Upcoming

• 13/08/2026  Saunders, Neil (City St George’s, University of London) Springer Fibres, Stacking Maps & Partial Flag Varieties (Announcement)

Past

• 12/01/2026  Jaemoo Choi (Georgia Tech.) Efficient and Scalable Diffusion Sampling from an Optimal Transport Perspective (Announcement, Zoom)

• 14/01/2026  Byeonghu Na (KAIST Institute for Robotics) Post-training Alignment for Probabilistic Generative Models (Announcement, Zoom)

• 21/01/2026  Choi, Ilkyoo (한국외국어대학교) Using Artificial Intelligence for the Rectilinear Crossing Number (Announcement, Zoom)

• 11/02/2026  Albert No (Yonsei University) What Does It Mean for an LLM to Forget? Recent Progress in Machine Unlearning (Announcement)

• 12/02/2026  Min, Chanho (아주대학교) Differentiable Counting for Latent Rule Discovery via Convolution (Announcement)

• 20/02/2026  Kyungwoo Song (Yonsei University) Statistical Methods for Improving LLM Performance (Announcement)

• 04/03/2026  Taehyun Hwang (Seoul National University) Contextual Combinatorial Bandits with Nonlinear Function approximation (Announcement, Zoom)

• 11/03/2026  Yung-Kyun Noh (Hanyang University & KIAS) Revisiting Frequentist Foundations: Insights for Machine Learning Research (Announcement)

• 18/03/2026  Yung-Kyun Noh (Hanyang University & KIAS) Maximum likelihood: why we do not seek the most likely data (Announcement)

• 20/03/2026  Jaewook Lee (Seoul National University) Stability Analysis Toward Safe Physical AI (Announcement, Zoom)

• 30/03/2026  Hayat, Amaury (Ecole des Ponts (IP Paris)) How can AI Help Mathematicians? (Announcement, Zoom)

• 01/04/2026  Yung-Kyun Noh (Hanyang University & KIAS) Diffusion (& flow matching) models, what we understand and what remains open (Announcement)

• 08/04/2026  Kim, Taeyoung (KIAS) Foundation Model for Conservation Laws / Effective Field Theory for Neural Networks (Announcement, Zoom)

• 08/04/2026  Im, Seonghyuk (KIAS) Finding large structures in graphs and hypergraphs (Announcement)

• 09/04/2026 Sangwoong Yoon (UNIST) Generative Modeling and Reinforcement Learning: Energy, Reward, and Value (Announcement, Zoom)

• 17/04/2026  Mingyu Kim (Kookmin University) Safety-Guided Flow (SGF): A Unified Framework for Negative Guidance in Safe Generation (Announcement, Zoom)

• 06/05/2026  Seong Joon Oh (KAIST AI) Deploying general AI in the private world (Announcement, Zoom)

• 20/05/2026 Zhai, Zhengment (Arizona State University) Reservoir Computing: Machine Learning Meets Nonlinear Dynamics (Announcement, Zoom)

• 10/06/2026 Hyejin Kim (Cornell University) Reinforcement Learning for Hardware-Aware Reconfigurable Atom Array Compilations (Announcement, Zoom)

• 17/06/2026 Jiseok Chae (KAIST) Constructing Convergent Methods for Minimax Optimization Problems (Announcement, Zoom)

• 22/06/2026 Kim, Eun-Ah (Cornell University) Representation Learning for Hard Data Problems in Quantum Matter (Announcement, Zoom)

• 02/07/2026 Elsborg, Jonas (Technical University of Denmark) Efficient electronic charge density modeling via Gaussian ansätze (Announcement)

• 10/07/2026 Minjae Kwon (University of Virginia) Safe Decision-Making When the World Changes (Announcement)