Na Zhang

From Symmetry to Invariance: Learning Galois-Equivalent Representations in Finite Fields

Neural networks can learn algebraic operations from finite examples,but it remains unclear whether such generalization transfers acrossmathematically equivalent representations of the same operation. Westudy this question through multiplication in finite fields underchanges of ba...

From Symmetry to Invariance: Learning Galois-Equivalent Representations in Finite Fields

Neural networks can learn algebraic operations from finite examples,but it remains unclear whether such generalization transfers acrossmathematically equivalent representations of the same operation. Westudy this question through multiplication in finite fields underchanges of ba...