주제로 연구실 찾기

1. SNU·머신러닝

   홍영준MLSC Lab

   관련도관련 논문 15편비중 44%연구 분야에 명시
   • 2026Discontinuous Galerkin finite element operator network for solving non-smooth PDEsSIAM Journal on Scientific Computing
   • 2026Neural Quantum Spectral Operator Learning for Solving Partial Differential EquationsNeurIPS
   • 2026PDE-PFN: Prior-Data Fitted Neural PDE SolverNeurIPS
2. KAIST·데이터 마이닝

   박노성BigDyL

   관련도관련 논문 16편비중 23%
   • 2026PDE-PFN: Prior-Data Fitted Neural PDE SolverNeurIPS
   • 2026SBNO : Schrödinger Bridge Neural Operator for the Forward and Inverse Problems under Missing InformationNeurIPS
   • 2026How Much Memory Do We Need? Adaptive Memory Gate for Neural OperatorsICML
3. KU·AI for Science

   서현석IMPEL Lab

   관련도관련 논문 2편비중 9%연구 분야에 명시
   • 2026Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch modelsPhysics in Medicine and Biology
   • 2026Taming Gradient Perturbations: Probabilistic Reparameterization for Robust Physics-Informed MRI Protocol OptimizationICML
4. KAIST·데이터 마이닝

   박찬영DSAIL

   관련도관련 논문 4편비중 4%
   • 2026EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEsICML
   • 2026Physics-Embedded Graph Neural Operator for Interaction-Controlled Colloidal AggregationWater Research
   • 2026Tokenizing Antibody-Antigen Complex Structures via Energy-Based SurrogatesKDD
5. Yonsei·컴퓨터 비전

   박은병V-Lab

   관련도관련 논문 4편비중 11%
   • 2025PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh RepresentationsICLR
   • 2025Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann EquationSIAM Journal on Scientific Computing
   • 2023PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE SolversAAAI
6. SNU·AI for Science

   이종호LIST

   관련도연구 분야에 명시
7. KAIST·컴퓨터 비전

   김태균CV & Learning Lab

   관련도연구 분야에 명시
8. KU·머신러닝

   Anh TongStochastic Dynamics and Machine Learning Lab

   관련도연구 분야에 명시
9. Yonsei·머신러닝

   권도현PDE & AI Lab

   관련도연구 분야에 명시
10. SNU·머신러닝

    문태섭M.IN.D Lab

    관련도관련 논문 2편비중 5%
    • 2026PPIE-Net: Physics-inspired parametric input embedding for data-efficient surrogate modeling of parametric simulationsApplied Soft Computing
    • 2025Physics-Informed Fine-Tuning for Physics Discovery from Random and Sparse DataEngineering Applications of Artificial Intelligence
11. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 2편비중 3%
    • 2026Riemannian diffusion models on general manifolds via physics-informed neural networksICML
    • 2025Active learning with selective time-step acquisition for PDEsICML
12. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 2편비중 1%
    • 2026Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural NetworksPattern Recognition
    • 2025Integrating Locality-Aware Attention with Transformers for General Geometry PDEsIJCNN
13. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 2편비중 2%
    • 2026Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate GradientWACV
    • 2024Gaussian Plane-Wave Neural Operator for Electron Density EstimationICML
14. SNU·머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련도관련 논문 2편비중 5%
    • 2024Bounding the Rademacher Complexity of Fourier neural operatorsMachine Learning
    • 2024Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation LawsCommunications in Computational Physics
15. SNU·컴퓨터 비전

    최종현MPR Lab

    관련도관련 논문 2편비중 5%
    • 2024Operator-learning-inspired Modeling of Neural Ordinary Differential EquationsAAAI
    • 2024PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality ImagesICLR
16. Yonsei·데이터 마이닝

    박상현DELAB

    관련도관련 논문 2편비중 4%
    • 2024PIDiff: Physics Informed Diffusion Model for Protein Pocket-Specific 3D Molecular GenerationComputers in Biology and Medicine
    • 2024SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity PredictionECAI
17. POSTECH·머신러닝

    이남훈Computational Optimization Lab

    관련도관련 논문 1편비중 4%
    • 2026The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMMICLR
18. KAIST·로보틱스

    금동석AXE Lab

    관련도관련 논문 1편비중 3%
    • 2026Physics-informed neural networks for estimating flooding in a three-dimensional proton exchange membrane fuel cellInternational Journal of Heat and Mass Transfer
19. KAIST·컴퓨터 비전

    성민혁Visual AI Group

    관련도관련 논문 1편비중 2%
    • 2026DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE SolvingTMLR
20. SNU·로보틱스

    김현진LARR Lab

    관련도관련 논문 1편비중 1%
    • 2026Learning Solutions of PDEs with Symmetry and Kolmogorov-Arnold Neural NetworkInternational Journal of Control, Automation and Systems
21. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 1편비중 1%
    • 2026Position: Significant impact of numerical precision in scientific machine learningICML
22. KAIST·머신러닝

    김희영Engineering Data Science Lab

    관련도관련 논문 1편비중 3%
    • 2025Multi-task optimization with Bayesian neural network surrogates for parameter estimation of a simulation modelComputational Statistics & Data Analysis
23. KU·머신러닝

    김성웅, 임성빈AGI Lab

    관련도관련 논문 1편비중 3%
    • 2025Score-informed Neural Operator for Enhancing Ordering-based Causal DiscoveryNeurIPS
24. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 1편비중 1%
    • 2025DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous RelaxationAAAI
25. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 1편비중 1%
    • 2025Guided Diffusion Sampling on Function Spaces with Applications to PDEsNeurIPS
26. KU·AI for Science

    감태의Medical AI Lab

    관련도관련 논문 1편비중 1%
    • 2025Sharpness-Aware Minimization with Physics-Informed Regularizations for Predicting Semiconductor Material Properties in Molecular DynamicsChemometrics and Intelligent Laboratory Systems
27. KU·인간-AI 상호작용

    서승호HUI

    관련도관련 논문 1편비중 2%
    • 2025PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity RecognitionABC
28. POSTECH·컴퓨터 비전

    김광인MLV Group

    관련도관련 논문 1편비중 8%
    • 2024Active learning guided by efficient surrogate learnersAAAI
29. KU·음성·오디오

    김찬우SLPL

    관련도관련 논문 1편비중 4%
    • 2024Physics Informed Distillation for Diffusion ModelsTMLR
30. KAIST·머신러닝

    안성수SPML Lab

    관련도관련 논문 1편비중 2%
    • 2024Gaussian Plane-Wave Neural Operator for Electron Density EstimationICML
31. POSTECH·AI for Science

    김원화, 류일우MIP Lab

    관련도관련 논문 1편비중 1%
    • 2024Decoupled Marked Temporal Point Process using Neural Ordinary Differential EquationsICLR
32. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련도관련 논문 1편비중 1%
    • 2024Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential EquationAAAI
33. KAIST·머신러닝

    박진규System Intelligence Lab

    관련도관련 논문 1편비중 2%
    • 2023Learning Efficient Surrogate Dynamic Models with Graph Spline NetworksNeurIPS
34. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 1편비중 1%
    • 2023Deep Neural Network for Solving Differential Equations Motivated by Legendre-Galerkin ApproximationInternational Journal of Numerical Analysis and Modeling

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.