Participants
Approved public list. Names are shown in Latin ordering.
| # | Participant | Abstract | Material |
|---|---|---|---|
| 1 | — | ||
| 2 | deep learning theorynatural language processing | — | |
| 3 | Kwang Hyun Cho [KIAS] physical chemistrytheoretical chemistry | — | |
| 4 | Physics Informed Machine LeaningNeural Galerkin Scheme | ||
| 5 | — | — | |
| 6 | Network ScienceGraph Neural NetworkReinforcement LearningDiscrete Diffusion model | ||
| 7 | ProbabilityPartial Differential Equations | — | — |
| 8 | Jaesung Choi [KIAS] | — | — |
| 9 | Generative ModelsOptimal TransportDiffusion ModelFlow Matching | ||
| 10 | partial differential equationsoperator learning networknumerical methodsspectral methodswater-wave models | ||
| 11 | Trustworthy AILLMDiffusion | — | |
| 12 | Jaehoon Chung [KIAS] Computational GeometryNeural Combinatorial Optimization | ||
| 13 | |||
| 14 | Scientific Machine LearningPhysics-Informed Machine LearningNeural PDE SolversNeural Operators | — | |
| 15 | Seungwu Han [Seoul National University/ KIAS] | — | |
| 16 | Youngjoon Hong [Seoul National University] | — | |
| 17 | Algebraic combinatoricsAI for mathematicsFormalizationRepresentation theory | Talk | |
| 18 | AI AlignmentPost-TrainingNLP Application (Legal AI)Information RetrievalAI4Science (Bio)AI Safety | ||
| 19 | Changbong Hyeon [KIAS] | — | — |
| 20 | Junghyo Jo [Seoul National University] | Talk | |
| 21 | deep learning applicationsmodel compressionmodel editinggeometric methods | — | |
| 22 | MathematicsLLM ReasoningFormal Verification | — | — |
| 23 | OptimizationGenerative Model | ||
| 24 | Dongwon Kim [KIAS] Time series modelingNeural network based time seriesGeneralization BoundsAnomaly detectionChange point test | — | |
| 25 | — | ||
| 26 | Hyunseung Kim [LG AI Research] Materials DiscoveryAI4ScienceGenerative ModelsProcess System EngineeringComputational Fluid Dynamics | ||
| 27 | Jeong Han Kim [KIAS] | — | — |
| 28 | Jinsook Kim [KIAS] Foundations of Machine LearningNatural Language ProcessingLearning to Reason | — | |
| 29 | Sejin Kim [KIAS] generative AIgauge/gravity dualitytransformerquantum gravityblack hole | ||
| 30 | Machine LearningNatural Language ProcessingDeep Learning | ||
| 31 | scientific machine learningneural ordinary differential equationsdynamical systems | Talk | |
| 32 | OptimizationGenerative ModelsOptimal TransportPartial Differential Equations | — | — |
| 33 | Joonhyun La [KIAS] Partial Differential EquationsMath-AI interaction | — | — |
| 34 | Machine LearningComputational NeuroscienceRobotics | ||
| 35 | Hyunwoo Lee [KIAS] Weight InitializationActivation Function | ||
| 36 | AI4ScienceScientific Machine LearningPhysics-Informed LearningNeural PDE SolversNeural OperatorsInverse Problems | Talk | |
| 37 | Geometric statisticsStatistical inference | ||
| 38 | statistical learning theorybanditsreinforcement learning theoryoptimizationdeep learning theoryonline learningstatistics | — | |
| 39 | Kangwon Lee [KIAS] | — | — |
| 40 | Seok Hyeong Lee [Seoul National University] | ||
| 41 | Seungyun Lee [Seoul National University] | — | |
| 42 | generalizationlearning dynamicsAI Safetyin-context learningmemorization in generative modelsTransformeredge of stability | ||
| 43 | Approximation thoery for machine learningFormal theorem provingAutoformalization | Talk | |
| 44 | GNNCNNLLMGenerative Model | — | — |
| 45 | Kisun Nam [KIAS] | — | — |
| 46 | Dynamics of networklinear networksfeature learningtransformer | — | |
| 47 | Tae Won Noh [KIAS] | — | — |
| 48 | Yung-Kyun Noh [Hanyang University / KIAS] Machine learningdiffusion modelsNonparametric methods | — | — |
| 49 | Combinatorial algebra | — | |
| 50 | TopologyGeometryDynamics | — | — |
| 51 | Diffusion modelSafe AITrustworthy AIDifferential Privacy | Talk | |
| 52 | Geuntaek Seo [POSTECH] | Talk | |
| 53 | Physics+AINuclear fusionQuantum machine learningPlasma physics | ||
| 54 | AnalysisPDEProbability | — | — |
| 55 | Dongchan Shin [KAIST] Learning TheoryLanguage Models | — | — |
| 56 | Information TheoryMachine LearningFoundation Models | Talk | |
| 57 | Young-Woo Son [KIAS] | — | — |
| 58 | AI-integrated Physical system | — | — |
| 59 | Statistical physicsPhysics for AIAI for physicsMechanistic interpretabilityLearning dynamicsScaling laws | — | |
| 60 | plasma chemistry networkatomic processesstrongly couple plasma physics | — | — |
| 61 | Polymer PhysicsDeep Learning | — | — |
| 62 | Machine Learning Force FieldPolydisperse Glass (NP-hard+RL)Polymer PhysicsPhysical ChemistryChemical Reaction Network | — | — |