주제로 연구실 찾기

1. KAIST·머신러닝

   이주호SIML Lab

   관련도관련 논문 12편비중 15%연구 분야에 명시
   • 2026Confidence is not universal: task-dependent calibration and emergent behavior in LLMsICML
   • 2026Generative active learning via Bayesian acquisition for improving the efficiency of synthetic dataNeurIPS
   • 2026Bridging the missing-modality gap: improving text-only calibration of vision language modelsICLR
2. KAIST·머신러닝

   김희영Engineering Data Science Lab

   관련도관련 논문 8편비중 25%연구 분야에 명시
   • 2026Courtroom Analogy: New Perspective on Uncertainty-Aware ClassificationICML
   • 2026GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly DetectionCIKM
   • 2026Nonlocal Bayesian Modeling of Continuous Spatio-Temporal DynamicsUAI
3. Yonsei·머신러닝

   송경우MLAI Lab

   관련도관련 논문 8편비중 9%연구 분야에 명시
   • 2026Multi-LLM Adaptive Conformal Inference for Reliable LLM ResponseICLR
   • 2026Uncertainty-driven Embedding ConvolutionICLR
   • 2026Reliable LLM-as-a-judge Evaluation via Transferable CalibrationICML
4. SNU·머신러닝

   김용대IDEA Lab

   관련도관련 논문 8편비중 31%연구 분야에 명시
   • 2026A Fair Bayesian Inference through Matched Gibbs PosteriorICLR
   • 2026Bayesian Neural Networks for Functional ANOVA ModelICLR
   • 2025Knowledge Distillation of Uncertainty using Deep Latent Factor ModelsNeurIPS
5. KU·머신러닝

   이성환PRML Lab

   관련도관련 논문 8편비중 4%
   • 2026FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic SegmentationNeural Networks
   • 2026ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object DetectionIEEE SMC
   • 2025HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisIEEE TNNLS
6. POSTECH·머신러닝

   박상돈Trustworthy ML Lab

   관련도관련 논문 5편비중 23%연구 분야에 명시
   • 2026Online Conformal Abstention Under Adversarial Bandit FeedbackNeurIPS
   • 2026Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret MinimizationICLR
   • 2024TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionNAACL
7. KAIST·머신러닝

   오성준STAI Lab

   관련도관련 논문 6편비중 13%연구 분야에 명시
   • 2026Lost in Communication: Uncertainty Propagation in Multi-Agent SystemsICML
   • 2024Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized TasksNeurIPS
   • 2024Calibrating Large Language Models Using Their Generations OnlyACL
8. SNU·로보틱스

   김아영RPM Lab

   관련도관련 논문 7편비중 18%
   • 2026Calousel: Extrinsic Calibration of Non-overlapping Multi-camera Systems from Pure RotationIROS
   • 2026Geometrically-Constrained Radar-Inertial Odometry via Continuous Point-Pose Uncertainty ModelingIEEE RA-L
   • 2025Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian ProcessICRA
9. SNU·로보틱스

   김현진LARR Lab

   관련도관련 논문 8편비중 10%
   • 2026EigenSafe: A Spectral Framework for Learning-Based Probabilistic Safety AssessmentRSS
   • 2026HERE: Hierarchical Active Exploration of Radiance Field with Epistemic Uncertainty MinimizationIEEE RA-L
   • 2025Safe Reactive Control for Autonomous Navigation in Unknown Environments via Probabilistic MapsIEEE Access
10. KAIST·머신러닝

    윤세영OSI Lab

    관련도관련 논문 6편비중 4%
    • 2026CUDA: Capturing Uncertainty and Diversity in Preference Feedback AugmentationTMLR
    • 2025Beyond Correlation: The Impact of Human Uncertainty in Measuring the Effectiveness of Automatic Evaluation and LLM-as-a-JudgeICLR
    • 2025Bayesian Principles Improve Prompt Learning in Vision-Language ModelsAISTATS
11. SNU·머신러닝

