https://github.com/filippomb/filippomb
https://github.com/filippomb/filippomb
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/filippomb/filippomb
- Owner: FilippoMB
- Created: 2024-10-01T09:49:03.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-08-25T13:41:41.000Z (10 months ago)
- Last Synced: 2025-08-25T15:39:50.099Z (10 months ago)
- Size: 5.74 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Hi there 👋
- 🧑🏽🦱 I'm [Filippo Maria Bianchi](https://sites.google.com/view/filippombianchi/home)
- 🇮🇹 I'm Italian, but I live in Norway 🇳🇴
- 👨🏫 I'm a professor at UiT the Arctic University of Norway
- 🔬 I do research in ML for time series and graphs
- 🌍 I also work on remote sensing applications
- 🔓 I mostly work with Python, and I like to open-source all my work
For more information about our latest work, check the [Northernmost Graph Machine Learning Group](https://ngmlgroup.github.io/) page!
---
## 📚 Libraries
[](https://github.com/FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing)
[](https://github.com/tgp-team/torch-geometric-pool)
## 🎓 Courses and tutorials
[](https://github.com/FilippoMB/python-time-series-handbook)
[](https://github.com/FilippoMB/Physics-Informed-Neural-Networks-tutorial)
[](https://github.com/FilippoMB/Diffusion_models_tutorial)
[](https://github.com/FilippoMB/Tutorial_GNN_explainability)
[](https://github.com/FilippoMB/cross-validation-tutorial)
## 📊 Datasets
[](https://github.com/FilippoMB/Benchmark_dataset_for_graph_classification)
## 💻 Papers' code
### Graph Neural Networks
[](https://github.com/FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling)
[](https://github.com/FilippoMB/Simplifying-Clustering-with-Graph-Neural-Networks)
[](https://github.com/FilippoMB/Total-variation-graph-neural-networks)
[](https://github.com/FilippoMB/The-expressive-power-of-pooling-in-GNNs)
[](https://github.com/NGMLGroup/Bayesian-Nonparametric-Graph-Pooling)
[](https://github.com/NGMLGroup/MaxCutPool)
[](https://github.com/FilippoMB/Pyramidal-Reservoir-Graph-Neural-Networks)
[](https://github.com/danielegrattarola/decimation-pooling)
### Time series
[](https://github.com/FilippoMB/Ensemble-Conformalized-Quantile-Regression)
[](https://github.com/FilippoMB/Time-Series-Cluster-Kernel)
[](https://github.com/FilippoMB/Bidirectional-Deep-readout-Echo-State-Network)
[](https://github.com/FilippoMB/Learning-representations-for-multivariate-time-series-with-missing-data)
[](https://github.com/FilippoMB/Deep-Kernelized-Auto-Encoder-with-Time-series-Cluster-Kernel)
### Spatio-temporal GNNs
[](https://github.com/NGMLGroup/Time-Series-Clustering-with-GNNs)
[](https://github.com/NGMLGroup/Koopman-TGNN-Interpretability)
[](https://github.com/marshka/hdtts)
### Other
[](https://github.com/FilippoMB/Recognition-of-polar-lows-in-Sentinel-1-SAR-images-with-deep-learning)
[](https://github.com/FilippoMB/Detecting-and-interpreting-faults-in-vulnerable-power-grids-with-machine-learning)
[](https://github.com/FilippoMB/Variational-Graph-Auto-encoders-Tensorflow-2-Spektral-)
