Deep Learning Study Group

Deep learning is evolving quickly. Important new developments are appearing daily. This group attempts to keep up by reading and discussing current deep learning literature. This meetup uses discussion among the participants to speed understanding of current research results. That requires that some participants read the paper before attending. Anyone is welcome to attend and listen without reading the paper. If nobody reads the paper the meeting will be short.

Our paper for January 27, 2026 is:
mHC: Manifold-Constrained Hyper-Connections
https://arxiv.org/pdf/2512.24880v1
There are multiple YouTubes including:
https://www.youtube.com/watch?v=jYn_1PpRzxI
Background material: Hyper-Connections
https://arxiv.org/abs/2409.19606

Papers that we're reading, code that participants generate and other random stuff can be found at github site for the group.
https://github.com/davidmacmillan/DeepLearningStudyGroup