관련 연구실
등급은 학회·저널 분류이며 연구실 순위가 아닙니다.
- SNU머신러닝
이상학Causality Lab
관련 논문 19편비중 66%연구 분야에 명시- 2026Counterfactual Structural Causal Bandits ICLR
- 2026Mitigating Length Bias in RLHF through a Causal Lens AAAI
- 2026Beyond Bounds: Quantifying the Probability of Counterfactual Fairness UAI
- Yonsei머신러닝
송경우MLAI Lab
관련 논문 7편비중 8%연구 분야에 명시- 2026Dissecting Causal Mechanism Shifts via FANS: Function And Noise Separation ICML
- 2026CBPE: Causal-aware Blood Pressure Estimation with Multimodal Data ACM SAC
- 2025Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis CIKM
- SNU머신러닝
박건웅Data Science & Machine Learning Lab
관련 논문 3편비중 43%연구 분야에 명시- 2026Discovering Causal Structures in Corrupted Data: Frugality in Anchored Gaussian DAG Models Computational Statistics & Data Analysis
- 2026Probabilistic Edge Modulation for High-Dimensional Causal Discovery UAI
- 2025Discretization: Privacy-preserving data publishing for causal discovery Computational Statistics & Data Analysis
- KAIST컴퓨터 비전
노용만IVY Lab
관련 논문 8편비중 11%- 2026A Causal Lens on Non-RGB Vision Sensor Understanding in Vision Language Models IEEE TIP
- 2026Causal Unsupervised Semantic Segmentation Pattern Recognition
- 2025Advancing Causal Intervention in Image Captioning with Causal Prompt IEEE TNNLS
- SNU데이터 마이닝
박현우DIAL Lab
관련 논문 4편비중 11%- 2026Event-Driven Causal Discovery for Root Cause Analysis in Semiconductor Fabrication Data Center ICDM
- 2026From Text to Structure: The PACKaGE Benchmark for Bidirectional Causal Reasoning in Paragraphs and Graphs EMNLP
- 2026Spillover-Robust Synthetic Control: Addressing Network Interference in Causal Inference AOM
- KUAI for Science
석흥일Machine Intelligence Lab
관련 논문 4편비중 8%- 2026Causal Manifold Transport for Identifiable Causal Generation in Diffusion Models IJCAI
- 2026Context-Aware Pruning for Ordering-Based Causal Discovery CIKM
- 2025Quantized Factor Identifiable Causal Effect Variational Autoencoder CIKM
- SNU머신러닝
장병탁BI Lab
관련 논문 3편비중 4%연구 분야에 명시- 2024Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML
- 2023Causal Dynamics Learning with Quantized Local Independence Discovery ICML
- 2023Quantized Local Independence Discovery for Fine-Grained Causal Dynamics Learning in Reinforcement Learning NeurIPS
- KU머신러닝
이성환PRML Lab
관련 논문 5편비중 3%- 2025Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion Model IEEE TNNLS
- 2025Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition CVPR
- 2025Semantic Prioritization in Visual Counterfactual Explanations with Weighted Segmentation and Auto-Adaptive Region Selection Neural Networks
- KU머신러닝
김성웅, 임성빈AGI Lab
관련 논문 3편비중 9%- 2026ORCA: ORchestrating Causal Agent CHI
- 2025Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery NeurIPS
- 2024On Incorporating Prior Knowledge Extracted from Pre-trained Language Models into Causal Discovery NeurIPS
- SNU머신러닝
김용대IDEA Lab
관련 논문 1편비중 4%연구 분야에 명시- 2023Covariate balancing using the integral probability metric for causal inference ICML
- SNU머신러닝
윤성로AI Lab
관련 논문 3편비중 3%- 2026HEAR Who Said What: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice Grounding EMNLP
- 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML
- 2023Grounding Counterfactual Explanation of Image Classifier to Textual Concept Space CVPR
- KU머신러닝
이창희AIX
연구 분야에 명시 - KAIST머신러닝
김희영Engineering Data Science Lab
관련 논문 2편비중 6%- 2026Order-based Causal Discovery for Multistage Processes IEEE TKDE
- 2025Simultaneous Treatment Effect Estimation and Variable Selection for Observational Data IISE Transactions
- SNU머신러닝
문태섭M.IN.D Lab
관련 논문 2편비중 5%- 2026PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset EMNLP
