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Found 4 papers, 1 papers with code
Cosmic Background Removal with Deep Neural Networks in SBND
In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded.
Semantic Segmentation
Data Analysis, Statistics and Probability
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains
Our experiments suggest that models learned in different domains can be transferred at the expense of a decrease in performance, and that oneshot learning in the context of unsupervised CNN-based registration is a valid alternative to achieve consistent registration performance when only a pair of images from the target domain is available.
Pose Encoding for Robust Skeleton-Based Action Recognition
Some of the main challenges in skeleton-based action recognition systems are redundant and noisy pose transformations.
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models
Here we report on a software framework for data parallel distributed deep learning that resolves the twin challenges of training these large SciML models training in reasonable time as well as distributing the storage requirements.
