Statistical Artificial Intelligence Lab@KAIST

Artificial Intelligence and Machine Learning Research ⛵️

Category

Uncategorized

[Paper] A paper on diffusion planning is accepted at NeurIPS 2025.

[Paper] A paper, State-Covering Trajectory Stitching for Diffusion Planners, written by Kyowoon Lee and Jaesik Choi, is accepted at Conference on Neural Information Processing Systems (NeurIPS) 2025.

[Award] The 2025 INFFUS Best Paper Award

A review paper on XAI receives the best paper award from Information Fusion. Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue,… Continue Reading →

[Paper] A paper on adversarial robustness in deep neural networks is accepted at ICDM 2025.

A paper, On the Relationship between Populated Regions and Adversarial Robustness in Deep Neural Networks, written by Seongjin Park, Haedong Jeong, Tair Djanibekov, Giyoung Jeon, Jinseok Seol, and Jaesik Choi is accepted at ICDM 2025.

[Paper] A paper on semantic inconsistency in LLMs has been accepted to Findings of EMNLP 2026.

    A paper, When Format Changes Meaning: Investigating Semantic Inconsistency of Large Language Model, written by Cheongwoong Kang, Jongeun Baek, Yeonjea Kim, and Jaesik Choi is accepted at Findings of EMNLP 2025.

[Paper] A paper on efficient model explanation is accepted at CIKM 2025.

A paper, Amortized Baseline Selection via Rank-Revealing QR for Efficient Model Explanation, written by Chanwoo Lee, Youngjin Park, Hyeongeun Lee, Yeeun Yoo, Daehee Han, Junho Choi, Geonhyeong Kim, Nari Kim, and Jaesik Choi is accepted at CIKM 2025.

[Paper] A paper on concept discovery for weather forecasting is accepted at PLOS Climate 2025.

    A paper, Unsupervised Concept Discovery for Deep Weather Forecast Models with High-Resolution Radar Data, written by Soyeon Kim, Junho Choi, Subeen Lee, and Jaesik Choi is accepted at PLOS Climate 2025.  

[Paper] A paper is accepted at Neurocomputing [100th paper!]

A paper, Deep-DFVAR: Dynamic Factor Vector Autoregression with Deep Learning for Regional House Price Index Forecasting, written by Jisu Yeo, Artyom Stitsyuk and Jaesik Choi is accepted at Neurocomputing.

[Paper] A paper to visualize the internal trait of deep neural network is accepted at ICCV 2025

A paper, Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations, written by Dahee Kwon*, Sehyun Lee* and Jaesik Choi is accepted at ICCV-2025.

[Paper] A paper is accepted at AMS Artificial Intelligence for the Earth Systems

A paper, Example-Based Concept Analysis Framework for Deep Weather Forecast Models, written by Soyeon Kim, Junho Choi, Subeen Lee and Jaesik Choi is accepted at AMS Artificial Intelligence for the Earth Systems.

[Paper] A paper is accepted at IEEE Access.

A paper, Context-Aware Negative Sampling for Sequential Recommendation written by Jinseok Seol and Jaesik Choi, is accepted at IEEE Access.

© 2026 Statistical Artificial Intelligence Lab@KAIST — Powered by WordPress

Theme by Anders NorenUp ↑