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outline_writer.py
```
def chunking(self, papers, titles, chunk_size = 14000):
paper_chunks, title_chunks = [], []
...
paper_chunks.append(papers[start:])
title_ch…
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Environmental extremes such as floods, heat waves, storms etc. are a very "hot" topic at the moment. There is a lot of interest from people in climate change but also a lot of interesting maths (extre…
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### Model/Pipeline/Scheduler description
The generative priors of pre-trained latent diffusion models have demonstrated great potential to enhance the perceptual quality of image super-resolution (SR…
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Some of the input time series happen to have the same value for all months of the year, so their behavior is not consistent with a stochastic process and therefore it cannot be modeled as such:
![…
Liedo updated
6 years ago
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Following AJPH 2016, add support for continuous treatments. Can verify against the simulated data (and R's results)
Looks like it might be a valuable time to add stochastic treatments. This would a…
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Here are ten unsolved problems in algorithmic trading framed within a pure mathematics context:
1. **Optimal Execution Problem**: Finding a universally optimal strategy for executing large orders t…
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When defining the emission spectrum (or re-emission in the case of WLS materials) as a function of the wavelength, Ratpac uses the spectrum defined in the RATDB file, but it converts the wavelength to…
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### 🐛 Describe the bug
I seem to have found an issue that can occur when destroying the default process group and attempting to reinitialize it immediately after. This can lead to a race condition …
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### What is the issue?
I am new to Ollama and have noticed that when I ask a query using Ollama, the model's responses are quite poor. However, if I ask the same query using https://www.llama2.ai/, I…
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The proposal is to insert the Nowcasting Model PhaSt in the pySTEPS package.
PhaSt (phase-diffusion model for stochastic nowcasting) is a stochastic nowcasting model that uses as input the most rece…