2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 2 cited
Comparing the costs of abstraction for DL frameworks
Maksim Levental, Elena Orlova
High level abstractions for implementing, training, and testing Deep Learning (DL) models abound. Such frameworks function primarily by abstracting away the implementation details…
physics.data-an2018
Generative Models for Fast Calorimeter Simulation.LHCb case
Viktoria Chekalina, Elena Orlova, Fedor Ratnikov +3
Simulation is one of the key components in high energy physics. Historically it relies on the Monte Carlo methods which require a tremendous amount of computation resources. These…