Upcoming

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

• 22/04/2026  Seong Joon Oh (KAIST AI) Deploying general AI in the private world (Announcement)

Past

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

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

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

• 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)

• 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)

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

• 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)

• 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)