by instadatahelp | Sep 5, 2023 | AI Blogs
Benchmarking Graph Neural Networks – Rewrite Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson; 24(43):1−48, 2023. Abstract Over the past few years, graph neural networks (GNNs) have become the standard tool...
by instadatahelp | Sep 5, 2023 | AI Blogs
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang; 24(150):1−12, 2023. Abstract Population-based multi-agent...
by instadatahelp | Sep 5, 2023 | AI Blogs
The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification Nicolás García Trillos, Matt Jacobs, Jakwang Kim; 24(45):1−56, 2023. Abstract This paper explores a range of adversarial multiclass classification problems and presents...
by instadatahelp | Sep 5, 2023 | AI Blogs
Generalization error bounds for multiclass sparse linear classifiers Authors: Tomer Levy, Felix Abramovich; Published in: Journal of Machine Learning Research, 24(151):1−35, 2023. Abstract This study focuses on high-dimensional multiclass classification using sparse...
by instadatahelp | Sep 5, 2023 | AI Blogs
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering Authors: Haizi Yu, Igor Mineyev, Lav R. Varshney; 24(47):1−61, 2023. Abstract This theory paper presents a mathematical formulation for computationally emulating...
by instadatahelp | Sep 5, 2023 | AI Blogs
Selective Inference for K-means Clustering Yiqun T. Chen, Daniela M. Witten; 24(152):1−41, 2023. Abstract We examine the issue of testing for a difference in means between clusters of observations identified through k-means clustering. Traditional hypothesis tests in...
