439 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of BergenNO13 papers
- University of StavangerNO7 papers
- UiT The Arctic University of NorwayNO6 papers
- Heriot-Watt UniversityGB4 papers
- Baker Hughes (Norway)NO2 papers
- Chinese Academy of SciencesCN2 papers
- Delft University of TechnologyNL2 papers
- Hasselt UniversityBE2 papers
- Institute of MechanicsBG2 papers
- Stanford UniversityUS2 papers
- Università della Svizzera italianaCH2 papers
- University of AgderNO2 papers
9 papers · 1 filter
High-Precision Geosteering via Reinforcement Learning and Particle Filters
Ressi Bonti Muhammad, Apoorv Srivastava, Sergey Alyaev +2
Geosteering, a key component of drilling operations, traditionally involves manual interpretation of various data sources such as well-log data. This introduces subjective biases a…
Explainability in subgraphs-enhanced Graph Neural Networks
Michele Guerra, Indro Spinelli, Simone Scardapane +1
Recently, subgraphs-enhanced Graph Neural Networks (SGNNs) have been introduced to enhance the expressive power of Graph Neural Networks (GNNs), which was proved to be not higher t…
Simplifying Clustering with Graph Neural Networks
Filippo Maria Bianchi
The objective functions used in spectral clustering are usually composed of two terms: i) a term that minimizes the local quadratic variation of the cluster assignments on the grap…
Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup
Hasan Asyari Arief, Peter James Thomas, Tomasz Wiktorski
Generalizing the application of machine learning models to situations where the statistical distribution of training and test data are different has been a complex problem. Our con…
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting
Vilde Jensen, Filippo Maria Bianchi, Stian Norman Anfinsen
This paper presents a novel probabilistic forecasting method called ensemble conformalized quantile regression (EnCQR). EnCQR constructs distribution-free and approximately margina…
Power Flow Balancing with Decentralized Graph Neural Networks
Jonas Berg Hansen, Stian Normann Anfinsen, Filippo Maria Bianchi
We propose an end-to-end framework based on a Graph Neural Network (GNN) to balance the power flows in energy grids. The balancing is framed as a supervised vertex regression task,…
Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi +4
Image translation with convolutional neural networks has recently been used as an approach to multimodal change detection. Existing approaches train the networks by exploiting supe…
Spectral Clustering with Graph Neural Networks for Graph Pooling
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
Spectral clustering (SC) is a popular clustering technique to find strongly connected communities on a graph. SC can be used in Graph Neural Networks (GNNs) to implement pooling op…
Graph Neural Networks with convolutional ARMA filters
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi +1
Popular graph neural networks implement convolution operations on graphs based on polynomial spectral filters. In this paper, we propose a novel graph convolutional layer inspired…