| 08:15 - 08:30 | Opening Remarks | |
| Invited Talks | ||
| 08:30 - 09:00 | Learning dynamics describe the computational role of (universal) representations | Erin Grant |
| 09:00 - 09:30 | Interpretable Theories for Comparing Biological and Artificial Neural Networks | SueYeon Chung |
| 09:30 - 10:00 | The Platonic Representation Hypothesis | Phillip Isola |
| 10:00 - 10:30 | Coffee Break | |
| 10:30 - 11:45 | Contributed Talks | |
| 11:45 - 12:30 | Panel Discussion with Matthew Leavitt, Erin Grant and Alex H Williams | |
| 12:45 - 14:00 | Lunch | |
| Invited Talks | ||
| 14:00 - 14:30 | On Using Optimal Transport Distances to Regularize Representation Learning | Marco Cuturi |
| 14:30 - 15:00 | Open Problems in Universality: A mechanistic interpretability perspective | Neel Nanda |
| 15:00 - 15:30 | Parameter Symmetries in Neural Networks: what they affect and what to do with them | Stefanie Jegelka |
| 15:30 - 15:45 | Awards ceremony and closing remarks | |
| 15:45 - 17:00 | Poster Session |
The workshop will also offer a mentorship program which will take place during our coffee breaks and lunch, along with casual discussions. This time will serve as an opportunity to conduct research discussions, engage in informal conversations, and introduce a new round tables mentoring initiative for junior and senior researchers. Participants can sign up through this form, and we will actively reach out to senior researchers in the community to serve as mentors.