관련 연구실
등급은 학회·저널 분류이며 연구실 순위가 아닙니다.
- KAIST머신러닝
최재식SAIL Lab
관련 논문 7편비중 15%연구 분야에 명시- 2026Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution ECCV
- 2026Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution ICML
- 2026Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution KDD
- SNU머신러닝
윤성로AI Lab
관련 논문 8편비중 7%- 2026Temporal Island Sparse Autoencoders for Interpreting Clinical Time-Series Models NeurIPS
- 2026Generating Interpretable Context-Aware Medical Concept Embedding Implicating Expert Knowledge using LLMs Artificial Intelligence in Medicine
- 2026SAVE: Sparse Autoencoder‑Driven Visual Information Enhancement for Mitigating Object Hallucination WACV
- KU머신러닝
이성환PRML Lab
관련 논문 7편비중 4%- 2025Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers CVPR
- 2025Illuminating Salient Contributions in Neuron Activation with Attribution Equilibrium TPAMI
- 2025Model-Agnostic and Efficient Mixup Augmentation Guided by Saliency Maps TPAMI
- KU머신러닝
이창희AIX
관련 논문 2편비중 5%연구 분야에 명시- 2026INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification IJCAI
- 2026FA-DeepMSM: A Few-shot Adapted Interpretable Multimodal Survival Model for Improved Prognostic Prediction in Glioblastoma Scientific Reports
- KAIST컴퓨터 비전
주재걸DAVIAN Lab
관련 논문 6편비중 4%- 2026More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences ICLR
- 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning ICLR
- 2025Sparse Autoencoders Reveal Selective Remapping of Visual Concepts during Adaptation ICLR
- POSTECH자연어처리·LLM
이근배, 김형훈NLP Lab
관련 논문 5편비중 6%- 2026Teach-to-Reason with Scoring: Self-Explainable Rationale-Driven Multi-Trait Essay Scoring Expert Systems with Applications
- 2026S3: Sequential Self-feeding Slot Prediction for Explainable Cognitive Reframing in Task-Oriented Dialogue ACM Transactions on Computing for Healthcare
- 2025Structured Reasoning and Answer Verification: Enhancing Question Answering System Accuracy and Explainability Knowledge-Based Systems
- SNU인간-AI 상호작용
서봉원Human Centered Computing Lab
관련 논문 1편비중 2%연구 분야에 명시- 2026"What Can I Control?": Designing an Attribution Reframing Chatbot for Early-Career Employees' Workplace Stress Management CHI
- Yonsei머신러닝
송경우MLAI Lab
관련 논문 1편비중 1%연구 분야에 명시- 2026Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift NeurIPS
- KAIST데이터 마이닝
박찬영DSAIL
관련 논문 4편비중 4%- 2026Machine Collective Intelligence with Canonical Syntax Representations for Explainable Scientific Discovery NeurIPS
- 2026Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation ICML
- 2024Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck KDD
- SNU컴퓨터 비전
곽노준MIPAL Lab
관련 논문 3편비중 3%- 2026From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision Models TPAMI
- 2026Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings WACV
- 2025Causal Interpretation of Sparse Autoencoder Features in Vision ICCV
- SNUAI for Science
손석우Weather and Climate Dynamics Lab
관련 논문 3편비중 3%- 2026Attribution of recent change in the stratospheric temperature and its application to future projection Geophysical Research Letters
- 2026Forecast-based attribution of the role of stratospheric variability in weather extremes Weather and Climate Dynamics
- 2025Attribution of 2022 August heavy precipitation event in South Korea using high-resolution pseudo global warming simulations: Sensitivity to vertical temperature changes Geophysical Research Letters
- KAIST머신러닝
오성준STAI Lab
관련 논문 2편비중 4%연구 분야에 명시- 2023A Bayesian Perspective On Training Data Attribution NeurIPS
- 2023Exploring Practitioner Perspectives On Training Data Attribution Explanations NeurIPS
- Yonsei머신러닝
조성배SCLAB
관련 논문 4편비중 6%- 2026SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification PLOS ONE
