Differentiable SDE Machine Learning: A Simple Explanation
Stochastic Differential Equations (SDEs) provide a robust framework for modeling dynamic systems, a key component in many modern simulations. Researchers at MIT are increasingly leveraging these models to tackle complex problems, often with the support of tools like PyTorch for automatic differentiation. This has significantly accelerated the field of differentiable SDE machine learning, allowing for […]