Optimizing Neural Networks via Koopman Operator Theory. - Akshunna S. Dogra; William T. Redman (NeurIPS, 2020)

Hamiltonian Neural Networks for solving differential equations. - Marios Mattheakis; David Sondak; Akshunna S. Dogra; Pavlos Protopapas (CoRR, 2020)

A blueprint for building efficient Neural Network Differential Equation Solvers. - Akshunna S. Dogra (CoRR, 2020)

Local error quantification for efficient neural network dynamical system solvers. - Akshunna S. Dogra; William T. Redman (CoRR, 2020)

Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective. - William T. Redman; Tianlong Chen 001; Akshunna S. Dogra; Zhangyang Wang (CoRR, 2021)

Universality of Winning Tickets: A Renormalization Group Perspective. - William T. Redman; Tianlong Chen 001; Zhangyang Wang; Akshunna S. Dogra (ICML, 2022)

SHAPER: Can You Hear the Shape of a Jet? - Demba E. Ba; Akshunna S. Dogra; Rikab Gambhir; Abiy Tasissa; Jesse Thaler (CoRR, 2023)