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The intricate tapestry of music composition, a complex interplay of artistic expression and technical expertise, has long been considered an exclusive domain of human creativity. However, the rise of…
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Appetizer for 3D, Neural rendering with GAN, GIRAFFE, CVPR2021 best paper
- https://a…
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[The format of the issue]
Paper name/title:
Project link:
Paper link:
Code link:
amusi updated
4 weeks ago
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I'm working on my MSc thesis (https://github.com/ErikBjare/thesis) and I am investigating the possibility for training models on public datasets and then using the learned model to train for a differe…
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Hi SAGE developers,
I’m reading a paper published in 2022 called _Variational autoencoders learn transferrable representations of metabolomics data_ that uses SAGE software. I’m trying to understa…
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**Proceedings**
https://papers.nips.cc/book/advances-in-neural-information-processing-systems-30-2017
https://github.com/catpanda/NIPS_2017
**PaperLists (#Papers 679)**
https://www.dropbox.com/s…
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**Submitting author:** @mrazomej (Manuel Razo-Mejia)
**Repository:** https://github.com/mrazomej/AutoEncoderToolkit.jl
**Branch with paper.md** (empty if default branch): publication
**Version:** v0.1…
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Hi,
Thanks for your amazing work.
I'm one of the authors of the ECCV 2024 paper, SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders.
We have…
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Please close this if it is inappropriate
It seems that benchmarking of [RNN/LSTM](https://www.youtube.com/watch?v=56TYLaQN4N8) is a worthwhile thing to do now as these things are getting amazing resu…
ghost updated
9 years ago
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Train a separate model specifically for the task of inverse modeling, where the goal is to infer the previous state and rule from a given state or sequence of states. This model would essentially lear…