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Found 4 papers, 0 papers with code
Task-driven Compression for Collision Encoding based on Depth Images
This paper contributes a novel learning-based method for aggressive task-driven compression of depth images and their encoding as images tailored to collision prediction for robotic systems.
Predicting Treatment Adherence of Tuberculosis Patients at Scale
While TB is treatable, non-adherence to the medication regimen is a significant cause of morbidity and mortality.
Robust field-level inference with dark matter halos
More importantly, we find that our models are very robust: they can infer the value of $\Omega_{\rm m}$ and $\sigma_8$ when tested using halo catalogues from thousands of N-body simulations run with five different N-body codes: Abacus, CUBEP$^3$M, Enzo, PKDGrav3, and Ramses.
On the letter frequencies and entropy of written Marathi
We carry out a comprehensive analysis of letter frequencies in contemporary written Marathi.
