관련 연구실
등급은 학회·저널 분류이며 연구실 순위가 아닙니다.
- KAIST머신러닝
이주호SIML Lab
관련 논문 12편비중 15%연구 분야에 명시- 2026Confidence is not universal: task-dependent calibration and emergent behavior in LLMs ICML
- 2026Generative active learning via Bayesian acquisition for improving the efficiency of synthetic data NeurIPS
- 2026Bridging the missing-modality gap: improving text-only calibration of vision language models ICLR
- KAIST머신러닝
김희영Engineering Data Science Lab
관련 논문 8편비중 25%연구 분야에 명시- 2026Courtroom Analogy: New Perspective on Uncertainty-Aware Classification ICML
- 2026GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection CIKM
- 2026Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics UAI
- Yonsei머신러닝
송경우MLAI Lab
관련 논문 8편비중 9%연구 분야에 명시- 2026Multi-LLM Adaptive Conformal Inference for Reliable LLM Response ICLR
- 2026Uncertainty-driven Embedding Convolution ICLR
- 2026Reliable LLM-as-a-judge Evaluation via Transferable Calibration ICML
- SNU머신러닝
김용대IDEA Lab
관련 논문 8편비중 31%연구 분야에 명시- 2026A Fair Bayesian Inference through Matched Gibbs Posterior ICLR
- 2026Bayesian Neural Networks for Functional ANOVA Model ICLR
- 2025Knowledge Distillation of Uncertainty using Deep Latent Factor Models NeurIPS
- KU머신러닝
이성환PRML Lab
관련 논문 8편비중 4%- 2026FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation Neural Networks
- 2026ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object Detection IEEE SMC
- 2025HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis IEEE TNNLS
- POSTECH머신러닝
박상돈Trustworthy ML Lab
관련 논문 5편비중 23%연구 분야에 명시- 2026Online Conformal Abstention Under Adversarial Bandit Feedback NeurIPS
- 2026Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization ICLR
- 2024TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL
- KAIST머신러닝
오성준STAI Lab
관련 논문 6편비중 13%연구 분야에 명시- 2026Lost in Communication: Uncertainty Propagation in Multi-Agent Systems ICML
- 2024Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks NeurIPS
- 2024Calibrating Large Language Models Using Their Generations Only ACL
- SNU로보틱스
김아영RPM Lab
관련 논문 7편비중 18%- 2026Calousel: Extrinsic Calibration of Non-overlapping Multi-camera Systems from Pure Rotation IROS
- 2026Geometrically-Constrained Radar-Inertial Odometry via Continuous Point-Pose Uncertainty Modeling IEEE RA-L
- 2025Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process ICRA
- SNU로보틱스
김현진LARR Lab
관련 논문 8편비중 10%- 2026EigenSafe: A Spectral Framework for Learning-Based Probabilistic Safety Assessment RSS
- 2026HERE: Hierarchical Active Exploration of Radiance Field with Epistemic Uncertainty Minimization IEEE RA-L
- 2025Safe Reactive Control for Autonomous Navigation in Unknown Environments via Probabilistic Maps IEEE Access
- KAIST머신러닝
윤세영OSI Lab
관련 논문 6편비중 4%- 2026CUDA: Capturing Uncertainty and Diversity in Preference Feedback Augmentation TMLR
- 2025Beyond Correlation: The Impact of Human Uncertainty in Measuring the Effectiveness of Automatic Evaluation and LLM-as-a-Judge ICLR
- 2025Bayesian Principles Improve Prompt Learning in Vision-Language Models AISTATS
- SNU머신러닝
양인순LDS Lab
관련 논문 3편비중 11%연구 분야에 명시- 2025Egocentric conformal prediction for safe and efficient navigation in dynamic cluttered environments CDC
- 2025Robust continuous-time generation scheduling under power demand uncertainty: An affine decision rule approach CDC
- 2023On concentration bounds for Bayesian identification of linear non-Gaussian systems CDC
