290 citations · 506 across the 7 of their papers we have counts for
7 papers
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
Jaehoon Lee, Lechao Xiao, Samuel S. Schoenholz +4
A longstanding goal in deep learning research has been to precisely characterize training and generalization. However, the often complex loss landscapes of neural networks have mad…
The four-loop remainder function and multi-Regge behavior at NNLLA in planar N=4 super-Yang-Mills theory
Lance J. Dixon, James M. Drummond, Claude Duhr +1
We present the four-loop remainder function for six-gluon scattering with maximal helicity violation in planar N=4 super-Yang-Mills theory, as an analytic function of three dual-co…
The six-point remainder function to all loop orders in the multi-Regge limit
Jeffrey Pennington
We present an all-orders formula for the six-point amplitude of planar maximally supersymmetric N=4 Yang-Mills theory in the leading-logarithmic approximation of multi-Regge kinema…
Non-perturbative String Theory from Water Waves
Ramakrishnan Iyer, Clifford V. Johnson, Jeffrey S. Pennington
We use a combination of a 't Hooft limit and numerical methods to find non-perturbative solutions of exactly solvable string theories, showing that perturbative solutions in differ…
String Theory and Water Waves
Ramakrishnan Iyer, Clifford V. Johnson, Jeffrey S. Pennington
We uncover a remarkable role that an infinite hierarchy of non-linear differential equations plays in organizing and connecting certain {hat c}<1 string theories non-perturbatively…
D-Branes and Fluxes in Supersymmetric Quantum Mechanics
James E. Carlisle, Clifford V. Johnson, Jeffrey S. Pennington
Type 0A string theory in the (2,4k) superconformal minimal model backgrounds, with background ZZ D-branes or R-R fluxes can be formulated non-perturbatively. The branes and fluxes…