90 citations · 967 across the 118 of their papers we have counts for
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cs.NE2020★ 28 cited
Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators
Andrei Ivanov, Ilya Agapov
This paper presents a novel approach for constructing neural networks which model charged particle beam dynamics. In our approach, the Taylor maps arising in the representation of…
cs.LG2020★ 24 cited
Data Movement Is All You Need: A Case Study on Optimizing Transformers
Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun +2
Transformers are one of the most important machine learning workloads today. Training one is a very compute-intensive task, often taking days or weeks, and significant attention ha…
cs.NE2020
Physics-based polynomial neural networks for one-shot learning of dynamical systems from one or a few samples
Andrei Ivanov, Uwe Iben, Anna Golovkina
This paper discusses an approach for incorporating prior physical knowledge into the neural network to improve data efficiency and the generalization of predictive models. If the d…