GitHub

[BUG] Gradient compilation error for nested functions with custom gradient

When I try to compute gradients with a kernel calling a function that calls a function that has custom gradients, I get a compiler error. A direct call of the custom ...
IEEE

Comparing Policy Gradient and Value Function Based Reinforcement Learning Methods in Simulated Electrical Power Trade

Abstract: In electrical power engineering, reinforcement learning algorithms can be used to model the strategies of electricity market participants. However, traditional value function based ...
IEEE

Stochastic Optimization for Nonconvex Problem With Inexact Hessian Matrix, Gradient, and Function

Abstract: Trust region (TR) and adaptive regularization using cubics (ARC) have proven to have some very appealing theoretical properties for nonconvex optimization by concurrently computing function ...
GitHub

Understanding Deep Gradient Leakage via Inversion Influence Functions

Note you don't need to really run the inversion process. Just input your model, data, and noise into the function, then you can easily get $I^2F$ or its lower bound ...
C&EN

Meta-Generalized Gradient Approximations with a Dielectric Function Model in the Time-Dependent Density Functional Theory for Optical Properties of Solid Materials

Department of Physics and Engineering Physics, Tulane University, New Orleans, Louisiana 70118, United States ...