Statistical Artificial Intelligence Lab@KAIST

Artificial Intelligence and Machine Learning Research ⛵️

[News] Dr. Anh Tong joins the Graduate School of AI at Korea University as an assistant professor

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

[Paper] Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

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

[Paper] A paper explaining individual path of deep neural networks is accepted at AISTATS-24

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

[Paper] A paper selecting over multiple temporal pooling methods, Select over Multiple Temporal Pooling (SoM-TP), is accepted at AAAI-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.

[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 →

« Older posts

© 2024 Statistical Artificial Intelligence Lab@KAIST — Powered by WordPress

Theme by Anders NorenUp ↑