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公開日

Compliance in Databases: A Study of Structural Policies and Query Optimization

Ahana Pradhan, Srinivas Karthik, Imtiyazuddin Shaik, Srinivas Vivek

SeQureDB ’26 | April 2026

公開日

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models

Jingyun Jia, Chandan Singh, Rich Caruana, Benjamin J. Lengerich

April 2026

arXiv | April 2026

公開日

Sanity Checks for Agentic Data Science

Zachary T. Rewolinski, Austin Zane, Haoyang Huang, Chandan Singh, Chenglong Wang, Jianfeng Gao, Bin Yu

April 2026

arXiv | April 2026

ポッドキャスト

Ideas: Steering AI toward the work future we want

April 9, 2026

Microsoft Chief Scientist Jaime Teevan and researchers Jenna Butler, Jake Hofman, and Rebecca Janssen unpack the New Future of Work Report 2025 and explore the ideal AI-driven working world. Plus, is AI a tool or a collaborator? And…

New Future of Work 2026 | Jaime Teevan, Jenna Butler, Jake Hofman, Rebecca Janssen

公開日

RIB: Robust Learning-based Index Benefit Estimation

Sifan Chen, Chenning Wu, Yinan Jing, Wentao Wu, Zhenying He, Kai Zhang, X. Sean Wang

Proceedings of the ACM on Management of Data (SIGMOD 2026) | April 2026, 巻4(1)

公開日

GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

Saman Khamesian, Srilekha Balaji, D. Shi, S. M. Carpenter, Daniel E. Rivera, W. B. Knox, Peter Stone, Hassan Ghasemzadeh

April 2026

arXiv | April 2026

公開日

Computer-Using World Model

Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin Atahan Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

ICLR’26 Workshop on World Models | April 2026

プロジェクト

公開日

Predicting Neuromodulation Outcome for Parkinson’s Disease with Generative Virtual Brain Model

Siyuan Du, Siyi Li, Shuwei Bai, Ang Li, Haolin Li, Mingqing Xiao, Yang Pan, Dongsheng Li, Weidi Xie, Yanfeng Wang, Ya Zhang, Chencheng Zhang, Jiangchao Yao

March 2026

arXiv | March 2026

公開日

DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization

H. An, Sihyun Kim, Chaerim Lim, Hyunjoong Kim, Rathijit Sen, Sangmin Jung, Hye Yoon Lee, Dongwook Kim, Takki Yu, Jinkyu Jeong, Youngsok Kim, Kwanghyun Park

March 2026

arXiv | March 2026

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Chartifact

Declarative, interactive data documents Chartifact is a low-code document format for creating interactive, data-driven pages such as reports, dashboards, and presentations. It travels like a document and works like a mini app. Designed for use…

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