1. 일시: 2025년 3월 20일(목), 10:30-12:30 ​ 2. 장소: 판교 테크노밸리 산업수학혁신센터 세미나실 ​ 3. 경기 성남시 수정구 대왕판교로 815, 기업지원허브 231호 국가수리과학연구소 / 무료주차는 2시간 지원됩니다. ​ 4. 발표자: 최재웅 교수(성균관대학교) ​ 5. 주제: Advancing Neural Optimal Transport: Improving Stability and Overcoming Fake Solutions ​ Neural Optimal Transport (OT) has emerged as a powerful tool for generative modeling and image-to-image translation, but existing methods suffer from instability and fake solutions. In this talk, I will introduce two recent advancements that address these issues. First, I will present Displacement Interpolation Optimal Transport Model (DIOTM), which stabilizes training by leveraging displacement interpolation. Second, I will discuss Optimal Transport Plan learning (OTP), a novel approach that overcomes fake solutions by introducing smoothing on the source measure. These methods improve the reliability of neural OT, expanding its effectiveness in machine learning applications.