You are here |
yuanming.taichi.graphics | ||
| | | |
fluxml.ai
|
|
| | | | The elegant machine learning library | |
| | | |
tiao.io
|
|
| | | | We propose a framework that lifts the capabilities of graph convolutional networks (GCNs) to scenarios where no input graph is given and increases their robustness to adversarial attacks. We formulate a joint probabilistic model that considers a prior distribution over graphs along with a GCN-based likelihood and develop a stochastic variational inference algorithm to estimate the graph posterior and the GCN parameters jointly. To address the problem of propagating gradients through latent variables draw... | |
| | | |
distill.pub
|
|
| | | | Training an end-to-end differentiable, self-organising cellular automata model of morphogenesis, able to both grow and regenerate specific patterns. | |
| | | |
www.singlestore.com
|
|
| | This article focuses on how generative AI helps you analyze and improve in-house data. We'll cover automated data analysis, data augmentation, prototyping and testing, automated content creation and anomaly detection. |