- KAIST컴퓨터 비전
김준모SIIT Lab
관련 논문 4편비중 5%- 2026PHYSIO-MAMBA: Physiologically-Guided MAMBA Network for Continuous Calibration-free ABP Reconstruction from PPG ICASSP
- 2026Calibration-Free Early Stopping for Chain-of-Thought Reasoning via E-processes EMNLP Findings
- 2026Progressive Latent Calibration for Stable Score Distillation in High Fidelity Text-to-3D Generation Pattern Recognition
- SNU컴퓨터 비전
전세영ICL
관련 논문 4편비중 6%- 2026Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models CVPR
- 2026Harmonization for a Black-box Model using Disentanglement-based Generator and Bayesian Optimization ISMRM
- 2025On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models NeurIPS
- KUAI for Science
서현석IMPEL Lab
관련 논문 3편비중 13%- 2026Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling ICLR
- 2026Deep Probabilistic Multishell Undersampling for Diffusion Spectrum Imaging ISMRM
- 2026Taming Gradient Perturbations: Probabilistic Reparameterization for Robust Physics-Informed MRI Protocol Optimization ICML
- KAIST컴퓨터 비전
김현우MLV Lab
관련 논문 5편비중 7%- 2026Context Blindness in DPO: Mitigating Object Hallucination in MLLMs via Context-Calibrated Preference Optimization ECCV
- 2025Latent Bayesian Optimization via Autoregressive Normalizing Flows ICLR
- 2024Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems ECCV
- Yonsei로보틱스
최종은MLCS Lab
관련 논문 1편비중 5%연구 분야에 명시- 2026U-DiffPlan: Uncertainty-Aware Trajectory Prediction and Planning via Diffusion for Strategic Autonomous Racing IEEE RA-L
- POSTECH머신러닝
김동우, 옥정슬, 박상돈, 박은혁ML Lab
관련 논문 4편비중 3%- 2026Online Conformal Abstention Under Adversarial Bandit Feedback NeurIPS
- 2026Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization ICLR
- 2024TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL
- KAIST머신러닝
문일철AAI Lab
관련 논문 2편비중 5%연구 분야에 명시- 2024Make Prompts Adaptable : Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI
- 2023Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong City ANNSIM
- Yonsei머신러닝
한동준Edge AI Lab
관련 논문 4편비중 9%- 2026MT-CC: Multi-Group Temperature Scaling for Asymmetric Calibration Behavior in Class-Incremental Learning NeurIPS
- 2025Unlocking the Potential of Model Calibration in Federated Learning ICLR
- 2024Consistency-Guided Temperature Scaling using Style and Content Information for Out-of-Domain Calibration AAAI
- POSTECH머신러닝
전광성Interactive Machine Learning Lab
관련 논문 1편비중 5%연구 분야에 명시- 2024Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization ICML
- Yonsei머신러닝
이기복Machine Learning Lab
관련 논문 2편비중 11%- 2026Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR
- 2026Calibrated Mixup for Imbalanced Regression on Tabular Data Pattern Recognition
- SNUAI for Science
이승근
관련 논문 2편비중 8%- 2026SNACK: A Sequential Notation Framework for Probabilistic Graph Generation NeurIPS
- 2026DeepU-PRS: Nonlinear and Uncertainty-Aware SNP Heritability Modeling for Annotation-Informed Polygenic Risk Scoring Briefings in Bioinformatics
- POSTECH머신러닝
이남훈Computational Optimization Lab
관련 논문 2편비중 8%- 2026Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL
- 2026Dynamic Network Compression via Probabilistic Channel Pruning Neural Networks
- SNU머신러닝
이상학Causality Lab
관련 논문 2편비중 7%- 2026Decomposing Conformal Uncertainty: Calibration- and Instance-Driven Feature Attribution NeurIPS
- 2026A Tale of Two Uncertainties: Global–Local Attribution for Conformal Prediction ICML
