Comments (6)
Hi, thanks for your interest!
Sorry, I forgot to upload this file. I have uploaded the file "traverse_latent_space_vae.py" now, which is slightly modified from "traverse_latent_space.py" by changing the generator from GANs to VAEs.
There might be small mistakes about the names of variables (I changed some of them to improve the readability but I might not inspect the inconsistency that may happen somewhere). Please let me know if you have any issues.
BTW, if you focus on VAEs, I would suggest you kindly check out our another NeurIPS paper, which proposes novel understandings of equivariance and disentanglement by exploring supervised and weakly-supervised settings.
from pdetraversal.
Hello, thank you for your response. Your other work is equally intriguing to me, and I will read it as soon as possible!
While comparing traverse_latent_space_vae.py and traverse_latent_space.py, I noticed the following:
In the line of code:
energy, shift = S.inference(dim, w if args_json.dict["shift_in_w_space"] else z, (step+1) * torch.ones(1, 1, requires_grad=True), G)
Both 'step+1' and 'step' are used in this step. Could you please clarify which version is correct?
Thank you!
from pdetraversal.
Thanks for the correction! It should be 'step' in this work.
from pdetraversal.
Hi ,Your method is great, and I've conducted some experiments using your approach.
I noticed that in traverse_latent_space.py there isn't a negative direction. I added the negative direction in a new branch, but I'm not sure if it's theoretically correct.
Additionally, I'm working on research related to chromosome curvature disentanglement representation. However, I noticed in your paper that you mentioned, "since the curl of the gradient is known to be zero, potential flows are inherently irrotational and thus cannot model vorticity." Would it be possible for us to discuss this matter via email or another means?
from pdetraversal.
Thanks! for your contribution and effort! Actually I wrote the two-direction traversal version in traverse_latent_space_twosides.py. Please check if it is consistent with your version.
I do not have chromosome background but this application seems very interesting to me! The explanation of curl of the gradient usually suits the non-symmetric convention of latent traversal works, but maybe it can be extended to symmetric traversal. Feel free to drop me an email to [email protected] or [email protected]
from pdetraversal.
Oh! Thank you for your reply. Yes, I missed that file, and it matches mine.
Thanks for providing your email address!Hope to have a nice email conversation with you.
from pdetraversal.
Related Issues (3)
- checkpoint HOT 2
- Where is checkpoint.pt? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pdetraversal.