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40
research
∙ 08/11/2022

HyperTime: Implicit Neural Representation for Time Series

Implicit neural representations (INRs) have recently emerged as a powerf...
Elizabeth Fons, et al. ∙
18
research
∙ 08/11/2022

RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild

We describe a data-driven method for inferring the camera viewpoints giv...
Jason Y. Zhang, et al. ∙
17
research
∙ 08/11/2022

K-UNN: k-Space Interpolation With Untrained Neural Network

Recently, untrained neural networks (UNNs) have shown satisfactory perfo...
Zhuo-Xu Cui, et al. ∙
15
research
∙ 08/11/2022

Learning Point Processes using Recurrent Graph Network

We present a novel Recurrent Graph Network (RGN) approach for predicting...
Saurabh Dash, et al. ∙
27
research
∙ 08/10/2022

High-Frequency Space Diffusion Models for Accelerated MRI

Denoising diffusion probabilistic models (DDPMs) have been shown to have...
Chentao Cao, et al. ∙
16
research
∙ 08/11/2022

Adaptive and Implicit Regularization for Matrix Completion

The explicit low-rank regularization, e.g., nuclear norm regularization,...
Zhemin Li, et al. ∙

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