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## Abstract
#### Problem
- GAN has considerable success in generating real-valued data. **However, it has limitations when the goal is for generating sequences of discrete tokens.**
1. the discre…
hon9g updated
5 years ago
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This new paper might be relevant:
[SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss](https://arxiv.org/abs/2109.15044) by Konstanti…
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Generative functions may have state, which is their trainable parameters, and any gradient accumulation state for those parameters. This state is not managed by Gen.
This has not been a major issue…
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This came from : https://github.com/stan-dev/stan/wiki/Stan-Best-Practices/
It should be included in the user's guide in some form merged with what's there now about Stan progams as software.
On…
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Get an idea of the different flavours of scaling-law works that are out there. Any work that tries to estimate the optimal scale of model and dataset size, with regards to a certain metric (PPL, or ot…
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Alessandro Palma asked:
> Since I am dealing with generative modeling, I am mostly using the CytoGAN paper as a reference, together with other publications employing the dataset.
> I also tried to…
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Potential readings to focus understanding on probability, mathematical statistics, algorithms, etc more deeply. Talk of applications will be secondary.
- [Statistical modeling: the two cultures](ht…
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I found interesting approach in paper "The Synthetic Data Vault: Generative Modeling for Relational Databases". It seems like there are no implementations in popular libs.
Steps:
1. Sort the categ…
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Hi,
It is just a naive idea. According to the paper, you describe that scATAC-seq has the issue of "missingness" like the dropout in scRNA-seq data. So what if using a zero-inflated Bernoulli to char…
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Hi,
I wanted to ask if you would consider adding some of your literature to the [awesome-notmalizing-flows](https://github.com/janosh/awesome-normalizing-flows) repo? It is getting quite extensive…