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.

Paper for June 30:
DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
https://arxiv.org/pdf/2506.14202
Blog:
https://sakana.ai/diffusion-blocks/
GitHub:
https://github.com/SakanaAI/DiffusionBlocks

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