- SNU컴퓨터 비전
이경무, 한보형CV Lab
관련 논문 3편비중 3%- 2026GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes CVPR
- 20244D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization NeurIPS
- 2024Observation-Guided Diffusion Probabilistic Models CVPR
- KU머신러닝
이병준Decision Making Lab
연구 분야에 명시 - KU머신러닝
Anh TongStochastic Dynamics and Machine Learning Lab
연구 분야에 명시 - KAIST컴퓨터 비전
윤성의SGVR Lab
관련 논문 3편비중 5%- 2026Uncertainty-Aware Non-Prehensile Manipulation with Mobile Manipulators under Object-Induced Occlusion ICRA
- 2024LiDAR-camera Online Calibration by Representing Local Feature and Global Spatial Context IROS
- 2023Feature Separation and Recalibration for Adversarial Robustness CVPR
- KAIST머신러닝
신진우ALIN Lab
관련 논문 4편비중 3%- 2025Calibrated Multi-Preference Optimization for Aligning Diffusion Models CVPR
- 2023Diffusion Probabilistic Models for Structured Node Classification NeurIPS
- 2023Video Probabilistic Diffusion Models in Projected Latent Space CVPR
- KAIST머신러닝
황성주MLAI Lab
관련 논문 3편비중 3%- 2025Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks ICML
- 2025Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning NeurIPS
- 2023Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement EACL
- SNU자연어처리·LLM
황승원LDI Lab
관련 논문 2편비중 3%- 2026UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval ACL Findings
- 2025AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking NeurIPS
- KAIST컴퓨터 비전
오태현AMI Lab
관련 논문 2편비중 2%- 2026A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search ICML
- 2025Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation BMVC
- KAIST머신러닝
양은호MLI Lab
관련 논문 3편비중 4%- 2025Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy AAAI
- 2024AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler NeurIPS
- 2023Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel ICLR
- KU머신러닝
이창희AIX
관련 논문 2편비중 5%- 2026Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values NeurIPS
- 2024Toward a Better Discrimination and Calibration via Survival Outcome-Aware Contrastive Learning NeurIPS
- SNU컴퓨터 비전
김건희Vision & Learning Lab
관련 논문 2편비중 4%- 2026Every Dog Has Its Day, Probably: A Balanced Synthetic Benchmark and Probabilistic Modeling for 3D Dog Pose Estimation ECCV
- 2024Learning to Continually Learn with the Bayesian Principle ICML
- SNU머신러닝
오민환
관련 논문 2편비중 3%- 2026SNACK: A Sequential Notation Framework for Probabilistic Graph Generation NeurIPS
- 2024Learning Uncertainty-Aware Temporally-Extended Actions AAAI
- POSTECHAI for Science
김원화, 류일우MIP Lab
관련 논문 2편비중 3%- 2026Set-Inclusive Uncertainty Modeling for Robust Brain Tumor Segmentation MICCAI
- 2024Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis MICCAI
- KAIST머신러닝
이상완AI Brain Lab
관련 논문 3편비중 7%- 2025Factorized embedding of goal and uncertainty in the lateral prefrontal cortex guides stably flexible learning Nature Communications
- 2023Energy-based cross attention for Bayesian context update in text-to-image diffusion models NeurIPS
- 2023Uncertainty-robust goal embedding in the prefrontal cortex for flexibly stable learning COSYNE
- KAIST머신러닝
김기응AIPR Lab
관련 논문 2편비중 7%- 2026Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion Sampling ICML
- 2023Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP Findings
- Yonsei컴퓨터 비전
김선주CIPLab
관련 논문 2편비중 4%- 2025Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks ICML
- 2025CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy ICCV
