| 2026 | ACL | K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology. | Soyeon Kim, Cheongwoong Kang, Myeongjin Lee, Eun-Chul Chang, Lee Jaedeok, Jaesik Choi |
| 2026 | ACL | Incomplete Prompt Jailbreaks in Large Language Models. | Yeonjea Kim, Bumjin Park, Jaesik Choi |
| 2025 | AAAI | Diverse Rare Sample Generation with Pretrained GANs. | Subeen Lee, Jiyeon Han, Soyeon Kim, Jaesik Choi |
| 2025 | AAAI | xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition. | Artyom Stitsyuk, Jaesik Choi |
| 2025 | ACL | Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models. | Bumjin Park, Leejinsil Leejinsil, Jaesik Choi |
| 2025 | CIKM | Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics. | Jaesik Choi, Bohyung Han, Myoung-Wan Koo, Kyungman Bae, Chang D. Yoo, Simon S. Woo, Wojciech Samek |
| 2025 | CIKM | Amortized Baseline Selection via Rank-Revealing QR for Efficient Model Explanation. | Chanwoo Lee, Youngjin Park, Hyeongeun Lee, Yeeun Yoo, Daehee Han, Junho Choi, Geonhyeong Kim, Nari Kim, Jaesik Choi |
| 2025 | CVPR | Enhancing Creative Generation on Stable Diffusion-based Models. | Jiyeon Han, Dahee Kwon, Gayoung Lee, Junho Kim, Jaesik Choi |
| 2025 | EMNLP | When Format Changes Meaning: Investigating Semantic Inconsistency of Large Language Models. | Cheongwoong Kang, Jongeun Baek, Yeonjea Kim, Jaesik Choi |
| 2025 | ICCV | Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations. | Dahee Kwon, Sehyun Lee, Jaesik Choi |
| 2025 | ICDM | On the Relationship Between Populated Regions and Adversarial Robustness in Deep Neural Networks. | Seongjin Park, Haedong Jeong, Tair Djanibekov, Giyoung Jeon, Jinseok Seol, Jaesik Choi |
| 2025 | ICLR | Rethinking Shapley Value for Negative Interactions in Non-convex Games. | Wonjoon Chang, Myeongjin Lee, Jaesik Choi |
| 2025 | ICLR | Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning. | Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan M. Tran, David Leo Wright Hall, Cheongwoong Kang, Jaesik Choi |
| 2025 | ICML | Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning. | Kyowoon Lee, Jaesik Choi |
| 2025 | Interspeech | Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models. | Kyowoon Lee, Artyom Stitsyuk, Gunu Jho, Inchul Hwang, Jaesik Choi |
| 2024 | AAAI | Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision. | Wonjoon Chang, Dahee Kwon, Jaesik Choi |
| 2024 | AAAI | Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings. | Jihyeon Seong, Jungmin Kim, Jaesik Choi |
| 2024 | AISTATS | Pathwise Explanation of ReLU Neural Networks. | Seongwoo Lim, Won Jo, Joohyung Lee, Jaesik Choi |
| 2024 | IJCAI | Memorizing Documents with Guidance in Large Language Models. | Bumjin Park, Jaesik Choi |
| 2024 | IJCAI | Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning. | Jihyeon Seong, Sekwang Oh, Jaesik Choi |
| 2023 | EMNLP | CR-COPEC: Causal Rationale of Corporate Performance Changes to learn from Financial Reports. | Ye Eun Chun, Sunjae Kwon, Kyunghwan Sohn, Nakwon Sung, Junyoup Lee, Byoung Seo, Kevin Compher, Seung-won Hwang, Jaesik Choi |
| 2023 | EMNLP | Impact of Co-occurrence on Factual Knowledge of Large Language Models. | Cheongwoong Kang, Jaesik Choi |
| 2023 | HCI | Explainable AI-Based Interface System for Weather Forecasting Model. | Soyeon Kim, Junho Choi, Yeji Choi, Subeen Lee, Artyom Stitsyuk, Minkyoung Park, Seongyeop Jeong, You-Hyun Baek, Jaesik Choi |
| 2023 | ICCV | Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling. | Giyoung Jeon, Haedong Jeong, Jaesik Choi |
| 2023 | ICLR | Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images. | Jiyeon Han, Hwanil Choi, Yunjey Choi, Junho Kim, Jung-Woo Ha, Jaesik Choi |
| 2023 | ICML | Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills. | Seongun Kim, Kyowoon Lee, Jaesik Choi |
| 2023 | ICRA | Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning. | Kyowoon Lee, Seongun Kim, Jaesik Choi |
| 2023 | ITC | Algorithmic Read Resistance Trim for Improving Yield and Reducing Test Time in MRAM. | Daehyun Chang, Youngdae Kim, Suksoo Pyo, Shin Hun, Daesop Lee, Sohee Hwang, Jaesik Choi, Siwoong Kim |
| 2022 | AAAI | An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. | Haedong Jeong, Jiyeon Han, Jaesik Choi |
| 2022 | IJCAI | Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks? | Hwanil Choi, Wonjoon Chang, Jaesik Choi |
| 2021 | AAAI | Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. | Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee |
| 2021 | AAAI | Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems. | Anh Tong, Jaesik Choi |
