2 papers
cs.LG2025
KITINet: Kinetics Theory Inspired Network Architectures with PDE Simulation Approaches
Mingquan Feng, Yifan Fu, Tongcheng Zhang +3
Despite the widely recognized success of residual connections in modern neural networks, their design principles remain largely heuristic. This paper introduces KITINet (Kinetics T…
cs.LG2025
KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches
Mingquan Feng, Yixin Huang, Yifan Fu +2
The design of optimization algorithms for neural networks remains a critical challenge, with most existing methods relying on heuristic adaptations of gradient-based approaches. Th…