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Found 5 papers, 1 papers with code
A backward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations
This is motivated by the fact that differential deep learning can provide an efficient approximation of the labels and their derivatives with respect to inputs.
AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images
Finally, we conduct a benchmark experiment to evaluate the performance of state-of-the-art IQA models on our database.
Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations
In this work, we study uncertainty quantification (UQ) for a class of deep learning-based BSDE schemes.
Masked Autoencoders as Image Processors
Recently, masked autoencoders (MAE) for feature pre-training have further unleashed the potential of Transformers, leading to state-of-the-art performances on various high-level vision tasks.
Ranked #4 on
Image Defocus Deblurring
on DPD (Dual-view)
Deep learning algorithms for solving high dimensional nonlinear backward stochastic differential equations
In this work, we propose a new deep learning-based scheme for solving high dimensional nonlinear backward stochastic differential equations (BSDEs).
