2025
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency
NeurIPS 2025poster
We study Transformers through the perspective of optimal control theory, using tools from continuous-time formulations to derive actionable insights into training and architecture design. This framework improves the performance of existing Transformer models while providing desirable theoretical gua…