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cs.LG2024
Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines
Ekaterina Trofimova, Emil Sataev, Andrey E. Ustyuzhanin
In the ever-evolving landscape of machine learning, seamless translation of natural language descriptions into executable code remains a formidable challenge. This paper introduces…
cs.LG2021★ 2 cited
Segmentation of EM showers for neutrino experiments with deep graph neural networks
Vladislav Belavin, Ekaterina Trofimova, Andrey Ustyuzhanin
We introduce a first-ever algorithm for the reconstruction of multiple showers from the data collected with electromagnetic (EM) sampling calorimeters. Such detectors are widely us…