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STORN has two loss terms: Reconstruction loss and KL-divergence.
Could you please explain the reconstruction loss term:
**recon = torch.sum( x/recon_x - torch.log(x/recon_x) - 1 )**; where x is t…
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**Submitting author:** @omalled (Daniel O'Malley)
**Repository:** https://github.com/OrchardLANL/DPFEHM.jl
**Branch with paper.md** (empty if default branch):
**Version:** v0.1.1
**Editor:** @jed…
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### Feature Description
Training of predefined models with constraints (e.g. bottleneck layers) and additional losses.
### Reason
It is unclear how to use autokeras on models with particular cons…
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Hello, I am very interested in your paper, and I noticed that you've compared with the paper "GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders", can I find the implementatio…
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Hi @ZakiaYahya
Please check that the model is up to date with the new version of the template and all the workflows are in place.
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**Submitting author:** @alawryaguila (Ana Lawry Aguila)
**Repository:** https://github.com/alawryaguila/multi-view-AE
**Branch with paper.md** (empty if default branch): joss
**Version:** v1.0.0
**Edi…
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On CHR 22:
- [x] #12
- [ ] na to expected and na to best guess
- [ ] perform prediction (on height) w. no compression
- [ ] both using standard prediction model and convert to .sped such th…
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figs 21.3 and 21.4 in book 2 (shown below) compare the reconstructon and unconditional sampling abilities of a convolutional AE and VAE. However these figures were generated by https://github.com/…
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## 公告
- 如果你是在校的学生，并且有兴趣参加飞桨社区的远程实习项目，非常欢迎你依据这份材料来申请远程实习：[百度飞桨框架实习计划](https://github.com/PaddlePaddle/community/blob/master/contributors/paddle_contributor_remote_intern_program.pdf)。我们会在3月3日晚上19点，举…
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Chen R T Q, Rubanova Y, Bettencourt J, et al. [Neural ordinary differential equations](https://proceedings.neurips.cc/paper/2018/file/69386f6bb1dfed68692a24c8686939b9-Paper.pdf).