Statistical Artificial Intelligence Lab@KAIST

Artificial Intelligence and Machine Learning Research ⛵️

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[Paper] A paper explaining implicit feature learning, Relaxed Decision Region (RDR), is accepted at AAAI-24

A paper, Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision, written by Wonjoon Chang, Dahee Kwon and Jaesik Choi is accepted at AAAI-2024.

[Paper] A paper for XAI for Weather Forecasting is published

Explainable AI-Based Interface System for Weather Forecasting Model written by Soyeon Kim, Junho Choi, Yeji Choi, Subeen Lee, Artyom Stitsyuk, Minkyoung Park, Seongyeop Jeong, You-Hyun Baek and Jaesik Choi is presented at International Conference on Human-Computer Interaction International (HCII), 2023…. Continue Reading →

[Paper] Two papers are accepted at the Findings of EMNLP 2023

– Ye Eun Chun, Sunjae Kwon, Kyunghwan Sohn, Nakwon Sung, Junyoup Lee, Byoung Ki Seo, Kevin Compher, Seung-won Hwang and Jaesik Choi, CR-COPEC: Causal Rationale of Corporate Performance Changes to learn from Financial Reports, Findings of EMNLP, 2023. – Cheongwoong… Continue Reading →

[Paper] A paper is accepted at ACM ICAIF 2023

A paper, SigFormer: Signature Transformers for Deep Hedging, written by Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Toan Tran and Jaesik Choi is accepted at ACM ICAIF 2023.

[Paper] A paper is accepted at NeurIPS 2023

A paper, Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans, written by Kyowoon Lee, Seongun Kim and Jaesik Choi is accepted at NeurIPS-2023.

[Important] A Message to New Applicants of our Lab and XAI center

Dear potential candidate of the lab (SAIL@KAIST) and the center (XAI@KAIST), Recently we have received many applications for the graduate studentship positions at KAIST Kim Jaechul Graduate School of AI and the researcher positions at Explainable Artificial Intelligence Center at… Continue Reading →

[Paper] A paper is accepted at ICCV-2023

A paper, Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling, written by Giyoung Jeon, Haedong Jeong and Jaesik Choi is accepted at ICCV-2023.

[Talk] Seongun presents at ICRA 2023 Explainable Robotics Workshop.

Seongun Kim, a PhD student of our lab, presented at Explainable Robotics Workshop at ICRA 2023 as an invited speaker.

[Paper] A Paper is accepted at ICML-23

Our paper, Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills, written by Seongun Kim, Kyowoon Lee and Jaesik Choi is accepted at ICML-23.

[Paper] A paper is accepted at ICLR-23

Our paper, Rarity Score: A New Metric to Evaluate the Uncommonness of Synthesized Images, written by Jiyeon Han, Hwanil Choi, Yunjey Choi, Junho Kim, Jung-Woo Ha and Jaesik Choi is accepted at ICLR-23.

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