- KU로보틱스
최성준Robot Intelligence Lab
관련 논문 2편비중 6%- 2026Effective Evaluation of Exoskeleton Using Exo-Agnostic Uncertainty-Aware Classification Model with Wearable Sensors Augmented Humans International Conference
- 2023Elucidating robust learning with uncertainty-aware corruption pattern estimation Pattern Recognition
- KAIST컴퓨터 비전
주재걸DAVIAN Lab
관련 논문 3편비중 2%- 2024Towards Calibrated Robust Fine-Tuning of Vision-Language Models NeurIPS
- 2024Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning ACM MM
- 2023PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration IJCNLP-AACL Findings
- KAISTAI for Science
예종철BISPL
관련 논문 2편비중 2%- 2026Aligning Few-Step Generative Model via Amortizing Sample-Based Variational Inference NeurIPS
- 2023Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models NeurIPS
- SNU컴퓨터 비전
임종우RV Lab
관련 논문 2편비중 20%- 20244d gaussian splatting in the wild with uncertainty-aware regularization NeurIPS
- 2024Unbiased estimator for distorted conics in camera calibration CVPR
- SNU머신러닝
박건웅Data Science & Machine Learning Lab
관련 논문 1편비중 14%- 2026Probabilistic Edge Modulation for High-Dimensional Causal Discovery UAI
- KAIST머신러닝
박진규System Intelligence Lab
관련 논문 3편비중 6%- 2023Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior AISTATS
- 2023Multi-objective Bayesian optimization for the design of nacre-inspired composites: optimizing and understanding biomimetics through AI MATERIALS HORIZONS
- 2023Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks Journal of Intelligent Manufacturing
- SNU컴퓨터 비전
김영민3D Vision Lab
관련 논문 2편비중 4%- 2025Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos ICCV
- 2023Calibrating Panoramic Depth Estimation for Practical Localization and Mapping ICCV
- SNU자연어처리·LLM
정교민MI Lab
관련 논문 2편비중 3%- 2025Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation NAACL
- 2023Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty EMNLP
- Yonsei머신러닝
조성배SCLAB
관련 논문 2편비중 3%- 2025A Transformer Network Calibrated with Fuzzy Logic for Phishing URL Detection Fuzzy Sets and Systems
- 2023A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand HAIS
- SNU머신러닝
윤성로AI Lab
관련 논문 2편비중 2%- 2025Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models ICML
- 2023Probabilistic Concept Bottleneck Models ICML
- SNU데이터 마이닝
유재민Data AI Lab
관련 논문 1편비중 4%- 2026A Probabilistic Circuit Framework for Interpretable Graph PU Learning UAI
- SNUAI 시스템
김형신AIoT Lab
관련 논문 1편비중 3%- 2026ColonOOD: A Complete Pipeline for Optical Diagnosis of Colorectal Polyps Integrating Out-of-Distribution Detection and Uncertainty Quantification Expert Systems with Applications
- SNUAI 시스템
이영기HCS Lab
관련 논문 1편비중 3%- 2026Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring ECCV
- KAIST로보틱스
금동석AXE Lab
관련 논문 1편비중 3%- 2026Reaction-Uncertainty-Aware Motion Planning for Interactive Driving via Conditional Multi-modal Motion Prediction IEEE Access
- KAIST컴퓨터 비전
김태균CV & Learning Lab
관련 논문 1편비중 3%- 2026Cascaded Diffusion Framework for Probabilistic Coarse-to-Fine Hand Pose Estimation ECCV
- KU자연어처리·LLM
이상근Data Intelligence Lab
관련 논문 1편비중 3%- 2026RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty IJCNLP-AACL
- SNUAI for Science
김덕진SatGeo Lab
관련 논문 1편비중 2%- 2026Water-Specific Bayesian Thresholding: A Physically and Empirically Guided Framework for Reliable Water Boundary Detection From Sentinel-1 SAR IGARSS
- SNU컴퓨터 비전
