Kookmin University student’s paper on AI accepted for presentation at ICML 2026

A research paper on artificial intelligence (AI) co-authored by a Kookmin University student has been accepted for presentation at the 43rd International Conference on Machine Learning (ICML), the school said Monday. Kim Min-woo, a senior in the university’s department of software engineering, is the first author of the paper titled “Memory as Dynamics: Learning Reliability-Guided Predictive Models for Online Video Perception.” The university said the paper presents a new framework in the field of online video perception that reinterprets video memory as a “dynamic latent process” rather than a “static buffer.” In the paper, Kim introduced reliability-guided predictive memory (RPM), a framework that explicitly regulates when and how predictive dynamics should influence online video perception. His research demonstrated that the new framework utilized temporal information in video sequences more accurately and efficiently. By dynamically estimating the reliability of each video frame and incorporating this assessment into memory updates and predictions, the study showed that

Original source: Korea Times