A paper, xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition, written by Artyom Stitsyuk and Jaesik Choi is accepted at AAAI-25. xPatch domonstrates the best (STOA) performance in many contemporary time series benchmarks. Now, xPatch ranks top spots in… Continue Reading →
A paper, Diverse Rare Sample Generation with Pretrained GANs, written by Subeen Lee, Jiyeon Han, Soyeon Kim and Jaesik Choi is accepted at AAAI-25.
Prof. Jaesik Choi is elected as an associate member of the National Academy of Engineering of Korea. The National Academy of Engineering of Korea was established to foster further innovation in engineering and technology by recognizing engineers who have made… Continue Reading →
Dr. Haedong Jeong joins the School of Art & Technology at Korea University as an assistant professor. Congratulate Prof. Jeong! https://creative.sogang.ac.kr/a6/
KAIST’s Center for Explainable AI has released an open-source plug-and-play framework that simplifies AI explainability without requiring expert knowledge. The framework automatically detects model structures, recommends compatible explanation algorithms, and provides visual and quantitative evaluations in its “Auto Explanation” mode…. Continue Reading →
Prof. Nari Kim received the prestigious award from the Chairperson of the Personal Information Protection Commission with the contribution to the technical contributions of the Korean privacy law. https://news.kaist.ac.kr/news/html/news/?mode=V&mng_no=40090
Our paper, Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities without Label Information, written by Youngju Joung, Sehyun Lee and Jaesik Choi, is received the best paper honorable mention at International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2024).
Jiyeon Han (PhD student) is invited to present at Ai4 Summit 2024 AI Research Summit https://app.swapcard.com/widget/event/ai4-2024/person/RXZlbnRQZW9wbGVfMzE1NzkwMjg=
Kyowoon Lee successfully defended his PhD thesis, Learning to Achieve Goals via Curriculum and Hierarchical Reinforcement Learning. Congratulations Dr. Lee!
A paper, Memorizing Documents with Guidance in Large Language Models, written by Bumjin Park and Jaesik Choi is accepted at IJCAI-2024. 1. Problem This work tackles the problem of storing document-wise memories in LLMs. 2. Proposed Method This work… Continue Reading →
