주제로 연구실 찾기

1. SNU·머신러닝

   이상학Causality Lab

   관련도관련 논문 19편비중 66%연구 분야에 명시
   • 2026Counterfactual Structural Causal BanditsICLR
   • 2026Mitigating Length Bias in RLHF through a Causal LensAAAI
   • 2026Beyond Bounds: Quantifying the Probability of Counterfactual FairnessUAI
2. Yonsei·머신러닝

   송경우MLAI Lab

   관련도관련 논문 7편비중 8%연구 분야에 명시
   • 2026Dissecting Causal Mechanism Shifts via FANS: Function And Noise SeparationICML
   • 2026CBPE: Causal-aware Blood Pressure Estimation with Multimodal DataACM SAC
   • 2025Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster AnalysisCIKM
3. SNU·머신러닝

   박건웅Data Science & Machine Learning Lab

   관련도관련 논문 3편비중 43%연구 분야에 명시
   • 2026Discovering Causal Structures in Corrupted Data: Frugality in Anchored Gaussian DAG ModelsComputational Statistics & Data Analysis
   • 2026Probabilistic Edge Modulation for High-Dimensional Causal DiscoveryUAI
   • 2025Discretization: Privacy-preserving data publishing for causal discoveryComputational Statistics & Data Analysis
4. KAIST·컴퓨터 비전

   노용만IVY Lab

   관련도관련 논문 8편비중 11%
   • 2026A Causal Lens on Non-RGB Vision Sensor Understanding in Vision Language ModelsIEEE TIP
   • 2026Causal Unsupervised Semantic SegmentationPattern Recognition
   • 2025Advancing Causal Intervention in Image Captioning with Causal PromptIEEE TNNLS
5. SNU·데이터 마이닝

   박현우DIAL Lab

   관련도관련 논문 4편비중 11%
   • 2026Event-Driven Causal Discovery for Root Cause Analysis in Semiconductor Fabrication Data CenterICDM
   • 2026From Text to Structure: The PACKaGE Benchmark for Bidirectional Causal Reasoning in Paragraphs and GraphsEMNLP
   • 2026Spillover-Robust Synthetic Control: Addressing Network Interference in Causal InferenceAOM
6. KU·AI for Science

   석흥일Machine Intelligence Lab

   관련도관련 논문 4편비중 8%
   • 2026Causal Manifold Transport for Identifiable Causal Generation in Diffusion ModelsIJCAI
   • 2026Context-Aware Pruning for Ordering-Based Causal DiscoveryCIKM
   • 2025Quantized Factor Identifiable Causal Effect Variational AutoencoderCIKM
7. SNU·머신러닝

   장병탁BI Lab

   관련도관련 논문 3편비중 4%연구 분야에 명시
   • 2024Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement LearningICML
   • 2023Causal Dynamics Learning with Quantized Local Independence DiscoveryICML
   • 2023Quantized Local Independence Discovery for Fine-Grained Causal Dynamics Learning in Reinforcement LearningNeurIPS
8. KU·머신러닝

   이성환PRML Lab

   관련도관련 논문 5편비중 3%
   • 2025Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion ModelIEEE TNNLS
   • 2025Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency PartitionCVPR
   • 2025Semantic Prioritization in Visual Counterfactual Explanations with Weighted Segmentation and Auto-Adaptive Region SelectionNeural Networks
9. KU·머신러닝

   김성웅, 임성빈AGI Lab

   관련도관련 논문 3편비중 9%
   • 2026ORCA: ORchestrating Causal AgentCHI
   • 2025Score-informed Neural Operator for Enhancing Ordering-based Causal DiscoveryNeurIPS
   • 2024On Incorporating Prior Knowledge Extracted from Pre-trained Language Models into Causal DiscoveryNeurIPS
10. SNU·머신러닝

    김용대IDEA Lab

    관련도관련 논문 1편비중 4%연구 분야에 명시
    • 2023Covariate balancing using the integral probability metric for causal inferenceICML
11. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 3편비중 3%
    • 2026HEAR Who Said What: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice GroundingEMNLP
    • 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly DetectionICML
    • 2023Grounding Counterfactual Explanation of Image Classifier to Textual Concept SpaceCVPR
12. KU·머신러닝

    이창희AIX

    관련도연구 분야에 명시
13. KAIST·머신러닝

    김희영Engineering Data Science Lab

    관련도관련 논문 2편비중 6%
    • 2026Order-based Causal Discovery for Multistage ProcessesIEEE TKDE
    • 2025Simultaneous Treatment Effect Estimation and Variable Selection for Observational DataIISE Transactions
14. SNU·머신러닝

    문태섭M.IN.D Lab

    관련도관련 논문 2편비중 5%
    • 2026PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative DatasetEMNLP
    • 2024Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? – A Theoretical and Empirical StudyNeurIPS
15. SNU·자연어처리·LLM

