模型可解释性
Sep 16, 2022·
·
1 min read
Shenghui (Samuel) Gu

Abstract
简单介绍模型的可解释性。
Date
Sep 16, 2022 4:00 PM — 5:00 PM
Event
Meituan internal sharing session
Location
Meituan
221 Huangxing Road, Yangpu District, Shanghai, Shanghai 200082
简单介绍模型的可解释性。
参考的这位 UP 主的视频【一起啃书】Interpretable Machine Learning,建议去看看。

Authors
Shenghui (Samuel) Gu
(he/him)
Postdoctoral Researcher
Postdoctoral Researcher at the University of Ottawa specializing in Trustworthy AI and Software Engineering, holding a Ph.D. from Nanjing University.
Research lies at the intersection of AI Safety and System Reliability, with deep expertise spanning LLM-driven testing, search-based software engineering for autonomous systems, and AIOps for distributed architectures.
Dedicated to developing rigorous, interpretable, and scalable methodologies that leverage generative AI to solve complex validation challenges in safety-critical and large-scale industrial systems.