by instadatahelp | Sep 2, 2023 | AI Blogs
Theoretical Equivalence of Trade-Off Curves for Statistical Proximity Assessment Rodrigue Siry, Ryan Webster, Loic Simon, Julien Rabin; 24(185):1−34, 2023. Abstract The development of quantitative measures to assess the proximity of two probability distributions has...
by instadatahelp | Sep 2, 2023 | AI Blogs
The effectiveness of implicit neural networks in different tasks has been proven. However, there is a need for theoretical analysis to understand the connections and distinctions between implicit and explicit networks. This study focuses on high-dimensional implicit...
by instadatahelp | Sep 2, 2023 | AI Blogs
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition Chengzhuo Ni, Yaqi Duan, Munther Dahleh, Mengdi Wang, Anru R. Zhang; 24(115):1−53, 2023. Abstract This paper presents a novel unsupervised learning approach that...
by instadatahelp | Sep 2, 2023 | AI Blogs
The detection of Extreme Mass Ratio Inspirals (EMRIs) is challenging due to their complex waveforms, long duration, and low signal-to-noise ratio (SNR). This makes them harder to identify compared to compact binary coalescences. While matched filtering techniques are...
by instadatahelp | Sep 2, 2023 | AI Blogs
Learning a Predictive Function for Hyper-parameters Conditioned on Tasks Authors: Jun Shu, Deyu Meng, Zongben Xu; Published in 2023, Volume 24, Issue 186, Pages 1-74. Abstract Recently, meta learning has gained significant attention in the machine learning community....
by instadatahelp | Sep 2, 2023 | AI Blogs
The field of integrated circuits has long struggled with automating the design of analog circuits. This is due to the complexity of circuit specifications and the vast design space. Previous research has mainly focused on automating transistor sizing within a given...