Publications
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Causally Reliable Concept Bottleneck Models
Giovanni De Felice*, Arianna Casanova*, Francesco De Santis*, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto TerminearXiv
On the Regularization of Learnable Embeddings for Time Series Forecasting
Luca Butera, Giovanni De Felice, Andrea Cini, Cesare AlippiTMLR
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observation
Giovanni De Felice, Andrea Cini, Daniele Zambon, Vladimir Gusev, Cesare AlippiICLR 2024
Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings
Giovanni De Felice, John Goulermas, Vladimir GusevNeurIPS 2023
Spatio-Temporal Weathering Predictions in the Sparse Data Regime with Gaussian Processes
Giovanni De Felice, Vladimir Gusev, John Goulermas, Michael Gaultois, Matthew Rosseinsky, Catherine Vincent GauvinAI4Science NeurIPS 2022
Investigating extrapolation and low-data challenges via contrastive learning of chemical compositions
Federico Ottomano, Giovanni De Felice, Rahul Savani, Vladimir Gusev, Vladimir Gusev, Matthew RosseinskyAI4Mat NeurIPS 2023
Not as simple as we thought: A rigorous examination of data aggregation in materials informatics
Federico Ottomano*, Giovanni De Felice*, Vladimir Gusev, Taylor SparksDigital Discovery
Mu2e run I sensitivity projections for the neutrinoless μ−→ e− conversion search in aluminum
Mu2e CollaborationUniverse
*Equal contribution.