- 2025Causally explainable artificial intelligence on deep learning model for energy demand prediction Engineering Applications of Artificial Intelligence
- 2023A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand HAIS
- KUAI for Science
석흥일Machine Intelligence Lab
관련 논문 4편비중 8%- 2025Explainable Normative Modeling for Brain Disorder Identification in Resting-State fMRI IEEE TMI
- 2025A Quantitatively Interpretable Model for Alzheimer’s Disease Prediction Using Deep Counterfactuals NeuroImage
- 2024EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning IEEE TMI
- 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
- KU인간-AI 상호작용
Christian WallravenCognitive Systems Lab
관련 논문 2편비중 7%- 2026Establishing the robustness metric as a scalable proxy for clinical relevance in medical AI explainability Medical Image Analysis
- 2026Unmasking deceptive decisions in a two-player competitive game: Integrating ERPs, spectral-perturbation signatures, and interpretable neural-network decoding Biological Psychology
- Yonsei컴퓨터 비전
황성재MICV Lab
관련 논문 2편비중 4%- 2026Interpretable Motion Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers CVPR
- 2026Real-Time Visual Attribution Streaming in Thinking Model ICML
- SNUAI 시스템
김형신AIoT Lab
관련 논문 3편비중 10%- 2025Explainable Vision Transformer for Automatic Visual Sleep Staging on Multimodal PSG Signals npj Digital Medicine
- 2025DistillSleep: Real-Time, On-Device, Interpretable Sleep Staging from Single-Channel EEG SLEEP
- 2024Clinicians "See" the Waveforms: A Computer Vision Approach for Interpretable Automatic Sleep Staging Sleep Europe
- SNUAI for Science
정유성MICC Lab
관련 논문 3편비중 7%- 2025Electrochemical CO2 reduction to liquid fuels: Mechanistic pathways and surface/interface engineering of catalysts and electrolytes The Innovation
- 2025Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models Angew. Chem. International Ed
- 2024A large-scale reaction dataset of mechanistic pathways of organic reactions Scientific Data
- SNU머신러닝
문태섭M.IN.D Lab
연구 분야에 명시 - KUAI for Science
서현석IMPEL Lab
연구 분야에 명시 - Yonsei컴퓨터 비전
이종석MCML Group
연구 분야에 명시 - KU자연어처리·LLM
임희석NLP&AI Lab
관련 논문 4편비중 4%- 2025Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks EMNLP
- 2024Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation NAACL
- 2023KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing EMNLP
- KAIST자연어처리·LLM
오혜연U&I Lab
관련 논문 2편비중 3%- 2026Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs EMNLP
- 2025XDAC: XAI-Driven Detection and Attribution of LLM-Generated News Comments in Korean ACL
- Yonsei자연어처리·LLM
여진영Language & AGI Lab
관련 논문 2편비중 4%- 2026Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths ACL Findings
- 2024RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization NAACL
- Yonsei자연어처리·LLM
이동하DLI Lab
관련 논문 2편비중 3%- 2026Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths ACL Findings
- 2024RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization NAACL
- KU컴퓨터 비전
박경문VGI Lab
관련 논문 2편비중 4%- 2025Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition NeurIPS
- 2025PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition CVPR
- SNU데이터 마이닝
유재민Data AI Lab
관련 논문 2편비중 7%- 2026A Probabilistic Circuit Framework for Interpretable Graph PU Learning UAI
- 2023Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining KDD
- KAIST컴퓨터 비전
심현정CVML Lab
관련 논문 2편비중 4%- 2026Interpretable Debiasing of Vision-Language Models for Social Fairness CVPR
- 2023Saliency as Pseudo-pixel Supervision for Weakly and Semi-supervised Semantic Segmentation TPAMI
- YonseiAI for Science2026 업데이트 중
남호정BIIL
관련 논문 2편비중 17%- 2025DeepRNA-DTI: A Deep Learning Approach for RNA-Compound Interaction Prediction with Binding Site Interpretability Journal of Cheminformatics