    양인순LDS Lab

    관련도관련 논문 3편비중 11%연구 분야에 명시
    • 2025Egocentric conformal prediction for safe and efficient navigation in dynamic cluttered environmentsCDC
    • 2025Robust continuous-time generation scheduling under power demand uncertainty: An affine decision rule approachCDC
    • 2023On concentration bounds for Bayesian identification of linear non-Gaussian systemsCDC
12. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 4편비중 5%
    • 2026PHYSIO-MAMBA: Physiologically-Guided MAMBA Network for Continuous Calibration-free ABP Reconstruction from PPGICASSP
    • 2026Calibration-Free Early Stopping for Chain-of-Thought Reasoning via E-processesEMNLP Findings
    • 2026Progressive Latent Calibration for Stable Score Distillation in High Fidelity Text-to-3D GenerationPattern Recognition
13. SNU·컴퓨터 비전

    전세영ICL

    관련도관련 논문 4편비중 6%
    • 2026Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language ModelsCVPR
    • 2026Harmonization for a Black-box Model using Disentanglement-based Generator and Bayesian OptimizationISMRM
    • 2025On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language ModelsNeurIPS
14. KU·AI for Science

    서현석IMPEL Lab

    관련도관련 논문 3편비중 13%
    • 2026Prior-aware and Context-guided Group Sampling for Active Probabilistic SubsamplingICLR
    • 2026Deep Probabilistic Multishell Undersampling for Diffusion Spectrum ImagingISMRM
    • 2026Taming Gradient Perturbations: Probabilistic Reparameterization for Robust Physics-Informed MRI Protocol OptimizationICML
15. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 5편비중 7%
    • 2026Context Blindness in DPO: Mitigating Object Hallucination in MLLMs via Context-Calibrated Preference OptimizationECCV
    • 2025Latent Bayesian Optimization via Autoregressive Normalizing FlowsICLR
    • 2024Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsECCV
16. Yonsei·로보틱스

    최종은MLCS Lab

    관련도관련 논문 1편비중 5%연구 분야에 명시
    • 2026U-DiffPlan: Uncertainty-Aware Trajectory Prediction and Planning via Diffusion for Strategic Autonomous RacingIEEE RA-L
17. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 4편비중 3%
    • 2026Online Conformal Abstention Under Adversarial Bandit FeedbackNeurIPS
    • 2026Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret MinimizationICLR
    • 2024TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionNAACL
18. KAIST·머신러닝

    문일철AAI Lab

    관련도관련 논문 2편비중 5%연구 분야에 명시
    • 2024Make Prompts Adaptable : Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent PriorAAAI
    • 2023Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong CityANNSIM
19. Yonsei·머신러닝

    한동준Edge AI Lab

    관련도관련 논문 4편비중 9%
    • 2026MT-CC: Multi-Group Temperature Scaling for Asymmetric Calibration Behavior in Class-Incremental LearningNeurIPS
    • 2025Unlocking the Potential of Model Calibration in Federated LearningICLR
    • 2024Consistency-Guided Temperature Scaling using Style and Content Information for Out-of-Domain CalibrationAAAI
20. POSTECH·머신러닝

    전광성Interactive Machine Learning Lab

    관련도관련 논문 1편비중 5%연구 분야에 명시
    • 2024Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian OptimizationICML
21. Yonsei·머신러닝

    이기복Machine Learning Lab

    관련도관련 논문 2편비중 11%
    • 2026Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt PretrainingCVPR
    • 2026Calibrated Mixup for Imbalanced Regression on Tabular DataPattern Recognition
22. SNU·AI for Science

    이승근

    관련도관련 논문 2편비중 8%
    • 2026SNACK: A Sequential Notation Framework for Probabilistic Graph GenerationNeurIPS
    • 2026DeepU-PRS: Nonlinear and Uncertainty-Aware SNP Heritability Modeling for Annotation-Informed Polygenic Risk ScoringBriefings in Bioinformatics
23. POSTECH·머신러닝

    이남훈Computational Optimization Lab

    관련도관련 논문 2편비중 8%
    • 2026Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction ConfidenceACL
    • 2026Dynamic Network Compression via Probabilistic Channel PruningNeural Networks
24. SNU·머신러닝

    이상학Causality Lab

    관련도관련 논문 2편비중 7%
    • 2026Decomposing Conformal Uncertainty: Calibration- and Instance-Driven Feature AttributionNeurIPS
    • 2026A Tale of Two Uncertainties: Global–Local Attribution for Conformal PredictionICML
25. SNU·컴퓨터 비전

    이경무, 한보형CV Lab

    관련도관련 논문 3편비중 3%
    • 2026GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian ProcessesCVPR
    • 20244D Gaussian Splatting in the Wild with Uncertainty-Aware RegularizationNeurIPS
    • 2024Observation-Guided Diffusion Probabilistic ModelsCVPR
26. KU·머신러닝

