- living system
- external
- GML
- tipping points
•
•
•
-
Phase Separation — The Animation Lab
-
Generative Modeling by Estimating Gradients of the Data Distribution | Yang Song
This blog post focuses on a promising new direction for generative modeling. We can learn score functions (gradients of log probability density functions) on a large number of noise-perturbed data distributions, then generate samples with Langevin-type sampling. The resulting generative models, often called score-based generative models, has several important advantages over existing model families: GAN-level sample quality without adversarial training, flexible model architectures, exact log-likelihood computation, and inverse problem solving without re-training models. In this blog post, we will show you in more detail the intuition, basic concepts, and potential applications of score-based generative models.
-
The Math of Climate Change Tipping Points | Quanta Magazine
Tipping points in our climate predictions are both wildly dramatic and wildly uncertain. Can mathematicians make them useful?
-
Amazon deforestation linked to reduced Tibetan snows, Antarctic ice loss: Study
Environmental science and conservation news