Computational & statistical learning
Our aim is to advance the frontiers of learning theory and machine learning, while building algorithmic tools for the analysis of complex systems and high dimensional data.
Research
Research Units
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Computational Harmonic Analysis & Machine Learning
Our scientific interests focus on harmonic analysis, inverse problems, PDE and machine learning.
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Machine Learning & Vision
We investigate different nuances of visual perception in artificial intelligence systems, where computer vision and machine learning are combined to obtain robust data-driven methods addressing a variety of problems.
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Physics informed Machine Learning for biological Behavior
We blend physics with machine learning and biological behavior to ask how organisms strive in a fluid environment dominated by uncertainty.
Grants
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8
Ongoing grants
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53
Ended grants
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10 M+
Research Fundings in the past 5yrs
Publications
Most recent publications
| Title | Year | Author | Venue |
|---|---|---|---|
| Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods | 2024 | PD Alfano VP Pastore L Rosasco F Odone | Image and Vision Computing, 2023 |
| Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems | 2024 | GS Alberti L Ratti M Santacesaria S Sciutto | arXiv preprint |
| Reconstitution of ORP-mediated lipid exchange coupled to PI4P metabolism | 2024 | N Fuggetta N Rigolli M Magdeleine A Hamaï A Seminara G Drin | Proc Natl Acad Sci U S A. 2024 Mar 5 |
| Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis | 2024 | A Maracani R Camoriano E Maiettini D Talon L Rosasco L Natale | arXiv preprint |
| Computer vision and deep learning meet plankton: Milestones and future directions | 2024 | M Ciranni V Murino F Odone VP Pastore | Image and Vision Computing, 2024 |
| Localization of point scatterers via sparse optimization on measures | 2024 | GS Alberti R Petit M Santacesaria | arXiv preprint |
| RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning | 2024 | F Ceola L Rosasco L Natale | arXiv preprint |
| Anomaly detection in feature space for detecting changes in phytoplankton populations | 2024 | M Ciranni F Odone VP Pastore | Frontiers in Marine Science, 05 January 2024\nSec. Marine Ecosystem Ecology \nVolume 10 - 2023 |
| Introducing Temporal Correlation in Rainfall and Wind Prediction From Underwater Noise | 2023 | A Trucco A Barla R Bozzano S Pensieri A Verri David Solarna | IEEE JOURNAL OF OCEANIC ENGINEERING |
| The Janus effects of SGD vs GD: high noise and low rank | 2023 | Mengjia Xu Tomer Galanti Akshay Rangamani Lorenzo Rosasco Tomaso Poggio | CBMM Memo; 144 |