Search Results for author:
Found 7 papers, 2 papers with code
Wide-Area Geolocalization with a Limited Field of View Camera
This paper presents Restricted FOV Wide-Area Geolocalization (ReWAG), a cross-view geolocalization approach that generalizes WAG for use with standard, non-panoramic ground cameras by creating pose-aware embeddings and providing a strategy to incorporate particle pose into the Siamese network.
Transverse charge density and the radius of the proton
Our reanalysis shows that the proton radius discrepancy cannot be explained by issues with fitting and extrapolating the A1 data to $Q^2 = 0$.
Nuclear Experiment High Energy Physics - Experiment High Energy Physics - Phenomenology Nuclear Theory
Multivariate Uncertainty in Deep Learning
We experimentally show in a visual tracking problem the large impact that accurate multivariate uncertainty quantification can have on Kalman filter performance for both in-domain and out-of-domain evaluation data.
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans
We introduce a new computer aided detection and diagnosis system for lung cancer screening with low-dose CT scans that produces meaningful probability assessments.
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
The labeled dataset is available at: https://osf. io/d45bw/.
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
Motivated by the problem of automated repair of software vulnerabilities, we propose an adversarial learning approach that maps from one discrete source domain to another target domain without requiring paired labeled examples or source and target domains to be bijections.
Automated software vulnerability detection with machine learning
We then compare methods applied directly to source code with methods applied to artifacts extracted from the build process, finding that source-based models perform better.
