- 🧑🏽🦱 I'm Filippo Maria Bianchi
- 🇮🇹 I'm Italian but I live in Norway 🇳🇴
- 👨🏫 I'm an associate 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 try to open-source all my work
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UiT the Arctic University of Norway
- Tromsø
- https://sites.google.com/view/filippombianchi/home
- https://orcid.org/0000-0002-7145-3846
- in/filippo-maria-bianchi
- @FilippoMariaBi1
Highlights
- Pro
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python-time-series-handbook
python-time-series-handbook PublicMaterial for the course "Time series analysis with Python"
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Time-series-classification-and-clustering-with-Reservoir-Computing
Time-series-classification-and-clustering-with-Reservoir-Computing PublicLibrary for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
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Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling PublicExperimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
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Ensemble-Conformalized-Quantile-Regression
Ensemble-Conformalized-Quantile-Regression PublicValid and adaptive prediction intervals for probabilistic time series forecasting
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Benchmark_dataset_for_graph_classification
Benchmark_dataset_for_graph_classification PublicThis repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
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Total-variation-graph-neural-networks
Total-variation-graph-neural-networks PublicPytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
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