应兰州大学核科学与技术学院、稀有同位素前沿科学中心邀请，上海交通大学燕雄斌博士将于2025年3月13日来校进行学术交流并作报告。

报告题目：Deep learning for Inverse Problems in Partial Differential Equation

报告时间：2025年3月13日（星期四）10：00    

报告地点：兰州大学二分部现物楼214室

腾讯会议：463-1781-4817

欢迎广大师生参加！

【报告摘要】

This report focuses on solving inverse problems of partial differential equations using deep learning methods. The content is divided into two main parts: (1) We propose an ODE-based diffusion sampling method for solving linear inverse problems by integrating diffusion models (a class of generative models) with both data and physical model information; (2) Leveraging the expressive power of neural networks and the information from the studied physical model, we introduce a data-free deep learning approach for full-waveform inversion within a Bayesian framework. Extensive numerical experiments have validated the effectiveness of the proposed methods.

【报告人简介】

燕雄斌, 2022年博士毕业于兰州大学, 现为上海交通大学数学科学学院博士后, 在JSC, JIIP, CMAME, JCAM等期刊上发表SCI论文十余篇, 现主持国家自然科学基金1项.

                                                                                                                                                              核科学与技术学院

稀有同位素前沿科学中心

2025年3月12日