Timeline for What does equation in the "related work" section of the GAN paper mean?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 5, 2020 at 9:31 | vote | accept | Bhuwan Bhatt | ||
| Apr 4, 2020 at 13:38 | comment | added | user9947 | arxiv.org/pdf/1312.6114.pdf check this paper section 3, it is similar in purpose according to the author for the aforementioned equation. Especially the text above eqn 9. | |
| Apr 4, 2020 at 13:18 | history | edited | Neil Slater | CC BY-SA 4.0 |
added 477 characters in body
|
| Apr 4, 2020 at 13:17 | comment | added | user9947 | In general GANs probably come under somewhat probabilistic graphical models so I thought it might be the case. But I'll check and let you know if I come across something concrete. | |
| Apr 4, 2020 at 13:13 | comment | added | Neil Slater | @DuttaA: Actually I am not sure, it depends on the form of second argument $\mathcal{N}$, which I am assuming will just take a vector of variances for independent vector components here, but you are right it could also support some forms of covariance in general, and we'd want an identity matrix instead to make the variables independent. Do you have a reference to the common assumptions of that function? | |
| Apr 4, 2020 at 12:51 | comment | added | user9947 | Are you sure about $I$ being $[1,1,...]$ though? In general we know it stands for identity vector and I think this notation is especially important to show that the variables are independent which results in covariance being 0 | |
| Apr 4, 2020 at 11:19 | history | edited | Neil Slater | CC BY-SA 4.0 |
added 726 characters in body
|
| Apr 4, 2020 at 11:13 | history | answered | Neil Slater | CC BY-SA 4.0 |