    이병준Decision Making Lab

    관련도연구 분야에 명시
27. KU·머신러닝

    Anh TongStochastic Dynamics and Machine Learning Lab

    관련도연구 분야에 명시
28. KAIST·컴퓨터 비전

    윤성의SGVR Lab

    관련도관련 논문 3편비중 5%
    • 2026Uncertainty-Aware Non-Prehensile Manipulation with Mobile Manipulators under Object-Induced OcclusionICRA
    • 2024LiDAR-camera Online Calibration by Representing Local Feature and Global Spatial ContextIROS
    • 2023Feature Separation and Recalibration for Adversarial RobustnessCVPR
29. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 4편비중 3%
    • 2025Calibrated Multi-Preference Optimization for Aligning Diffusion ModelsCVPR
    • 2023Diffusion Probabilistic Models for Structured Node ClassificationNeurIPS
    • 2023Video Probabilistic Diffusion Models in Projected Latent SpaceCVPR
30. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 3편비중 3%
    • 2025Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted NetworksICML
    • 2025Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter TuningNeurIPS
    • 2023Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty MeasurementEACL
31. SNU·자연어처리·LLM

    황승원LDI Lab

    관련도관련 논문 2편비중 3%
    • 2026UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information RetrievalACL Findings
    • 2025AcuRank: Uncertainty-Aware Adaptive Computation for Listwise RerankingNeurIPS
32. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 2편비중 2%
    • 2026A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter SearchICML
    • 2025Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose EstimationBMVC
33. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 3편비중 4%
    • 2025Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping StrategyAAAI
    • 2024AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution HandlerNeurIPS
    • 2023Scale-invariant Bayesian Neural Networks with Connectivity Tangent KernelICLR
34. KU·머신러닝

    이창희AIX

    관련도관련 논문 2편비중 5%
    • 2026Localizing Input Uncertainty Quantification for Large Language Models via Shapley ValuesNeurIPS
    • 2024Toward a Better Discrimination and Calibration via Survival Outcome-Aware Contrastive LearningNeurIPS
35. SNU·컴퓨터 비전

    김건희Vision & Learning Lab

    관련도관련 논문 2편비중 4%
    • 2026Every Dog Has Its Day, Probably: A Balanced Synthetic Benchmark and Probabilistic Modeling for 3D Dog Pose EstimationECCV
    • 2024Learning to Continually Learn with the Bayesian PrincipleICML
36. SNU·머신러닝

    오민환

    관련도관련 논문 2편비중 3%
    • 2026SNACK: A Sequential Notation Framework for Probabilistic Graph GenerationNeurIPS
    • 2024Learning Uncertainty-Aware Temporally-Extended ActionsAAAI
37. POSTECH·AI for Science

    김원화, 류일우MIP Lab

    관련도관련 논문 2편비중 3%
    • 2026Set-Inclusive Uncertainty Modeling for Robust Brain Tumor SegmentationMICCAI
    • 2024Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image SynthesisMICCAI
38. KAIST·머신러닝

    이상완AI Brain Lab

    관련도관련 논문 3편비중 7%
    • 2025Factorized embedding of goal and uncertainty in the lateral prefrontal cortex guides stably flexible learningNature Communications
    • 2023Energy-based cross attention for Bayesian context update in text-to-image diffusion modelsNeurIPS
    • 2023Uncertainty-robust goal embedding in the prefrontal cortex for flexibly stable learningCOSYNE
39. KAIST·머신러닝

    김기응AIPR Lab

    관련도관련 논문 2편비중 7%
    • 2026Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion SamplingICML
    • 2023Bayesian Multi-Task Transfer Learning for Soft Prompt TuningEMNLP Findings
40. Yonsei·컴퓨터 비전

    김선주CIPLab

    관련도관련 논문 2편비중 4%
    • 2025Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted NetworksICML
    • 2025CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color ConstancyICCV
41. KU·로보틱스

    최성준Robot Intelligence Lab

    관련도관련 논문 2편비중 6%
    • 2026Effective Evaluation of Exoskeleton Using Exo-Agnostic Uncertainty-Aware Classification Model with Wearable SensorsAugmented Humans International Conference
    • 2023Elucidating robust learning with uncertainty-aware corruption pattern estimationPattern Recognition
42. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 3편비중 2%
    • 2024Towards Calibrated Robust Fine-Tuning of Vision-Language ModelsNeurIPS
    • 2024Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer LearningACM MM
    • 2023PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score CalibrationIJCNLP-AACL Findings
43. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 2편비중 2%
    • 2026Aligning Few-Step Generative Model via Amortizing Sample-Based Variational InferenceNeurIPS
    • 2023Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsNeurIPS
44. SNU·컴퓨터 비전

