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Found 5 papers, 2 papers with code
An Advanced Features Extraction Module for Remote Sensing Image Super-Resolution
The experimental results show that our proposed method helps the model focus on the specific channels and spatial locations containing high-frequency information so that the model can focus on relevant features and suppress irrelevant ones, which enhances the quality of super-resolved images.
LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents
We also propose the LongForms dataset, a comprehensive financial dataset that encapsulates several industrial challenges in financial documents.
Machine Learning Etudes in Astrophysics: Selection Functions for Mock Cluster Catalogs
Making mock simulated catalogs is an important component of astrophysical data analysis.
Efficient Power Spectrum Estimation for High Resolution CMB Maps
Estimation of the angular power spectrum of the Cosmic Microwave Background (CMB) on a small patch of sky is usually plagued by serious spectral leakage, specially when the map has a hard edge.
Efficient Cosmological Parameter Estimation with Hamiltonian Monte Carlo
This new technique improves the acceptance rate by a factor of 4 and boosts up the efficiency by at least a factor of D in a D-dimensional parameter space.
