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hi,大家好,非常高兴的告诉大家,百度飞桨论文复现赛第七期已经开始了,本次论文复现赛共将有100+篇的经典&前沿论文供大家复现。同时飞桨特色模型挑战赛持续展开,详细信息可以参考[AI Studio 链接](https://aistudio.baidu.com/aistudio/competition/detail/406/0/introduction),大家是否已经迫不及待了呢~
为了帮助大…
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hi,大家好,非常高兴的告诉大家,百度飞桨论文复现赛第六期已经开始了,本次**论文复现赛**共将有100+篇的经典&前沿论文供大家复现,以及新增了**飞桨特色模型挑战赛**,详细信息可以参考[AI Studio](https://aistudio.baidu.com/aistudio/competition/detail/205/0/introduction),大家是否已经迫不及待了呢~
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In the paper, there are two networks, injective and bijective.
It seems that this repo only includes the bijective network.
Is that right?
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Song Y, Ermon S. [Generative modeling by estimating gradients of the data distribution](https://proceedings.neurips.cc/paper/2019/file/3001ef257407d5a371a96dcd947c7d93-Paper.pdf).
Yang Song. [Generat…
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meigel 11:46 AM
pls check
http://proceedings.mlr.press/v84/izmailov18a.html
PMLRPMLR
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
We propose a …
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Example: https://mila.quebec/en/publications/
It would be nice to reuse the same code as in the Mila website. Not sure if that's 'easily' possible via RTD
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Goodfellow I, et. al. [Generative adversarial nets](https://proceedings.neurips.cc/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf).
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Currently, computing the log absolute determinant of the Jacobian (LADJ) is achieved via an explicit inversion of the flow result (say y) onto the input domain (say x). The gradient of the LADJ is use…
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**Submitting author:** @silvandeleemput (Sil C. van de Leemput)
**Repository:** https://github.com/silvandeleemput/memcnn
**Version:** 0.3.3
**Editor:** @terrytangyuan
**Reviewer:** @GregaVrbancic, @s…
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*The following peer review was solicited as part of the Distill review process. The review was formatted by the editor to help with readability.*
*The reviewer chose to keep anonymity. Distill offe…