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I went deep through the rabbit hole of uncertainty quantification in forecasting of neural networks. A faster method of quantifying uncertainty than what was proposed by [Lapeyrolerie et al, 2022](htt…
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Bring back support for a neural network heuristic.
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Does anyone have any ideas? I could develop any special features, but not this year.
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# Neural networks from scratch
It's very difficult to understand what a neural network is without coding one. We're gonna do that here.
## Learning objectives
## Content to cover
## Capsto…
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### Exploring How Music Shapes Emotions in the Brain. A network connectivity analysis perspective on fMRI data.
### Leaders
Matteo Lionello @mlionello
### Collaborators
_No response_
…
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[Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification](https://ieeexplore.ieee.org/abstract/document/10191340/)
```bib
@inproceedings{xiao2023enhanced,
title={Enhanced Los…
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# Convolutional neural networks for solving PDEs | Arthur Bauville
Writing an iterative multigrid PDE solver as a convolutional neural network
[https://abauville.github.io/blog/neural%20networks/202…
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WDYT? Is this publication in scope?
```
@article{Kr_ek_2024,
author = {Krček, Marina and Wu, Lichao and Perin, Guilherme and Picek, Stjepan},
doi = {10.3390/math12203279},
issn = {2227-7390},
jour…
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Neural Networks are powerful but can they count people? Find possible architectures with a few experiments. There are already solutions to count people using object detectors to get bounding boxes and…
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Dear authors,
thanks for sharing this repo. May I ask how you get the matched pair and get the difference between pair of mols in the paper "Quantitative Evaluation of Explainable Graph Neural Netwo…
wjxts updated
4 weeks ago