Publications
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On the Regularization of Learnable Embeddings for Time Series Processing
Luca Butera, Giovanni De Felice, Andrea Cini, Cesare AlippiarXiv
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observation
Giovanni De Felice, Andrea Cini, Daniele Zambon, Vladimir Gusev, Cesare AlippiICLR 2024
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 Dicovery
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
Mu2e run I sensitivity projections for the neutrinoless μ−→ e− conversion search in aluminum
Mu2e CollaborationUniverse
*Equal contribution.