- 2024A Deep Learning Approach for RNA-Compound Interaction Prediction with Binding Site Interpretability NeurIPS
- SNU자연어처리·LLM
정교민MI Lab
관련 논문 2편비중 3%- 2026CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution ICML
- 2023Task-specific Compression for Multi-task Language Models using Attribution-based Pruning EACL Findings
- KAISTAI 시스템
한동수INA Lab
관련 논문 2편비중 8%- 2025Agua: A Concept-Based Explainer for Systems SIGCOMM
- 2024Toward Trustworthy Learning-Enabled Systems with Concept-Based Explanations HotNets
- SNU머신러닝
이정우CML Lab
관련 논문 2편비중 4%- 2025Constructing Fair Latent Space for Intersection of Fairness and Explainability AAAI
- 2024Enhancing Interpretability of Neural Compact Models: Toward Reliable Device Modeling IEEE Journal of the Electron Devices Society
- Yonsei로보틱스
김태리로봇 지능 및 상호작용 연구실
관련 논문 1편비중 13%- 2026Navigation Explainability for Object Avoidance with LLMs for Assistive Robots RO-MAN
- SNU데이터 마이닝
장준기
관련 논문 1편비중 7%- 2026ProgNet: Program-Grounded Evidence Composition for Interpretable Graph Classification KDD
- Yonsei머신러닝
손지용ITML Lab
관련 논문 1편비중 4%- 2026Same Concept, Different Directions: Cross-Modal Feature Heterogeneity in Sparse Autoencoders NeurIPS
- KAIST자연어처리·LLM
임경태MLP Lab
관련 논문 1편비중 3%- 2026Beyond Black Boxes: Explainable Face Anti-Spoofing with Vision-Language Models Scientific Reports
- SNU컴퓨터 비전
김건희Vision & Learning Lab
관련 논문 1편비중 2%- 2026MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering AAAI
- SNU인간-AI 상호작용
서진욱Human-Computer Interaction Lab
관련 논문 1편비중 2%- 2026Towards More Explainable Nonlinear Dimensionality Reduction: A Feature-Driven Interaction Approach IEEE TVCG
- SNUAI 시스템
안정호SCALable Computer Architecture Lab
관련 논문 1편비중 2%- 2026DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention ICML
- SNUAI for Science
이동헌BiLab
관련 논문 1편비중 2%- 2026An Interactive LVM–LLM Agent for Dementia Screening: Towards Clinical Translation of Explainable AI ECR
- SNU컴퓨터 비전
이준석VIP Lab
관련 논문 1편비중 2%- 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning ICLR
- KU인간-AI 상호작용
서승호HUI
관련 논문 1편비중 2%- 2026Interpretable Multimodal Gesture Recognition for Drone and Mobile Robot Teleoperation via Log-Likelihood Ratio Fusion ICRA
- Yonsei자연어처리·LLM
김재형ML3 Lab
관련 논문 1편비중 2%- 2026Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models ACL
- SNU머신러닝
장병탁BI Lab
관련 논문 1편비중 1%- 2026Making Your Action Policies Interpretable: Mixtures of Action Queries ICML
- KAIST컴퓨터 비전
김준모SIIT Lab
관련 논문 1편비중 1%- 2026Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP CVPR Findings
- KAIST머신러닝
양은호MLI Lab
관련 논문 1편비중 1%- 2026Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring ICLR
- KAIST음성·오디오
정준선Multimodal AI Lab
관련 논문 1편비중 1%- 2026Who Wins the Conflict? Mechanistic Interpretability of Text Bias in Audio LLMs EMNLP
- KAISTAI 시스템
김주영CAST Lab
관련 논문 2편비중 3%- 2024EPU: An Energy-Efficient Explainable AI Accelerator with Sparsity-free Computation and Heat Map Compression/Pruning JSSC
- 2023A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation Heat Map Compression/Pruning CICC
- KAIST머신러닝
윤세영OSI Lab
관련 논문 2편비중 1%- 2024Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL
- 2023HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning EMNLP Findings
- Yonsei로보틱스
최종은MLCS Lab
관련 논문 2편비중 11%- 2023Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation Journal of Medical Internet Research
- 2023Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement Computer Methods and Programs in Biomedicine
- SNU인간-AI 상호작용
강민석
관련 논문 1편비중 5%- 2025LLM Attributor: Interactive Visual Attribution for LLM Generation AAAI
- SNUAI for Science
이승근
