公开(公告)号：US20220027741A1

公开(公告)日：2022-01-27

申请号：US17332696

申请日：2021-05-27

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： JongChul Ye ,  Byeongsu Sim ,  Gyutaek Oh

IPC: G06N3/08 ,  G06N3/04 ,  G06K9/62

Abstract: Disclosed are an unsupervised learning method and an apparatus therefor applicable to general inverse problems. An unsupervised learning method applicable to inverse problems includes receiving a training data set and training an unsupervised learning-based neural network generated based on an optimal transport theory and a penalized least square (PLS) approach using the training data set, wherein the receiving of the training data set includes receiving the training data set including unmatched data.

公开(公告)号：US12223433B2

公开(公告)日：2025-02-11

申请号：US17332696

申请日：2021-05-27

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： JongChul Ye ,  Byeongsu Sim ,  Gyutaek Oh

IPC: G06N3/088 ,  G06F18/214 ,  G06N3/045

Abstract: Disclosed are an unsupervised learning method and an apparatus therefor applicable to general inverse problems. An unsupervised learning method applicable to inverse problems includes receiving a training data set and training an unsupervised learning-based neural network generated based on an optimal transport theory and a penalized least square (PLS) approach using the training data set, wherein the receiving of the training data set includes receiving the training data set including unmatched data.