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>Parameterizing the approximate posterior of a generative model with neural networks has become a common theme in recent machine learning research. While providing appealing flexibility, this approach…
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# Keywords
CPC, InfoNCE, Predictive Coding, Negative Sampling
# TL;DR
- Predictive coding과 NCE를 활용하여 여러 도메인에 적용될 수 있는 unsupervised 학습 방법 제시
- 기존 binary 비교 방식의 NCE에서 확장하여 한 입력 데이터 내에서 복수의 negativ…
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hi, I'm trying to use `bash test.sh` to reproduce the results of a paper. But I can't find any declaration about α ,in this function.
[https://github.com/siyuhuang/QuantArt/blob/84d3c83032c03053577…
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Hi. When trying to create 512 dimensional vector representations of some new molecules (that the encoder may not have seen during training), I get the following error
Traceback (most recent call la…
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While generating latent representations for BO, there are a few molecules that are perhaps not in the vocabulary, I get the following error:
`File "gen_latent.py", line 84, in
mol_vec = model.…
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In the DemoFusion pipeline code, they implement the paper's various stages, one of which, of course, is noising the image step by step to produce a set of z' latents:
https://github.com/deroberon/d…
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Thanks for this nice work! I find there may be a bug when we run predict function with a model trained with the one-hot matrix:
```
DI_model = DeepImpute.train(
gene_expression, late…
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Dear Alberto and Mathias,
Is it possible for you to share the code of the paper [1]?
It seems that the current repository only stores the numerical KGs but not the code of embeddings?
Many tha…
ghost updated
2 years ago
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https://doi.org/10.1101/433763
> Recent advances in deep learning, particularly unsupervised approaches, have shown promise for furthering our biological knowledge through their application to gen…
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Hello, I've been learning your code lately, and now I can generate a watermark image randomly according to the prompts, but I want to generate the original image and the watermark image of the exact s…