by instadatahelp | Sep 4, 2023 | AI Blogs
Tree-AMP: Compositional Inference with Tree Approximate Message Passing Antoine Baker, Florent Krzakala, Benjamin Aubin, Lenka Zdeborová; 24(57):1−89, 2023. Abstract The python package Tree-AMP is introduced as a tool for compositional inference in high-dimensional...
by instadatahelp | Sep 4, 2023 | AI Blogs
The content discusses the utilization of Integrated Access and Backhauling (IAB) as a cost-effective alternative to fiber-wired links for achieving higher data rates in future networks. The design of such networks presents optimization challenges due to non-convex and...
by instadatahelp | Sep 4, 2023 | AI Blogs
Improved Complexity for Restarted Nonconvex Accelerated Gradient Descent By Huan Li and Zhouchen Lin; 24(157):1−37, 2023. Abstract This paper focuses on accelerated gradient methods for nonconvex optimization problems with Lipschitz continuous gradient and Hessian. We...
by instadatahelp | Sep 4, 2023 | AI Blogs
We propose an architecture with input-dependent dynamic depth for processing streaming audio, using a vision-inspired keyword spotting framework. This architecture extends a conformer encoder by adding trainable binary gates, which allow the network to dynamically...
by instadatahelp | Sep 4, 2023 | AI Blogs
Topological Convolutional Layers for Deep Learning Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar Carlsson; 24(59):1−35, 2023. Abstract This article presents the Topological CNN (TCNN), a collection of convolutional methods that are defined...
by instadatahelp | Sep 4, 2023 | AI Blogs
Analyzing financial market trends using time series analysis and natural language processing is a complex task due to the multitude of variables that can influence stock prices. These variables include economic and political events, as well as public attitudes. Recent...
