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# 🚀 Feature Request: Batch method for non-analytic acquisition functions when using fully-Bayesian GPRs
A batch method for non-analytic acquisition functions when using fully-Bayesian treated GPRs.…
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After reading the unsupervised part of the paper, I can not figure out what exactly the structures of unsupervised part is.
By the way, thanks very much for your replementation of FCSN ans VSULD, I…
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### Description
If you want to help implementing some of these Ops just leave a comment below saying which ones you are interested in. We'll give you some time to work on it (and then put it back u…
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作者您好,我理解deit_dge.py中,应该是使用了 Dynamic Grained Encoder。但是在代码dge.py中,sparse_train默认是false,并且这个参数在DynamicGrainedEncoder初始化的时候也没改,那么训练的时候走的是这个循环吗?
https://github.com/StevenGrove/vtpack/blob/38d5af0c3d91811…
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Hi, thanks for your wonderful work!
I'd like to ask how to implement the Gumbel softmax in Tselector for T-selector's training.( in this code)
![image](https://github.com/user-attachments/assets/e66…
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In the file models/lgmrec.py line 118, why assign the gumble_softmax value of ut_hyper to uv_hyper?
The source code is ```uv_hyper = F.gumbel_softmax(ut_hyper, self.tau, dim=1, hard=False)```.
I…
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Really interesting work! I'm trying to test the effectiveness of PRIOR's report reconstruction on some clinical data, and I'm wondering if there's an efficient way to run inference without making sign…
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Hi, what does the latent_dim mean in your code? Could it be changed to other numbers? I can understand that categorical_dim means 10 categories for 10 digits, but I'm confused about the latent_dim. Th…
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Hello~ I recently read your brilliant paper, but confused anout BP problem mentioned in the introduction:
`Moreover, this would also hinder the back-propagation for the prediction module, which need…
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May I know why [this training code](https://colab.research.google.com/drive/1v5wY22CkyvKPz21tdwSMPv0T3fsIro0D?usp=sharing#scrollTo=6qJRPd9-sEdK) still gives CUDA-out-of-memory issue even after DeepSpe…