During embryonic development, groups of cells reorganize into functional tissues with complex form and structure. Tissue reorganization can be rapid and dramatic, often occurring through striking embryo-scale flows that are […]
Effective theories play a fundamental role in how we reason about the world. Although real physical processes are very complicated, useful models abstract away the irrelevant degrees of freedom to […]
The intersection of dynamical systems and networks are used to model a huge variety of phenomena such as the spread of disease, multi-agent systems, opinions in social networks, and more. […]
We propose a simple and scalable approach to causal representation learning for multitask learning. Our approach requires minimal modification to existing ML systems, and improves robustness to prior probability shift. […]