관련 논문 1편비중 4%- 2025XPRS: a tool for interpretable and explainable polygenic risk score Bioinformatics
- SNU데이터 마이닝
박현우DIAL Lab
관련 논문 1편비중 3%- 2025HaluCheck: Explainable and verifiable automation for detecting hallucinations in LLM responses Expert Systems with Applications
- SNU로보틱스
최준원ADR Lab
관련 논문 1편비중 3%- 2025Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion NeurIPS
- SNU머신러닝
홍영준MLSC Lab
관련 논문 1편비중 3%- 2025Physically interpretable discrete latent representations for the design of advanced mechanical metamaterials in complex geometries Engineering Applications of Artificial Intelligence
- KU자연어처리·LLM
이상근Data Intelligence Lab
관련 논문 1편비중 3%- 2025Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models ACL
- SNUAI for Science
김선BHI Lab
관련 논문 1편비중 2%- 2025MDTR: A Knowledge-Guided Interpretable Representation for Quantifying Liver Toxicity at Transcriptomic Level Frontiers in Pharmacology
- SNU음성·오디오
이교구MARG
관련 논문 1편비중 1%- 2025Vo-Ve: An Explainable Voice-Vector for Speaker Identity Evaluation INTERSPEECH
- KAIST음성·오디오
남주한MAC Lab
관련 논문 1편비중 1%- 2025From Generation to Attribution: Music AI Agent Architectures for the Post-Streaming Era NeurIPS
- KAIST데이터 마이닝
신기정Data Mining Lab
관련 논문 1편비중 1%- 2025TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop NeurIPS
- KAISTAI for Science
예종철BISPL
관련 논문 1편비중 1%- 2025Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI CVPR
- POSTECH그래픽스
이승용, 조성현, 백승환CG Lab
관련 논문 1편비중 1%- 2025Differentiable Inverse Rendering with Interpretable Basis BRDFs CVPR
- Yonsei데이터 마이닝
박상현DELAB
관련 논문 1편비중 2%- 2025TheProperty: Euclidean 3D Molecular Representations for Explainable ADMET Prediction BIBM
- KU머신러닝
성준경BREIN Lab
관련 논문 1편비중 6%- 2024Disentangling brain atrophy heterogeneity in Alzheimer's disease: A deep self-supervised approach with interpretable latent space NeuroImage
- SNU머신러닝
이원종DRL Lab
관련 논문 1편비중 4%- 2024Visual Interpretation of Deep Learning Model in ECG Classification: A Comprehensive Evaluation of Feature Attribution Methods Computers in Biology and Medicine
- SNU자연어처리·LLM
이재윤SKI-ML Lab
관련 논문 1편비중 4%- 2024RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation EMNLP
- KAIST머신러닝
김기응AIPR Lab
관련 논문 1편비중 4%- 2024Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL
- Yonsei컴퓨터 비전
어영정Visual Intelligence Lab
관련 논문 1편비중 4%- 2024Attribute Based Interpretable Evaluation Metrics for Generative Models ICML
- SNU머신러닝2026 업데이트 중
강명주NCIA Lab
관련 논문 1편비중 3%- 2024FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model ACL
- SNUAI for Science
국종성Climate System Lab
관련 논문 1편비중 1%- 2024Explainable El Niño predictability from climate mode interactions Nature
- Yonsei컴퓨터 비전
김선주CIPLab
관련 논문 1편비중 2%- 2024Towards Interpretable Controllability in Object-Centric Learning CVPR
- POSTECH머신러닝
김동우, 옥정슬, 박상돈, 박은혁ML Lab
관련 논문 1편비중 1%- 2024An Investigation Into Explainable Audio Hate Speech Detection SIGDIAL
- KAIST자연어처리·LLM
서민준LK Lab
관련 논문 1편비중 2%- 2023A Bayesian Perspective On Training Data Attribution NeurIPS
- KAIST데이터 마이닝
황의종Data Intelligence Lab
관련 논문 1편비중 4%- 2023XClusters: Explainability-first Clustering AAAI
- Yonsei데이터 마이닝
이경호ICL
관련 논문 1편비중 4%- 2023Concept-based Persona Expansion for Improving Diversity of Persona-Grounded Dialogue EACL
- SNU컴퓨터 비전
이경무, 한보형CV Lab
관련 논문 1편비중 1%- 2023Abnormality Detection in Chest X-Ray via Residual-Saliency From Normal Generation IEEE Access
- KAIST컴퓨터 비전
김승룡CV Lab
관련 논문 1편비중 1%- 2023Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations JEP
- KAIST컴퓨터 비전
김현우MLV Lab
관련 논문 1편비중 1%- 2023Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification MICCAI
- POSTECHAI for Science
김원화, 류일우MIP Lab
관련 논문 1편비중 1%- 2023Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics IEEE TMI