- 2024Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? – A Theoretical and Empirical Study NeurIPS
- SNU자연어처리·LLM
도재영AIDAS Lab
관련 논문 2편비중 6%- 2026RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning Models ICLR
- 2023Grounding counterfactual explanation of image classifiers to textual concept space CVPR
- POSTECH머신러닝
이재호EffL Lab
관련 논문 2편비중 5%- 2026Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models ACL Findings
- 2023Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling TMLR
- SNU컴퓨터 비전
곽노준MIPAL Lab
관련 논문 2편비중 2%- 2025Causal Interpretation of Sparse Autoencoder Features in Vision ICCV
- 2024Exploring Causal Mechanisms for Machine Text Detection Methods NAACL
- KAIST머신러닝
최재식SAIL Lab
관련 논문 2편비중 4%- 2025Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models INTERSPEECH
- 2023CR-COPEC: Causal Rationale of Corporate Performance Changes to learn from Financial Reports EMNLP Findings
- Yonsei머신러닝
조성배SCLAB
관련 논문 2편비중 3%- 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
- KAIST머신러닝
신진우ALIN Lab
관련 논문 2편비중 2%- 2025Enhancing LLM Agent Safety via Causal Influence Prompting ACL Findings
- 2023Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling TMLR
- Yonsei데이터 마이닝
장백철ANDLab
관련 논문 1편비중 3%- 2026MAGNET: Counterfactual samples synthesizing for mitigating hallucination in large language models PLOS ONE
- SNU자연어처리·LLM
유영재PI Lab
관련 논문 1편비중 1%- 2026Investigating Counterfactual Unfairness in LLMs towards Identities through Humor ACL
- SNU자연어처리·LLM
정교민MI Lab
관련 논문 1편비중 1%- 2026CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution ICML
- KAIST음성·오디오
남주한MAC Lab
관련 논문 1편비중 1%- 2026CounterFlow: A Two-Phase Inference-Time Sampling for Counterfactual Video Foley Generation CVPR
- KAIST데이터 마이닝
신기정Data Mining Lab
관련 논문 1편비중 1%- 2026Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models RecSys
- KAIST자연어처리·LLM
오혜연U&I Lab
관련 논문 1편비중 1%- 2026Investigating Counterfactual Unfairness in LLMs towards Identities through Humor ACL
- KAIST머신러닝
오성준STAI Lab
관련 논문 1편비중 2%- 2025Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles ICLR
- KAIST머신러닝
이기민
관련 논문 1편비중 2%- 2025Enhancing LLM Agent Safety via Causal Influence Prompting ACL Findings
- SNU자연어처리·LLM
황승원LDI Lab
관련 논문 1편비중 1%- 2025Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models ACL
- KAIST머신러닝
안성수SPML Lab
관련 논문 1편비중 2%- 2025Enhancing LLM Agent Safety via Causal Influence Prompting ACL
- KAIST음성·오디오
정준선Multimodal AI Lab
관련 논문 1편비중 1%- 2025High-Quality Joint Image and Video Compression with Causal VAE ICLR
- KAIST데이터 마이닝
황지영Big Data Intelligence Lab
관련 논문 1편비중 5%- 2024Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise NAACL Findings
- KAIST머신러닝
이상완AI Brain Lab
관련 논문 1편비중 2%- 2024Controlling human causal inference through in-silico task design Cell Reports
- SNUAI for Science
이승근
관련 논문 1편비중 4%- 2023Investigation of Genetic Variants and Causal Biomarkers Associated with Brain Aging Scientific Reports
- KAIST머신러닝
성영철SISReL
관련 논문 1편비중 3%- 2023Off-policy multi-agent policy optimization with multi-step counterfactual advantage estimation Adaptive and Learning Agents (ALA) Workshop at AAMAS
- KU음성·오디오
김찬우SLPL
관련 논문 1편비중 4%- 2023Counterfactual two-stage debiasing for video corpus moment retrieval ICASSP
- KAIST컴퓨터 비전
김현우MLV Lab
관련 논문 1편비중 1%- 2023Large Language Models are Temporal and Causal Reasoners for Video Question Answering EMNLP
- KAIST데이터 마이닝
박찬영DSAIL
관련 논문 1편비중 1%- 2023Shift-Robust Molecular Relational Learning with Causal Substructure KDD
- KU자연어처리·LLM
임희석NLP&AI Lab
관련 논문 1편비중 1%- 2023CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings EMNLP Findings