Geometry, Algebra and Physics in Deep Neural Networks (GAPinDNNs)

We explore the interface of Geometry, Algebra, and Physics with Deep Neural Networks. Specifically, we use techniques and ideas from pure mathematics and theoretical physics to develop the foundations of deep learning and deep neural networks.

You can read more about our research on our external website.

Seminar

We organise the seminar in Geometry, Algebra and Physics in Deep Neural Networks (GAPinDNNs).