TBA
To be announced
Details coming soon
A focused workshop on theory-driven understanding of deep learning: generalization, optimization, approximation, representation learning, and operator learning.
Deep learning works extremely well, yet core questions remain open. This workshop brings together researchers to discuss theory that explains and guides practice.
Invited talks + contributed posters/short talks.
More speakers will be announced soon.
CMT opens (if accepting submissions)
Submission deadline (optional)
Notification
Workshop day
| Time | Session | Description |
|---|---|---|
| 09:00–09:10 | Opening | Welcome and introduction |
| 09:10–09:40 | Invited Talk 1 | Invited talk (25 mins Pre + 5 mins Q&A) |
| 09:40–10:10 | Invited Talk 2 | Invited talk (25 mins Pre + 5 mins Q&A) |
| 10:10–10:40 | Regular Paper | 2 regular papers (15 mins each) |
| 10:40–11:00 | Coffee Break | poster presentations and informal discussion |
| 11:00–11:30 | Invited Talk 3 | Invited talk (25 mins Pre + 5 mins Q&A) |
| 11:30–12:00 | Invited Talk 4 | Invited talk (25 mins Pre + 5 mins Q&A) |
| 12:00-12:30 | Regular Paper | 2 regular papers (15 mins each) |
| 12:30-12:40 | Closing | Wrap-up |
| 12:40-13:00 | Free discussion | poster presentations and informal discussion |
Email: shuo.huang@iit.it