← Search

Wenxuan Pan

2 accepted papers

2026

SAEs-BrainMap: Unveiling the Emergence of Specialized Concepts in Deep Models via Brain Alignment

ICML 2026poster

Understanding the internal mechanisms of Deep Neural Networks remains a significant challenge, particularly in elucidating how generic visual concepts emerge within latent spaces. In this work, we propose SAEs-BrainMap, a novel framework that utilizes human brain activation patterns from the ventral…

Cited by 0SourceScholar
2023

Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks

IJCAI 2023poster

Children possess the ability to learn multiple cognitive tasks sequentially, which is a major challenge toward the long-term goal of artificial general intelligence. Existing continual learning frameworks are usually applicable to Deep Neural Networks (DNNs) and lack the exploration on more brain-in…