Recently, using neural networks to simulate spatio-temporal dynamics has...
Recently, Meta-Auto-Decoder (MAD) was proposed as a novel reduced order ...
Rotated object detection aims to identify and locate objects in images w...
Many eye diseases like Diabetic Macular Edema (DME), Age-related Macular...
Retinal Optical Coherence Tomography (OCT), a noninvasive cross-sectiona...
We consider the neural sparse representation to solve Boltzmann equation...
Company financial risk is ubiquitous and early risk assessment for liste...
Data-driven predictive methods which can efficiently and accurately tran...
Proteins are essential component of human life and their structures are
...
Optimizers that further adjust the scale of gradient, such as Adam, Natu...
Online multi-object tracking (MOT) is an active research topic in the do...
Using second-order optimization methods for training deep neural network...
Second-order optimization methods have the ability to accelerate converg...