박재식Visual & Geometric Intelligence Lab
관련 논문 1편비중 2%- 2026Targetless LiDAR-Camera Calibration with Neural Gaussian Splatting IEEE RA-L
- SNU컴퓨터 비전
이준석VIP Lab
관련 논문 1편비중 2%- 2026Probabilistic Multi-Interest Representation for Personalized Recommendation SDM
- SNU컴퓨터 비전
최종현MPR Lab
관련 논문 1편비중 2%- 2026SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models ICML
- KAIST컴퓨터 비전
성민혁Visual AI Group
관련 논문 1편비중 2%- 2026DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving TMLR
- KAISTAI for Science
최윤재
관련 논문 1편비중 2%- 2026Modeling Clinical Uncertainty in Radiology Reports: from Explicit Uncertainty Markers to Implicit Reasoning Pathways LREC
- KAIST머신러닝
최재식SAIL Lab
관련 논문 1편비중 2%- 2026DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction ICML
- KUAI for Science
석흥일Machine Intelligence Lab
관련 논문 1편비중 2%- 2026FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation IEEE TNNLS
- Yonsei컴퓨터 비전
황성재MICV Lab
관련 논문 1편비중 2%- 2026Rethinking Glaucoma Calibration: Voting-Based Binocular and Metadata Integration ISBI
- SNUAI for Science
손석우Weather and Climate Dynamics Lab
관련 논문 1편비중 1%- 2026Uncertainty in California winter precipitation linked to future projections of North Pacific large-scale atmospheric circulation Journal of Geophysical Research: Atmospheres
- KAIST컴퓨터 비전
노용만IVY Lab
관련 논문 1편비중 1%- 2026GenRecal: Generation after Recalibration from Large to Small Vision-Language Models ECCV
- KAIST데이터 마이닝
박찬영DSAIL
관련 논문 1편비중 1%- 2026Learning Probabilistic Compositional Representation of Crystalline Materials KDD
- KAIST컴퓨터 비전
윤국진VI Lab
관련 논문 1편비중 1%- 2026Triggering Generalist Reasoning via Predictive Uncertainty for Dual-System VLA NeurIPS
- KAIST음성·오디오
정준선Multimodal AI Lab
관련 논문 1편비중 1%- 2026Diffusion-Link: Diffusion Probabilistic Model for Bridging the Audio-Text Modality Gap ICASSP
- KU자연어처리·LLM
임희석NLP&AI Lab
관련 논문 1편비중 1%- 2026Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Uncertainty Estimation CVPR
- KAIST머신러닝
문재균
관련 논문 2편비중 10%- 2024Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration AAAI
- 2023Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation ICLR
- KU머신러닝
김성웅, 임성빈AGI Lab
관련 논문 2편비중 6%- 2024Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning IEEE Access
- 2023Bag of Tricks for In-Distribution Calibration of Pretrained Transformers EACL Findings
- SNUAI 시스템
유승주CMA Lab
관련 논문 1편비중 6%- 2025NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache NeurIPS
- KAIST데이터 마이닝
황의종Data Intelligence Lab
관련 논문 1편비중 4%- 2025T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning CVPR
- SNUAI for Science
정수종Climate Lab
관련 논문 1편비중 2%- 2025Constraining urban fossil fuel CO2 emissions in Seoul using combined ground and satellite observations with Bayesian inverse modelling Atmospheric Chemistry and Physics
- SNUAI for Science
정유성MICC Lab
관련 논문 1편비중 2%- 2025Reliable Li-ion conductivity with efficient data generation and uncertainty estimation toward large-scale screening Chem. Eng. J
- KAIST머신러닝
윤철희OptiML Lab
관련 논문 1편비중 2%- 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty ICML
- POSTECH음성·오디오
서영주AIoT Lab
관련 논문 1편비중 3%- 2025UDirEar: Heading Direction Tracking with Commercial UWB Earbud by Interaural Distance Calibration Electronics
- SNU데이터 마이닝
강유Data Mining Lab
관련 논문 1편비중 2%- 2025PiGLeT: Probabilistic Message Passing for Semi-supervised Link Sign Prediction ICDM
- SNU컴퓨터 비전
곽노준MIPAL Lab