| 2021 | AAAI | Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior. | Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi |
| 2021 | CVPR | Automatic Correction of Internal Units in Generative Neural Networks. | Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi |
| 2021 | ICML | Conditional Temporal Neural Processes with Covariance Loss. | Boseon Yoo, Jiwoo Lee, Janghoon Ju, Seijun Chung, Soyeon Kim, Jaesik Choi |
| 2021 | IROS | Explaining the Decisions of Deep Policy Networks for Robotic Manipulations. | Seongun Kim, Jaesik Choi |
| 2021 | KDD | Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes. | Sohee Cho, Wonjoon Chang, Ginkyeng Lee, Jaesik Choi |
| 2020 | AAAI | An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. | Giyoung Jeon, Haedong Jeong, Jaesik Choi |
| 2020 | AAAI | Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. | Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee |
| 2020 | ICRA | A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection. | Dongwon Park, Yonghyeok Seo, Dongju Shin, Jaesik Choi, Se Young Chun |
| 2020 | KDD | Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data. | Jaesik Choi |
| 2020 | USENIX | HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism. | Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Seungmin Lee, Jaesik Choi, Sam H. Noh, Young-ri Choi |
| 2019 | ICML | Discovering Latent Covariance Structures for Multiple Time Series. | Anh Tong, Jaesik Choi |
| 2019 | IJCAI | Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes. | Jiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi |
| 2018 | ICDM | Learning the Group Structure of Deep Neural Networks with an Expectation Maximization Method. | Subin Yi, Jaesik Choi |
| 2018 | ICML | Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling. | Kyowoon Lee, Sol-A. Kim, Jaesik Choi, Seong-Whan Lee |
| 2017 | DCC | Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns. | Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu |
| 2017 | SSDBM | Improving Statistical Similarity Based Data Reduction for Non-Stationary Data. | Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu |
| 2016 | BMVC | Global Deconvolutional Networks for Semantic Segmentation. | Vladimir Nekrasov, Janghoon Ju, Jaesik Choi |
| 2016 | ICML | Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series. | Yunseong Hwang, Anh Tong, Jaesik Choi |
| 2016 | UAI | Improving Imprecise Compressive Sensing Models. | Dongeun Lee, Rafael Lima, Jaesik Choi |
| 2016 | SSDBM | Novel Data Reduction Based on Statistical Similarity. | Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu |
| 2015 | AAAI | Learning Relational Kalman Filtering. | Jaesik Choi, Eyal Amir, Tianfang Xu, Albert J. Valocchi |
| 2015 | DAC | Memory heat map: anomaly detection in real-time embedded systems using memory behavior. | Man-Ki Yoon, Lui Sha, Sibin Mohan, Jaesik Choi |
| 2015 | EMNLP | Reading Documents for Bayesian Online Change Point Detection. | Taehoon Kim, Jaesik Choi |
| 2015 | IJCAI | A Deterministic Partition Function Approximation for Exponential Random Graph Models. | Wen Pu, Jaesik Choi, Yunseong Hwang, Eyal Amir |
| 2015 | SDM | Learning Compressive Sensing Models for Big Spatio-Temporal Data. | Dongeun Lee, Jaesik Choi |
| 2014 | AAAI | Parameter Estimation for Relational Kalman Filtering. | Jaesik Choi, Eyal Amir, Tianfang Xu, Albert J. Valocchi |
| 2013 | AAAI | Lifted Inference on Transitive Relations. | Wen Pu, Jaesik Choi, Eyal Amir |
| 2013 | RTAS | SecureCore: A multicore-based intrusion detection architecture for real-time embedded systems. | Man-Ki Yoon, Sibin Mohan, Jaesik Choi, Jung-Eun Kim, Lui Sha |
| 2012 | UAI | Lifted Relational Variational Inference. | Jaesik Choi, Eyal Amir |
| 2011 | AAAI | Efficient Methods for Lifted Inference with Aggregate Factors. | Jaesik Choi, Rodrigo de Salvo Braz, Hung Hai Bui |
| 2011 | IJCAI | Lifted Relational Kalman Filtering. | Jaesik Choi, Abner Guzmn-Rivera, Eyal Amir |
| 2010 | AAAI | Lifted Inference for Relational Continuous Models. | Jaesik Choi, David J. Hill, Eyal Amir |
| 2010 | UAI | Lifted Inference for Relational Continuous Models. | Jaesik Choi, Eyal Amir, David J. Hill |
| 2009 | IJCAI | Greedy Algorithms for Sequential Sensing Decisions. | Hannaneh Hajishirzi, Afsaneh Shirazi, Jaesik Choi, Eyal Amir |
| 2009 | ICRA | Combining planning and motion planning. | Jaesik Choi, Eyal Amir |
| 2007 | IROS | Factor-guided motion planning for a robot arm. | Jaesik Choi, Eyal Amir |