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Found 6 papers, 2 papers with code
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation
To enable rapid adaptation of the best segmentation technology, we propose the concept of semantic boosting: given a zero-shot foundation model, guide its segmentation and adjust results to match domain expectations.
Neural Ordinary Differential Equations for Nonlinear System Identification
In particular, we present a quantitative study comparing NODE's performance against neural state-space models and classical linear system identification methods.
Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance
We perform power analysis of ddKS and its approximations on a corpus of datasets and compare to other common high dimensional two sample tests and distances: Hotelling's T^2 test and Kullback-Leibler divergence.
Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs
The studies are carried out on simulated events in the MicroBooNE detector.
Performance of Julia for High Energy Physics Analyses
We argue that the Julia programming language is a compelling alternative to currently more common implementations in Python and C++ for common data analysis workflows in high energy physics.
Computational Physics High Energy Physics - Experiment
The International Linear Collider: A Global Project
In this report, we review of all aspects of the ILC program: the physics motivation, the accelerator design, the run plan, the proposed detectors, the experimental measurements on the Higgs boson, the top quark, the couplings of the W and Z bosons, and searches for new particles.
High Energy Physics - Experiment High Energy Physics - Phenomenology Accelerator Physics
