![Physics-Informed Neural Networks for Determining Constitutive Parameters in Complex Hyperelastic Solids (arXiv:2308.15640v1 [cond-mat.mtrl-sci])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Aug 31, 2023 | AI Blogs
The identification of constitutive parameters in engineering and biological materials, especially those with complex geometries and mechanical behaviors, has long been a challenge. The emergence of Physics-Informed Neural Networks (PINNs) has provided promising...
by instadatahelp | Aug 31, 2023 | AI Blogs
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity Authors: Ali Kara, Naci Saldi, Serdar Yüksel; Volume 24, Issue 199, Pages 1-34, 2023. Abstract This paper explores the applicability of reinforcement...
by instadatahelp | Aug 31, 2023 | AI Blogs
Artificial Intelligence has experienced a surge in interest in the last decade, largely due to the advancements in Deep Learning. Deep learning researchers have achieved great success in image processing through the use of Convolutional Neural Networks (CNNs)....
by instadatahelp | Aug 31, 2023 | AI Blogs
Impact of Classification Difficulty on the Spectra of Weight Matrices in Deep Learning and its Application to Early Stopping Xuran Meng, Jeff Yao; 24(28):1−40, 2023. Abstract Recent research has focused on understanding the success of deep learning. Random Matrix...
by instadatahelp | Aug 31, 2023 | AI Blogs
[Submitted on 29 Aug 2023] Authors:Anirudh Choudhary, Angelina Hwang, Jacob Kechter, Krishnakant Saboo, Blake Bordeaux, Puneet Bhullar, Nneka Comfere, David DiCaudo, Steven Nelson, Emma Johnson, Leah Swanson, Dennis Murphree, Aaron Mangold, Ravishankar K. Iyer...
by instadatahelp | Aug 31, 2023 | AI Blogs
Model-based Causal Discovery for Zero-Inflated Count Data Junsouk Choi, Yang Ni; 24(200):1−32, 2023. Abstract Zero-inflated count data are common in various scientific fields, including social science, biology, and genomics. However, few causal discovery approaches...
by instadatahelp | Aug 31, 2023 | AI Blogs
Graph neural networks (GNNs) have been widely used in various applications such as social networks, recommendation systems, and online web services. However, GNNs are susceptible to adversarial attacks, which can significantly reduce their effectiveness. Previous...
by CampusX | Aug 31, 2023 | Educational Videos
The Videos are copyrighted to YouTube and the author. The videos are reproduced here for the easy access by the viewers. In this video, we will start our discussion around CNN. CNNs are one of the most popular neural network architectures. CNNs are used extensively in...
by instadatahelp | Aug 31, 2023 | AI Blogs
A Geometric Approach to Sparse PCA Dimitris Bertsimas, Driss Lahlou Kitane; 24(32):1−33, 2023. Abstract This paper presents a novel algorithm called GeoSPCA for solving the problem of maximizing the variance explained from a data matrix using orthogonal sparse...
by instadatahelp | Aug 31, 2023 | AI Blogs
Variational flows have been successful in learning complex continuous distributions, but there is still a challenge in approximating discrete distributions. Current methods often involve embedding the discrete target in a continuous space, but this approach has...
