Timeline for Prospects for deep learning of non-lattice sphere packings
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 14, 2019 at 17:50 | vote | accept | Archie | ||
| Sep 14, 2019 at 15:18 | answer | added | Henry Cohn | timeline score: 7 | |
| Sep 13, 2019 at 17:06 | comment | added | Archie | Precisely the enumeration I mentionned, and the known optimal packings in dimension 8 and 24. A neural network that converges fast in all those dimensions must be doing something right, and its proposed solutions in other dimension worth looking at : in fact, we'd readily see if those beat the record holders or not. | |
| Sep 13, 2019 at 7:04 | comment | added | quarague | Sphere packing to me is an optimization problem. What should be the training data for a neural network? | |
| Sep 12, 2019 at 19:46 | history | asked | Archie | CC BY-SA 4.0 |