Giulia Denevi

Iterative algorithms for a non-linear inverse problem in atmospheric lidar

A. Sorrentino, S. Garbarino, Giulia Denevi, 2017, 1706.06050.

Learning-to-Learn Stochastic Gradient Descent with Biased Regularization pdf

Massimiliano Pontil, Carlo Ciliberto, Riccardo Grazzi, 2019, ICML.

The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning pdf

Massimiliano Pontil, Carlo Ciliberto, Giulia Denevi, 2020, NeurIPS.

Learning To Learn Around A Common Mean

Massimiliano Pontil, Carlo Ciliberto, Dimitris Stamos, 2018, NeurIPS.

Incremental Learning-to-Learn with Statistical Guarantees pdf

Massimiliano Pontil, Carlo Ciliberto, Dimitris Stamos, 2018, UAI.

Incremental Automatic Image Annotation

L. Sabetta, Giulia Denevi, Francesco Pelosin, 2023 .