March 2020 | Theory of Deep Learning Conference
SYNOPSIS
The three-day virtual workshop brought together experts in the broad area of neural networks. Conference themes:
- Analysis and understanding of neural network architectures, loss landscape of neural networks, generative modeling and distribution
- Learning using neural networks, connections of neural networks with more traditional approaches in statistical learning.
The workshop encouraged exchange of ideas, stimulated new research directions, and fostered future collaborations. More here.
CONFERENCE ORGANIZERS
- Rong Ge
Computer Science - Jianfeng Lu
Mathematics, Chemistry, Physics - Sayan Mukherjee
Statistical Science, Computer Science, Mathematics
March 2020 | Quantitative Investigations of Gerrymandering and Redistricting Conference
SYNOPSIS
This conference centered around an event sponsored by the Duke Law school on which featured lawyers involved in the landmark North Carolina Gerrymandering cases. Experts from around the country presented short to medium length talks and discussion ensued to exchange ideas and perspectives. More here.
CONFERENCE ORGANIZERS
- Jonathan Mattingly
Mathematics, Statistical Science - Gregory Herschlag
Mathematics
Interested in learning more about our upcoming conferences? Contact us and we will notify you when new conference details are posted – please include the conference(s) you are interested in. There is no cost to attend our conferences.
