research
          
      
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      12/01/2022
    Applications of Lattice Gauge Equivariant Neural Networks
The introduction of relevant physical information into neural network ar...
          
            research
          
      
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      12/23/2021
    Equivariance and generalization in neural networks
The crucial role played by the underlying symmetries of high energy phys...
          
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      12/23/2021
    Generalization capabilities of neural networks in lattice applications
In recent years, the use of machine learning has become increasingly pop...
          
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      12/21/2021
    Preserving gauge invariance in neural networks
In these proceedings we present lattice gauge equivariant convolutional ...
          
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      11/08/2021
    Lattice gauge symmetry in neural networks
We review a novel neural network architecture called lattice gauge equiv...
          
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      03/26/2021
    Generalization capabilities of translationally equivariant neural networks
The rising adoption of machine learning in high energy physics and latti...
          
            research
          
      
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      12/23/2020
     
             
  
  
     
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