by instadatahelp | Aug 28, 2023 | AI Blogs
Neural Q-learning for solving PDEs Samuel N. Cohen, Deqing Jiang, Justin Sirignano; 24(236):1−49, 2023. Abstract Solving high-dimensional partial differential equations (PDEs) is a significant challenge in scientific computing. In this study, we propose a novel...
by instadatahelp | Aug 28, 2023 | AI Blogs
arXivLabs is a platform where collaborators can create and share new features for arXiv directly on our website. Both individuals and organizations that collaborate with arXivLabs have embraced and embraced our values of openness, community, excellence, and user data...
by instadatahelp | Aug 28, 2023 | AI Blogs
Faith-Shap: The Faithful Shapley Interaction Index Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar; 24(94):1−42, 2023. Abstract Shapley values, originally designed to assign attributions to individual players in coalition games, are now commonly used in explainable...
by instadatahelp | Aug 28, 2023 | AI Blogs
Large language models (LLMs) have significantly transformed natural language processing tasks. However, their practical implementation is hindered by their extensive memory and computation requirements. While recent post-training quantization (PTQ) methods have proven...
by instadatahelp | Aug 28, 2023 | AI Blogs
AWS and the University of San Francisco’s Data Institute collaborated to organize a datathon as part of the 2023 Data Science Conference (DSCO 23). The competition involved high school and undergraduate students working on a data science project focused on air...
by instadatahelp | Aug 28, 2023 | AI Blogs
Scalable Computation of Causal Bounds Authors: Madhumitha Shridharan, Garud Iyengar; Journal: 24(237):1−35, 2023. Abstract This study focuses on the problem of computing bounds for causal queries on causal graphs with unobserved confounders and discrete-valued...
