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hep-th2026
Deep neural networks as lattice gauge theories
Ro Jefferson, Shradha Ramakrishnan
We modify the NN/QFT duality [1] to incorporate the layerwise permutation symmetry of the network, resulting in a -dimensional lattice gauge theory, in which each layer…
hep-th2026
Towards Worst-Case Guarantees with Scale-Aware Interpretability
Lauren Greenspan, David Berman, Aryeh Brill +9
Neural networks organize information according to the hierarchical, multi-scale structure of natural data. Methods to interpret model internals should be similarly scale-aware, exp…
hep-th2025
Algebraic perturbation theory: traversable wormholes and generalized entropy beyond subleading order
Shadi Ali Ahmad, Ro Jefferson
The crossed product has recently emerged as an important ingredient in describing algebras of observables for quantum field theory and gravity. We combine this with perturbation th…