관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
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2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution
Soyeon Kim, Kyowoon Lee, Jaesik Choi
KAIST최재식
Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution
Soyeon Kim, Seongwoo Lim, Kyowoon Lee, Jaesik Choi
KAIST최재식
Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution
Soyeon Kim, Seongwoo Lim, Kyowoon Lee, Jaesik Choi
KAIST최재식
Temporal Island Sparse Autoencoders for Interpreting Clinical Time-Series Models
Muhan Yeo, Bong Gyun Kang, HyunGi Kim, Sungroh Yoon
SNU윤성로
INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification
Seongjun Lee, Seokhyun Lee, Changhee Lee
KU이창희
More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences
Chung Park, Hyeongjun Yun, Taesan Kim, Junui Hong, Dongjoon Hong, Mira Myong, Jihoon Oh, MinCheol Cho, Kijung Park, Min sung Choi, Jihwan Seok, Jaegul Choo
KAIST주재걸
Youngwoo Cho, Seunghoon Yi, Wooil Yang, Sungmo Kang, Young-woo Son, Jaegul Choo, Joonseok Lee, Soo Kyung Kim, Hongkee Yoon
KAIST주재걸
Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
Sungjun Lim, Heedong Kim, Andrew Lee, Kyungwoo Song
Yonsei송경우
From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision Models
Yearim Kim*, Sangyu Han*, Nojun Kwak
SNU곽노준
Attribution of recent change in the stratospheric temperature and its application to future projection
Li, S., J. Zhang, S.-W. Son, and Y. Chen, C. Zhang, Z. Wang, and J. Tang
SNU손석우
Decomposing Conformal Uncertainty: Calibration- and Instance-Driven Feature Attribution
Sangyeon Cho, Minyoung Cho, Jungsoo Kim, Sujeong Oh, Sanghack Lee *
SNU이상학
Establishing the robustness metric as a scalable proxy for clinical relevance in medical AI explainability
Cho, Daehyun, You, Sung-Hye, Kim, Bo Kyu, Park, Arim, Wallraven, Christian
Interpretable Motion Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers
Youngjun Jun, Seil Kang, Woojung Han, Seong Jae Hwang
Yonsei황성재
Real-Time Visual Attribution Streaming in Thinking Model
Seil Kang, Woojung Han, Junhyeok Kim, JInyeong Kim, Youngeun Kim, Seong Jae Hwang
Yonsei황성재
Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs
Seogyeong Jeong, Jaehui Hwang, Dongyoon Han, Geonmo Gu, Alice Oh, Taekyung Kim
KAIST오혜연
Interpretable Debiasing of Vision-Language Models for Social Fairness
Na Min An, Yoonna Jang, Yusuke Hirota, Ryo Hachiuma, Isabelle Augenstein, Hyunjung Shim
KAIST심현정
CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution
Minbeom Kim, Mihir Parmar, Phillip Wallis, Lesly Miculicich, Kyomin Jung, Krishnamurthy Dj Dvijotham, Long T. Le, and Tomas Pfister
SNU정교민
ProgNet: Program-Grounded Evidence Composition for Interpretable Graph Classification
Minseok Jeon, Seunghyun Park, Jun-Gi Jang
SNU장준기
Same Concept, Different Directions: Cross-Modal Feature Heterogeneity in Sparse Autoencoders
C. Lee, J. Kwon, K. Min, J. Sohn
Yonsei손지용
MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering
Seokwon Song, Minsu Park, Gunhee Kim
SNU김건희
Towards More Explainable Nonlinear Dimensionality Reduction: A Feature-Driven Interaction Approach
Aeri Cho, Hyeon Jeon, Kiroong Choe, Seokhyeon Park, and Jinwook Seo
SNU서진욱
DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention
Y. Lee, S. Dan, J. Lee, J. Park, and J. Ahn
SNU안정호
Interpretable Multimodal Gesture Recognition for Drone and Mobile Robot Teleoperation via Log-Likelihood Ratio Fusion
Seungyeol Baek, Jaspreet Singh, Lala Shakti Swarup Ray, Hymalai Bello, Paul Lukowicz, and Sungho Suh
KU서승호
Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models
Youngji Roh, Hyunjin Cho, Jaehyung Kim
Yonsei김재형
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
Changhun Kim, Yechan Mun, Hyeongwon Jang, Eunseo Lee, Sangchul Hahn, Eunho Yang
KAIST양은호
Who Wins the Conflict? Mechanistic Interpretability of Text Bias in Audio LLMs
Hyebin Cho, Suho Yoo, Jaehyuk Jang, Changick Kim, Joon Son Chung
KAIST정준선
Generating Interpretable Context-Aware Medical Concept Embedding Implicating Expert Knowledge using LLMs
Bong Gyun Kang*, Hyeongrok Han*, Junyong Ahn, Myungdeok Jang, Ho Geol Ryu, Hyung-Chul Lee, Chang Wook Jeong, Dahuin Jung, Si-Baek Seong, Sungroh Yoon
SNU윤성로
SAVE: Sparse Autoencoder‑Driven Visual Information Enhancement for Mitigating Object Hallucination
Sangha Park, Seungryong Yoo, Jisoo Mok, Sungroh Yoon
SNU윤성로
FA-DeepMSM: A Few-shot Adapted Interpretable Multimodal Survival Model for Improved Prognostic Prediction in Glioblastoma
Minyoung Hwang, Junhyeok Lee, Sihyun Kim, Minchul Kim, Seung Hong Choi, Sung Soo Ahn, Changhee Lee, Kyu Sung Choi
KU이창희
Teach-to-Reason with Scoring: Self-Explainable Rationale-Driven Multi-Trait Essay Scoring
Heejin Do, Sangwon Ryu, Gary Geunbae Lee
POSTECH이근배, 김형훈