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Korea AI Labs

과학적 머신러닝

Scientific Machine Learning · 연구실 34곳 · 논문 73편

다른 주제·대학과 함께 찾기
POSTECH4/15
KU7/23
Yonsei3/37
KAIST14/57
SNU6/84
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. SNU머신러닝

    홍영준MLSC Lab

    관련 논문 15편비중 44%연구 분야에 명시
    • 2026Discontinuous Galerkin finite element operator network for solving non-smooth PDEs SIAM Journal on Scientific Computing
    • 2026Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations NeurIPS
    • 2026PDE-PFN: Prior-Data Fitted Neural PDE Solver NeurIPS
  2. KAIST데이터 마이닝

    박노성BigDyL

    관련 논문 16편비중 23%
    • 2026PDE-PFN: Prior-Data Fitted Neural PDE Solver NeurIPS
    • 2026SBNO : Schrödinger Bridge Neural Operator for the Forward and Inverse Problems under Missing Information NeurIPS
    • 2026How Much Memory Do We Need? Adaptive Memory Gate for Neural Operators ICML
  3. KUAI for Science

    서현석IMPEL Lab

    관련 논문 2편비중 9%연구 분야에 명시
    • 2026Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch models Physics in Medicine and Biology
    • 2026Taming Gradient Perturbations: Probabilistic Reparameterization for Robust Physics-Informed MRI Protocol Optimization ICML
  4. KAIST데이터 마이닝

    박찬영DSAIL

    관련 논문 4편비중 4%
    • 2026EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs ICML
    • 2026Physics-Embedded Graph Neural Operator for Interaction-Controlled Colloidal Aggregation Water Research
    • 2026Tokenizing Antibody-Antigen Complex Structures via Energy-Based Surrogates KDD
  5. Yonsei컴퓨터 비전

    박은병V-Lab

    관련 논문 4편비중 11%
    • 2025PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations ICLR
    • 2025Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation SIAM Journal on Scientific Computing
    • 2023PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers AAAI
  6. SNUAI for Science

    이종호LIST

    연구 분야에 명시
  7. KAIST컴퓨터 비전

    김태균CV & Learning Lab

    연구 분야에 명시
  8. KU머신러닝

    Anh TongStochastic Dynamics and Machine Learning Lab

    연구 분야에 명시
  9. Yonsei머신러닝

    권도현PDE & AI Lab

    연구 분야에 명시
  10. SNU머신러닝

    문태섭M.IN.D Lab

    관련 논문 2편비중 5%
    • 2026PPIE-Net: Physics-inspired parametric input embedding for data-efficient surrogate modeling of parametric simulations Applied Soft Computing
    • 2025Physics-Informed Fine-Tuning for Physics Discovery from Random and Sparse Data Engineering Applications of Artificial Intelligence
  11. KAIST머신러닝

    이주호SIML Lab

    관련 논문 2편비중 3%
    • 2026Riemannian diffusion models on general manifolds via physics-informed neural networks ICML
    • 2025Active learning with selective time-step acquisition for PDEs ICML
  12. KU머신러닝

    이성환PRML Lab

    관련 논문 2편비중 1%
    • 2026Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks Pattern Recognition
    • 2025Integrating Locality-Aware Attention with Transformers for General Geometry PDEs IJCNN
  13. POSTECH머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 2편비중 2%
    • 2026Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient WACV
    • 2024Gaussian Plane-Wave Neural Operator for Electron Density Estimation ICML
  14. SNU머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련 논문 2편비중 5%
    • 2024Bounding the Rademacher Complexity of Fourier neural operators Machine Learning
    • 2024Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws Communications in Computational Physics
  15. SNU컴퓨터 비전

    최종현MPR Lab

    관련 논문 2편비중 5%
    • 2024Operator-learning-inspired Modeling of Neural Ordinary Differential Equations AAAI
    • 2024PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images ICLR
  16. POSTECH머신러닝

    이남훈Computational Optimization Lab

    관련 논문 1편비중 4%
    • 2026The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM ICLR
  17. Yonsei데이터 마이닝

    박상현DELAB

    관련 논문 2편비중 4%
    • 2024PIDiff: Physics Informed Diffusion Model for Protein Pocket-Specific 3D Molecular Generation Computers in Biology and Medicine
    • 2024SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction ECAI
  18. KAIST로보틱스

    금동석AXE Lab

    관련 논문 1편비중 3%
    • 2026Physics-informed neural networks for estimating flooding in a three-dimensional proton exchange membrane fuel cell International Journal of Heat and Mass Transfer
  19. KAIST컴퓨터 비전

    성민혁Visual AI Group

    관련 논문 1편비중 2%
    • 2026DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving TMLR
  20. SNU로보틱스

    김현진LARR Lab

    관련 논문 1편비중 1%
    • 2026Learning Solutions of PDEs with Symmetry and Kolmogorov-Arnold Neural Network International Journal of Control, Automation and Systems
  21. KAIST컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 1편비중 1%
    • 2026Position: Significant impact of numerical precision in scientific machine learning ICML
  22. KAIST머신러닝

    김희영Engineering Data Science Lab

    관련 논문 1편비중 3%
    • 2025Multi-task optimization with Bayesian neural network surrogates for parameter estimation of a simulation model Computational Statistics & Data Analysis
  23. KU머신러닝

    김성웅, 임성빈AGI Lab

    관련 논문 1편비중 3%
    • 2025Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery NeurIPS
  24. KAIST데이터 마이닝

    신기정Data Mining Lab

    관련 논문 1편비중 1%
    • 2025DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation AAAI
  25. KAISTAI for Science

    예종철BISPL

    관련 논문 1편비중 1%
    • 2025Guided Diffusion Sampling on Function Spaces with Applications to PDEs NeurIPS
  26. KUAI for Science

    감태의Medical AI Lab

    관련 논문 1편비중 1%
    • 2025Sharpness-Aware Minimization with Physics-Informed Regularizations for Predicting Semiconductor Material Properties in Molecular Dynamics Chemometrics and Intelligent Laboratory Systems
  27. KU인간-AI 상호작용

    서승호HUI

    관련 논문 1편비중 2%
    • 2025PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition ABC
  28. POSTECH컴퓨터 비전

    김광인MLV Group

    관련 논문 1편비중 8%
    • 2024Active learning guided by efficient surrogate learners AAAI
  29. KU음성·오디오

    김찬우SLPL

    관련 논문 1편비중 4%
    • 2024Physics Informed Distillation for Diffusion Models TMLR
  30. KAIST머신러닝

    안성수SPML Lab

    관련 논문 1편비중 2%
    • 2024Gaussian Plane-Wave Neural Operator for Electron Density Estimation ICML
  31. POSTECHAI for Science

    김원화, 류일우MIP Lab

    관련 논문 1편비중 1%
    • 2024Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations ICLR
  32. KAIST컴퓨터 비전

    윤국진VI Lab

    관련 논문 1편비중 1%
    • 2024Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation AAAI
  33. KAIST머신러닝

    박진규System Intelligence Lab

    관련 논문 1편비중 2%
    • 2023Learning Efficient Surrogate Dynamic Models with Graph Spline Networks NeurIPS
  34. KAIST컴퓨터 비전

    김현우MLV Lab

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