Course talk:CPSC522/Hyperspherical Variational Auto-Encoders
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Thread title | Replies | Last modified |
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Feedback | 0 | 03:29, 15 February 2023 |
Critique | 0 | 21:43, 13 February 2023 |
Critique | 0 | 23:17, 12 February 2023 |
This is very appropriate for the assignment, and reads very well.
Aside: It seems like the main reason for the hyperspherical space is that there can be a uniform prior (and so avoiding the bunching of the normal. Why not use a uniform on the unit cube? The main difference is that a hyperspherical space wraps around; is that actually exploited? (or Maybe hyperspherical is actually simpler than the cube, as there are no boundary conditions). Or is there something more fundamental?
Overall a good read! I was very uncertain whether it was too dense but it turned out to be quite an interesting read and it was easy to digest.
I like the motivation of the first paper but I feel like Sphere Geometry and von Mises-Fisher Distribution from the background section are better suited to being part of Paper 1.
- The Objective Function is a reiteration, need to make this clear, or just remove the background section.
- There should be references to other sections if it is going to be elaborated. such as "Rejection Sampling"
- I would love to see some results from the Hyperspherical VAES :)
In the second paper "Thus, the use of a S-VAE is proposed instead" seems out of place as S-VAE is already introduced from the reader's perspective.
- The Visualisation should be elaborated, snippets of their results would be really interesting here, as well as a short description of the images/evaluation metrics. Or else the claims seem a bit baseless.
- Batch Effect Correction, Batch Invariance, Clustering Cells, and Inferring Spatial Locations all could've used some tables/images if they were provided as the reader can easily get lost. Right now they just seem a bit irrelevant to the main contributions of the paper. There needs to be a logical sequence that ties these experiments together.
Other than that, I think this is a very interesting application of VAEs, but paper 2 needs some pictures and images or the readers who aren't familiar with the background can be lost (maybe this section is the one that needs a background section?).