The introduction of the transformer architecture and the self-attention
...
Recent advances in spatial omics methods enable the molecular compositio...
Deep neural networks achieve human-like performance on a variety of
perc...
Sequencing costs currently prohibit the application of single cell mRNA-...
Machine learning problems have an intrinsic geometric structure as centr...
The control of far-from-equilibrium physical systems, including active
m...
The geometry of weight spaces and functional manifolds of neural network...
Living neural networks in our brains autonomously self-organize into lar...
Biological neural networks have evolved to maintain performance despite
...
Living neural networks emerge through a process of growth and
self-organ...
Complex networks can be modeled as a probabilistic graphical model, wher...