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A conditional latent autoregressive recurrent model for generation and
  forecasting of beam dynamics in particle accelerators

A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators

19 March 2024
M. Rautela
Alan Williams
A. Scheinker
ArXivPDFHTML

Papers citing "A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators"

4 / 4 papers shown
Title
Enhancing Computational Fluid Dynamics with Machine Learning
Enhancing Computational Fluid Dynamics with Machine Learning
Ricardo Vinuesa
Steven L. Brunton
AI4CE
100
355
0
05 Oct 2021
Neural network based order parameter for phase transitions and its
  applications in high-entropy alloys
Neural network based order parameter for phase transitions and its applications in high-entropy alloys
Junqi Yin
Zongrui Pei
M. Gao
26
27
0
12 Sep 2021
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional
  Latent Space Tuning
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning
A. Scheinker
AI4CE
26
30
0
13 Jul 2021
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
227
7,903
0
13 Jun 2015
1