3 papers
math.OC2025
New complementarity formulations for root-finding and optimization of piecewise-affine functions in abs-normal form
Yulan Zhang, Kamil A. Khan
Nonsmooth functions have been used to model discrete-continuous phenomena such as contact mechanics, and are also prevalent in neural network formulations via activation functions…
math.OC2025
Computing AD-compatible subgradients of convex relaxations of implicit functions
Yingkai Song, Kamil A. Khan
Automatic generation of convex relaxations and subgradients is critical in global optimization, and is typically carried out using variants of automatic/algorithmic differentiation…
cs.DC2023
A Reinforcement Learning Framework with Region-Awareness and Shared Path Experience for Efficient Routing in Networks-on-Chip
Kamil Khan, Sudeep Pasricha
Network-on-chip (NoC) architectures provide a scalable, high-performance, and reliable interconnect for emerging manycore systems. The routing policies used in NoCs have a signific…