Neural Network / QFT Correspondence
This is where we will put reading for the neural network / quantum field theory correspondence.
Reviews
Papers
- Viability of perturbative expansion for quantum field theories on neurons
- Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
- Holography as deep learning
- Synaptic Field Theory for Neural Networks
- Quantum Mechanics and Neural Networks
- Conformal Fields from Neural Networks
- KAN: Kolmogorov-Arnold Networks
- Neural network field theories: non-Gaussianity, actions, and locality
- Building Quantum Field Theories Out of Neurons
- Infinite neural network quantum states: entanglement and training dynamics
- Deep Information Propagation
- [Book] Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
- [Book] Deep Learning
- A Survey on Kolmogorov-Arnold Network
- Learning the Simplicity of Scattering Amplitudes
- [Website] Domain Research - Theoretical Physics
- Kolmogorov-Arnold Transformer
- A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
- A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Thoughts
- How can one construct scattering states in the NN-QFT correspondence?
- Is there a way to impose asymptotic structures in this correspondence?