Integrative analyses of whole-blood gene expression and splicing QTLs with protein, metabolite and lipid QTLs from the same individuals shed light on the shared genetic architecture of molecular traits and health outcomes. Alex Tokolyi Elodie Persyn ...
Machine Learning Research Homepage HTML4040 papersitepapersitePublic Forked frommreid/papersite Code for generating volumes of the Proceedings of Machine Learning Research TeX71 Repositories Type Language Sort v260Public Proceedings of ACML 2024 TeX0000UpdatedJan 14, 2025 ...
Code and Data for the paper: On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks (NeurIPS 2024) PSTPublic Protein Structure Transformer (PST): Endowing pretrained protein language models with structural knowledge ...
We became one of the world's first companies to launch a cloud enhancement function backed by technologies like on-cloud algorithms for foundation models trained with hundreds of millions of parameters, a hybrid network supporting both photo preview and sensing, and high image compression. It helps...
AI Algorithms Foundation models are driving us ever closer to a truly intelligent world, but they also present a number of new challenges. Our innovations in AI algorithms focus on transforming these challenges into opportunities. To date, Ascend clusters have been used to train trillions of high...
Transfer Learning in Scalable Graph Neural Network for Improved Physical Simulation content typepaper|research areaMethods and Algorithms,research areaTools, Platforms, Frameworks|Published year2025 AuthorsSiqi Shen, Yu Liu, Daniel Biggs, Omar Hafez, Jiandong Yu, Wentao Zhang, Bin Cui, Jiulong Shan ...
s resolution, which can be significantly higher (for example, a 12 MP photo captured using an iPhone has a resolution of 3024×4032). To preserve the subject’s fine-grained details, such as hair and fur, a content-aware upsampling method is used, as referenced in the paperGuided Image ...
The vigorous development of the construction industry has also brought unprecedented safety risks. The wearing of safety helmets at the construction site can effectively reduce casualties. As a result, this paper suggests employing a deep learning-based
JMLR seeks previously unpublished papers on machine learning that contain: new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or biological nature; experimental and/or theoretical studies yielding new insight into the design and behavior of learnin...
This paper reviews the recent literature on solving the Boolean satisfiability problem (SAT), an archetypal-complete problem, with the aid of machine learning (ML) techniques. Over the last decade, the machine learning society advances rapidly and surpasses human performance on several tasks. This ...