    임종우RV Lab

    관련도관련 논문 2편비중 20%
    • 20244d gaussian splatting in the wild with uncertainty-aware regularizationNeurIPS
    • 2024Unbiased estimator for distorted conics in camera calibrationCVPR
45. SNU·머신러닝

    박건웅Data Science & Machine Learning Lab

    관련도관련 논문 1편비중 14%
    • 2026Probabilistic Edge Modulation for High-Dimensional Causal DiscoveryUAI
46. KAIST·머신러닝

    박진규System Intelligence Lab

    관련도관련 논문 3편비중 6%
    • 2023Bayesian Convolutional Deep Sets with Task-Dependent Stationary PriorAISTATS
    • 2023Multi-objective Bayesian optimization for the design of nacre-inspired composites: optimizing and understanding biomimetics through AIMATERIALS HORIZONS
    • 2023Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networksJournal of Intelligent Manufacturing
47. SNU·컴퓨터 비전

    김영민3D Vision Lab

    관련도관련 논문 2편비중 4%
    • 2025Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated VideosICCV
    • 2023Calibrating Panoramic Depth Estimation for Practical Localization and MappingICCV
48. SNU·자연어처리·LLM

    정교민MI Lab

    관련도관련 논문 2편비중 3%
    • 2025Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based EvaluationNAACL
    • 2023Enhancing Cross-Domain Generalization through Data Augmentation with Reduced UncertaintyEMNLP
49. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 2편비중 3%
    • 2025A Transformer Network Calibrated with Fuzzy Logic for Phishing URL DetectionFuzzy Sets and Systems
    • 2023A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy DemandHAIS
50. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 2편비중 2%
    • 2025Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language ModelsICML
    • 2023Probabilistic Concept Bottleneck ModelsICML
51. SNU·데이터 마이닝

    유재민Data AI Lab

    관련도관련 논문 1편비중 4%
    • 2026A Probabilistic Circuit Framework for Interpretable Graph PU LearningUAI
52. SNU·AI 시스템

    김형신AIoT Lab

    관련도관련 논문 1편비중 3%
    • 2026ColonOOD: A Complete Pipeline for Optical Diagnosis of Colorectal Polyps Integrating Out-of-Distribution Detection and Uncertainty QuantificationExpert Systems with Applications
53. SNU·AI 시스템

    이영기HCS Lab

    관련도관련 논문 1편비중 3%
    • 2026Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw ScoringECCV
54. KAIST·로보틱스

    금동석AXE Lab

    관련도관련 논문 1편비중 3%
    • 2026Reaction-Uncertainty-Aware Motion Planning for Interactive Driving via Conditional Multi-modal Motion PredictionIEEE Access
55. KAIST·컴퓨터 비전

    김태균CV & Learning Lab

    관련도관련 논문 1편비중 3%
    • 2026Cascaded Diffusion Framework for Probabilistic Coarse-to-Fine Hand Pose EstimationECCV
56. KU·자연어처리·LLM

    이상근Data Intelligence Lab

    관련도관련 논문 1편비중 3%
    • 2026RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided UncertaintyIJCNLP-AACL
57. SNU·AI for Science

    김덕진SatGeo Lab

    관련도관련 논문 1편비중 2%
    • 2026Water-Specific Bayesian Thresholding: A Physically and Empirically Guided Framework for Reliable Water Boundary Detection From Sentinel-1 SARIGARSS
58. SNU·컴퓨터 비전

    박재식Visual & Geometric Intelligence Lab

    관련도관련 논문 1편비중 2%
    • 2026Targetless LiDAR-Camera Calibration with Neural Gaussian SplattingIEEE RA-L
59. SNU·컴퓨터 비전

    이준석VIP Lab

    관련도관련 논문 1편비중 2%
    • 2026Probabilistic Multi-Interest Representation for Personalized RecommendationSDM
60. SNU·컴퓨터 비전

    최종현MPR Lab

    관련도관련 논문 1편비중 2%
    • 2026SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action ModelsICML

+45

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