Upcoming

•10/12/2024 Prof. Melanie Weber (Harvard Univ.) TBA (Announcement, Zoom)

•27/11/2024 Prof. Soo Kyung Kim (Ewha Womans Univ.) TBA (Announcement, Zoom)

•20/11/2024 Prof. Alexander Korotin, PhD Student Nikita Gushchin, PhD Student Sergey Kholkin (Skoltech) TBA (Announcement, Zoom)

•20/11/2024 Dr. Jakwang Kim (Univ. of British Columbia) TBA (Announcement, Zoom)

Past

•13/11/2024 Prof. Changhee Lee (Korea Univ.) Toward Deep Learning Approach to Feature Selection and Beyond (Announcement, Zoom)

•10/10/2024 Prof. Jisu Kim (Seoul National Univ.) Topological Data Analysis and Machine Learning (Announcement, Zoom)

•7/10/2024 Dr. Jongha Ryu (MIT) Operator SVD with Neural Networks via Nested Low-Rank Approximation (Announcement, Zoom)

•30/9/2024 Prof. Albert No (Yonsei Univ.) Rate-Distortion Theoretic Approach in Privacy-Constrained Mean Estimation (Announcement, Zoom)

•25/9/2024 Prof. Taeho Yoon (Seoul National Univ.) Family of Optimal Acceleration for Minimax and Fixed-Point Problems (Announcement, Zoom)

•10/9/2024 Prof. Jy-yong Sohn (Yonsei Univ.) Optimizing Embeddings using Contrastive Loss (Announcement)

•4/9/2024 Prof. Kyungwoo Song (Yonsei Univ.) Robust Transfer Learning for Out-of-Distribution Dataset (Announcement)

•8/22/2024 Dr. Gilchan Park (Brookhaven National Laboratory) Natural Language Processing-based Literature and Text Data Analysis for Efficient Scientific Experiments (Announcement, Zoom)

•13/8/2024 Dr. Maciej Wołczyk, Bartłomiej Cupiał (IDEAS NCBR / University of Warsaw) Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem (Announcement)

•1/8/2024 Prof. Ivan Fesenko (Westlake Univ.) From two Grothendieck's math legacies to quantum computing and deep neural networks (Announcement)

•17/7/2024 Prof. Hyeontae Jo (Korea Univ.) Physics-informed neural networks: Fitting a mathematical model to real data using artificial neural networks (Announcement, Zoom)

• 3/7/2024 Prof. Seungchan Ko (Inha Univ.) Mathematical Theory of Neural Network Approximation and its Application to Scientific Machine Learning (Announcement, Zoom)

• 25/6/2024 Prof. Minjung Gim (NIMS) Anomaly Detection in Smart Factory system through Transductive-based Random Cut Forest (Announcement)

• 12/6/2024 Prof. Donghun Lee (Korea Univ.) Dawn of a New Era: Computers in Mathematics Olympiads (Announcement, Zoom)

• 23/5/2024 Prof. Kyu-Hwan Lee (University of Connecticut) AI-assisted mathematical discovery: murmurations of elliptic curves (Announcement, Zoom)

• 22/5/2024 Prof. Jeongyeol Kwon (Univ. of Wisconsin-Madison) Foundations of Real-World Reinforcement Learning (Announcement, Zoom)

• 16/5/2024 Prof. Donghwan Kim (KAIST) How to make the gradient descent-ascent converge to local minimax optima (Announcement, Zoom)

• 3/4/2024 Dr. Namkyeong Cho (POSTECH) On the stability of Lipschitz continuous control problems and its application to reinforcement learning (Announcement, Zoom)

• 20/3/2024 Prof. Tian Han (Stevens Institute of Technology) Towards Expressive Hierarchical Generative Models  (Announcement, Zoom)

• 13/3/2024 Jaemoo Choi (Seoul National Univ.) TVarious Formulations of Optimal Transport Problems and Its Applicaion to Generative Modeling  (Announcement, Zoom)

• 6/3/2024 Dr. Junho Choi (KAIST) Can machine learcing methods be a game-changer in solving PDEs?  (Announcement, Zoom)

• 28/2/2024 Prof. Ernest Ryu (Seoul National Univ.)  In Deep Learning, What Should Mathematical Theory Look Like? (Announcement, Zoom)

• 20/2/2024 Prof. Sungbin Lim (Korea Univ.) Score-based Generative Models in Hilbert Spaces (Announcement, Zoom)

• 17/1/2024 Dr. Seong-woong Cho (SAARC)  Deep Learning for Advanced PDE Solvers and Operator Learing (Announcement, Zoom)

• 4/1/2024 Woojin Cho (Yonsei Univ.) Scientific Machine Learning: Solving Physical Problems with PINN and Neural Operators (Announcement, Zoom)

• 3/1/2024 Prof. Sungjoon Choi (Korea Univ.) Emerging Trends in Robotics: How can LLMs and Robotics be integrated? (Announcement, Zoom)