    도재영AIDAS Lab

    관련도관련 논문 2편비중 6%
    • 2026RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning ModelsICLR
    • 2023Grounding counterfactual explanation of image classifiers to textual concept spaceCVPR
16. POSTECH·머신러닝

    이재호EffL Lab

    관련도관련 논문 2편비중 5%
    • 2026Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language ModelsACL Findings
    • 2023Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective SamplingTMLR
17. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련도관련 논문 2편비중 2%
    • 2025Causal Interpretation of Sparse Autoencoder Features in VisionICCV
    • 2024Exploring Causal Mechanisms for Machine Text Detection MethodsNAACL
18. KAIST·머신러닝

    최재식SAIL Lab

    관련도관련 논문 2편비중 4%
    • 2025Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS ModelsINTERSPEECH
    • 2023CR-COPEC: Causal Rationale of Corporate Performance Changes to learn from Financial ReportsEMNLP Findings
19. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 2편비중 3%
    • 2025Causally explainable artificial intelligence on deep learning model for energy demand predictionEngineering Applications of Artificial Intelligence
    • 2023A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy DemandHAIS
20. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 2편비중 2%
    • 2025Enhancing LLM Agent Safety via Causal Influence PromptingACL Findings
    • 2023Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective SamplingTMLR
21. Yonsei·데이터 마이닝

    장백철ANDLab

    관련도관련 논문 1편비중 3%
    • 2026MAGNET: Counterfactual samples synthesizing for mitigating hallucination in large language modelsPLOS ONE
22. SNU·자연어처리·LLM

    유영재PI Lab

    관련도관련 논문 1편비중 1%
    • 2026Investigating Counterfactual Unfairness in LLMs towards Identities through HumorACL
23. SNU·자연어처리·LLM

    정교민MI Lab

    관련도관련 논문 1편비중 1%
    • 2026CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal AttributionICML
24. KAIST·음성·오디오

    남주한MAC Lab

    관련도관련 논문 1편비중 1%
    • 2026CounterFlow: A Two-Phase Inference-Time Sampling for Counterfactual Video Foley GenerationCVPR
25. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 1편비중 1%
    • 2026Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language ModelsRecSys
26. KAIST·자연어처리·LLM

    오혜연U&I Lab

    관련도관련 논문 1편비중 1%
    • 2026Investigating Counterfactual Unfairness in LLMs towards Identities through HumorACL
27. KAIST·머신러닝

    오성준STAI Lab

    관련도관련 논문 1편비중 2%
    • 2025Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse EnsemblesICLR
28. KAIST·머신러닝

    이기민

    관련도관련 논문 1편비중 2%
    • 2025Enhancing LLM Agent Safety via Causal Influence PromptingACL Findings
29. SNU·자연어처리·LLM

    황승원LDI Lab

    관련도관련 논문 1편비중 1%
    • 2025Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language ModelsACL
30. KAIST·머신러닝

    안성수SPML Lab

    관련도관련 논문 1편비중 2%
    • 2025Enhancing LLM Agent Safety via Causal Influence PromptingACL
31. KAIST·음성·오디오

    정준선Multimodal AI Lab

    관련도관련 논문 1편비중 1%
    • 2025High-Quality Joint Image and Video Compression with Causal VAEICLR
32. KAIST·데이터 마이닝

    황지영Big Data Intelligence Lab

    관련도관련 논문 1편비중 5%
    • 2024Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseNAACL Findings
33. KAIST·머신러닝

    이상완AI Brain Lab

    관련도관련 논문 1편비중 2%
    • 2024Controlling human causal inference through in-silico task designCell Reports
34. SNU·AI for Science

    이승근

    관련도관련 논문 1편비중 4%
    • 2023Investigation of Genetic Variants and Causal Biomarkers Associated with Brain AgingScientific Reports
35. KAIST·머신러닝

    성영철SISReL

    관련도관련 논문 1편비중 3%
    • 2023Off-policy multi-agent policy optimization with multi-step counterfactual advantage estimationAdaptive and Learning Agents (ALA) Workshop at AAMAS
36. KU·음성·오디오

    김찬우SLPL

    관련도관련 논문 1편비중 4%
    • 2023Counterfactual two-stage debiasing for video corpus moment retrievalICASSP
37. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 1편비중 1%
    • 2023Large Language Models are Temporal and Causal Reasoners for Video Question AnsweringEMNLP
38. KAIST·데이터 마이닝

    박찬영DSAIL

    관련도관련 논문 1편비중 1%
    • 2023Shift-Robust Molecular Relational Learning with Causal SubstructureKDD
39. KU·자연어처리·LLM

    임희석NLP&AI Lab

    관련도관련 논문 1편비중 1%
    • 2023CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated ConfoundingsEMNLP Findings

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