Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators. - Anindita Maiti; Keegan Stoner; James Halverson (CoRR, 2021)

Neural networks and quantum field theory. - James Halverson; Anindita Maiti; Keegan Stoner (Mach. Learn. Sci. Technol., 2021)

Wilsonian Renormalization of Neural Network Gaussian Processes. - Jessica N. Howard; Ro Jefferson; Anindita Maiti; Zohar Ringel (CoRR, 2024)

Asymptotic theory of in-context learning by linear attention. - Yue M. Lu; Mary I. Letey; Jacob A. Zavatone-Veth; Anindita Maiti; Cengiz Pehlevan (CoRR, 2024)

Bayesian RG Flow in Neural Network Field Theories. - Jessica N. Howard; Marc S. Klinger; Anindita Maiti; Alexander G. Stapleton (CoRR, 2024)

Neural network field theories: non-Gaussianity, actions, and locality. - Mehmet Demirtas; James Halverson; Anindita Maiti; Matthew D. Schwartz; Keegan Stoner (Mach. Learn. Sci. Technol., 2024)

Exploring the Energy Landscape of RBMs: Reciprocal Space Insights into Bosons, Hierarchical Learning and Symmetry Breaking. - Javier Quetzalcóatl Toledo-Marín; Anindita Maiti; Geoffrey C. Fox; Roger G. Melko (CoRR, 2025)