Remote. Sens. Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster
2021	B	`conf`	Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder. e-Science Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster
2021	J	`jnl`	Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder. CoRR Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster
2021	J	`jnl`	Deep Equilibrium Architectures for Inverse Problems in Imaging. CoRR Davis Gilton, Gregory Ongie, Rebecca Willett
2021	J	`jnl`	Deep Equilibrium Architectures for Inverse Problems in Imaging. IEEE Trans. Computational Imaging Davis Gilton, Gregory Ongie, Rebecca Willett
2021	J	`jnl`	Masked LARk: Masked Learning, Aggregation and Reporting worKflow. CoRR Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson
2021	—	`conf`	Model Adaptation In Biomedical Image Reconstruction. ISBI Davis Gilton, Greg Ongie, Rebecca Willett
2021	J	`jnl`	Model Adaptation for Inverse Problems in Imaging. IEEE Trans. Computational Imaging Davis Gilton, Gregory Ongie, Rebecca Willett
2020	J	`jnl`	Detection and Description of Change in Visual Streams. CoRR Davis Gilton, Ruotian Luo, Rebecca Willett, Greg Shakhnarovich
2020	J	`jnl`	Model Adaptation for Inverse Problems in Imaging. CoRR Davis Gilton, Gregory Ongie, Rebecca Willett
2020	J	`jnl`	Neumann Networks for Linear Inverse Problems in Imaging. IEEE Trans. Computational Imaging Davis Gilton, Greg Ongie, Rebecca Willett
2019	—	`conf`	Learned Patch-Based Regularization for Inverse Problems in Imaging. CAMSAP Davis Gilton, Greg Ongie, Rebecca Willett
2019	—	`conf`	Learning to Regularize Using Neumann Networks. DSW Davis Gilton, Greg Ongie, Rebecca Willett
2019	J	`jnl`	Neumann Networks for Inverse Problems in Imaging. CoRR Davis Gilton, Greg Ongie, Rebecca Willett