KIAS Center for AI and Natural Sciences 2026 Winter Workshop
Goseong (Rene Bleu by Sol Beach) | 2026-01-05 - 2026-01-08
All times in KST (UTC+9)
Research Invited Tutorial Poster Lunch Dinner Excursion Travel
Time
09:00
09:30
10:00
10:30
11:00
11:30
12:00
12:30
13:00
13:30
14:00
14:30
15:00
15:30
16:00
16:30
17:00
17:30
18:00
18:30
Day 1
Mon 01/05
09:00-12:20
KIAS → Goseong
12:20-13:50
Lunch
13:50-14:00
Opening
14:00-14:20
Joon-Hyuk Ko
KIAS CAINS
Learning statistically accurate neural surrogate dynamics for chaotic systems through phase space neighborhood information
14:20-15:00
Youngjoon Hong
Seoul National University
Deep Generative Models and Foundation Models for Scientific Problems
15:00-15:20
Break
15:20-15:40
Sungyoon Lee
Hanyang University
SGD, Transformer, In-Context Learning, and Implicit Bias
15:40-16:00
Jinseong Park
KIAS
Data Privacy in the Era of Generative AI
16:00-16:40
Wonseok Hwang
University of Seoul
On the Reliability of Large Language Models
16:40-17:00
Break
17:00-17:20
Seok Hyeong Lee
Seoul National University
Simple and explicit models for neural networks
17:20-17:40
Yoonsoo Nam
KAIST
Revisiting Batch Normalization from Lazy/Rich Dynamics
17:40-18:10
Poster Session
18:10-
Dinner
Day 2
Tue 01/06
09:00-09:20
Geuntaek Seo
POSTECH
Asymptotic convergence of nonconvex Wasserstein gradient flows
09:20-09:40
Carl-Fredrik Nyberg Brodda
KIAS HCMC
Decision problems in Artin and braid groups
09:40-10:20
Donghwan Kim
KAIST
Statistical distances and optimization in generative models
10:20-10:40
Break
10:40-11:40
Yoon Kim
Massachusetts Institute of Technology
Expressive and Efficient Architectures for Language Modeling
11:40-12:20
Yoon Kim
Massachusetts Institute of Technology
Expressive and Efficient Architectures for Language Modeling
12:20-13:40
Lunch
13:40-14:00
Kwang Hyun Cho
KIAS
Accelerating Path Integral Molecular Dynamics Using Energy-Based Models
14:00-14:20
Sejin Kim
KIAS
Inverse Problem in Physics & AI: Geometry Reconstruction from Entanglement Entropy using Transformer Models
14:20-15:00
Hyunseung Kim
LG AI Research
Advancing Materials AI for a Better Life
15:00-15:20
Break
15:20-15:40
Jaeyong Lee
Chung-Ang University
Extending Neural Operators: From Physics-Informed Learning to Numerical Integration Frameworks
15:40-16:00
Sung Woong Cho
Inha University
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids
16:00-16:40
Seungwu Han
Seoul National University/ KIAS
Universal machine learning force fields and applications
16:40-17:00
Break
17:00-17:20
Hoyun Choi
KIAS
A Deep Reinforcement Learning for Graph Generation with Arbitrary Constraints
17:20-17:40
Youngkyoung Bae
Seoul National University
Anti-correlated Noise Provably Prefers Flat Minima of Neural Networks
17:40-18:20
Junghyo Jo
Seoul National University
Multiplicative Learning from Observation-Prediction Ratios
18:20-
Dinner (Banquet)
Day 3
Wed 01/07
09:00-09:20
Hyunwoo Lee
KIAS
Beyond Gaussian Initializations: Signal Preserving Weight Initialization for Odd-Sigmoid Activations
09:20-09:40
Minjung Gim
NIMS
From Deterministic Optimal Control Problems to Stochastic Differential Games: A PINN-Based Policy Iteration Approach for Nonconvex HJI Equations
09:40-10:20
Jy-yong Sohn
Yonsei University
Reasoning Capabilities of Foundation Models
10:20-10:40
Break
10:40-11:40
Daniel Lee
KIAS
Tutorial on Stochastic Control and Schrödinger Bridges
11:40-12:00
Byung-Hak Hwang
KIAS
Formalizing mathematics: why it matters now
12:00-12:20
Hyojae Lim
Johann Radon Institute for Computational and Applied Mathematics (RICAM)
New Perspectives on LLM-based Theorem Proving and Formalization
12:20-13:40
Lunch
13:40-18:20
Excursion
18:20-
Dinner
Day 4
Thu 01/08
09:00-09:20
Junho Choi
Korea Advanced Institute of Science and Technology
A physics-Informed operator learning network for solving the 3D Navier-Stokes equations
09:20-09:40
Jinsook Kim
KIAS
Why Do Large Language Models Work?
09:40-10:20
Jaemin Seo
Chung-Ang University
Machine learning for nuclear fusion: plasma diagnosis, prediction, and control
10:20-10:40
Break
10:40-11:00
Jongmin Lee
Pusan National University
Huber means on Riemannian manifolds
11:00-11:20
Dongwon Kim
KIAS
On the Theoretical Foundations of Neural Network–Based Time Series: Stationarity, Ergodicity, and Generalization
11:20-11:40
Jaehoon Chung
KIAS
Nearest Neighbor Search on the Hypersphere: Methods, Limits, and Data-Aware Design
11:40-12:20
Jaewoong Choi
Sungkyunkwan University
Generative Modeling via Neural Optimal Transport
12:20-13:40
Lunch
13:40-17:00
Goseong -> KIAS
KIAS Center for AI and Natural Sciences 2026 Winter Workshop - Program Schedule