Statistical Artificial Intelligence Lab@KAIST

Dr. Anh Tong (the first PhD graduate of SAIL) joins the Graduate School of AI at Korea University as an assistant professor. Congratulate Prof. Tong! http://xai.korea.ac.kr/teacher/teacher

A paper, Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions, is accepted at Information Fusion.

A paper, Pathwise Explanation of ReLU Neural Networks, written by Seongwoo Lim, Won Jo, Joohyung Lee and Jaesik Choi, is accepted at AISTATS-24.

A paper, Towards Diverse Perspective Learning with Select over Multiple Temporal Poolings, written by Jihyeon Seong, Jungmin Kim and Jaesik Choi 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.

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 →

– 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 →

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.

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.