관련 논문 1편비중 1%- 2025The Role of Teacher Calibration in Knowledge Distillation IEEE Access
- SNUAI for Science
국종성Climate System Lab
관련 논문 1편비중 1%- 2025Contribution of Intraseasonal Variability to Uncertainty in Simulating Seasonal Activity of Northwest Pacific Tropical Cyclones as Demonstrated Using 1998 Journal of Climate
- SNU자연어처리·LLM
유영재PI Lab
관련 논문 1편비중 1%- 2025DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation AAAI
- SNU음성·오디오
이교구MARG
관련 논문 1편비중 1%- 2025Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition AAAI
- SNUAI for Science
이동헌BiLab
관련 논문 1편비중 2%- 2025ColonOOD: A complete pipeline for optical diagnosis of colorectal polyps integrating out-of-distribution detection and uncertainty quantification Expert Systems with Applications
- SNU머신러닝
이정우CML Lab
관련 논문 1편비중 2%- 2025Deterministic Uncertainty Estimation for Multi-modal Regression with Deep Neural Networks IEEE Access
- SNU컴퓨터 비전
조남익ISPL
관련 논문 1편비중 2%- 2025Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation WACV
- KAIST자연어처리·LLM
오혜연U&I Lab
관련 논문 1편비중 1%- 2025MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL Findings
- Yonsei데이터 마이닝
박상현DELAB
관련 논문 1편비중 2%- 2025Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration NeurIPS
- KAIST자연어처리·LLM
김현우COCO Lab
관련 논문 1편비중 5%- 2024Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using LLMs ACL Findings
- KAIST로보틱스
박대형RIRO Lab
관련 논문 1편비중 7%- 2024Graph-based 3D Collision-distance Estimation Network with Probabilistic Graph Rewiring ICRA
- KAIST데이터 마이닝
황지영Big Data Intelligence Lab
관련 논문 1편비중 5%- 2024PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning ICML
- YonseiAI for Science
김호진LESSON Lab
관련 논문 1편비중 3%- 2024Evaluation of the deliverability of dynamic conformal arc therapy (DCAT) by gantry wobble and its influence on dose Scientific Reports
- KAIST컴퓨터 비전
심현정CVML Lab
관련 논문 1편비중 2%- 2024Local Expert Diffusion Models for Efficient Training in Denoising Diffusion Probabilistic Models AAAI
- KUAI for Science
감태의Medical AI Lab
관련 논문 1편비중 1%- 2024META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain–computer interfaces Expert Systems with Applications
- KU인간-AI 상호작용
서승호HUI
관련 논문 1편비중 2%- 2024A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms ICPR
- Yonsei데이터 마이닝
장백철ANDLab
관련 논문 1편비중 3%- 2024Climate policy uncertainty and its impact on real estate market dynamics: A sectoral and regional analysis PLOS ONE
- SNU머신러닝
송현오Machine Learning Lab
관련 논문 1편비중 6%- 2023Query-Efficient Black-Box Red Teaming via Bayesian Optimization ACL
- SNUAI for Science
김경수AIBL
관련 논문 1편비중 3%- 2023Scale-invariant Bayesian Linearized Neural Networks with Connectivity Tangent Kernel ICLR
- SNU컴퓨터 비전
주한별VC Lab
관련 논문 1편비중 4%- 2023Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models ICCV
- KAIST자연어처리·LLM
서민준LK Lab
관련 논문 1편비중 2%- 2023A Bayesian Perspective On Training Data Attribution NeurIPS
- KAIST머신러닝
안성수SPML Lab
관련 논문 1편비중 2%- 2023Diffusion Probabilistic Models for Structured Node Classification NeurIPS
- KAIST컴퓨터 비전
홍승훈Vision and Learning Lab
관련 논문 1편비중 3%- 2023Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance NeurIPS
- Yonsei컴퓨터 비전
이종석MCML Group
관련 논문 1편비중 3%- 2023Probabilistic modeling of image aesthetic assessment towards measuring subjectivity IEEE Access
- KAIST데이터 마이닝
박노성BigDyL
관련 논문 1편비중 1%- 2023Self-Attention LSTM-FCN Model for Arrhythmia Classification and Uncertainty Assessment Artificial Intelligence in Medicine