Luise, Giulia

10 publications

ICML 2023 Meta Optimal Transport Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko

ICML 2023 On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein

ICLRW 2022 Heterogeneous Manifolds for Curvature-Aware Graph Embedding Francesco Di Giovanni, Giulia Luise, Michael M. Bronstein

AISTATS 2021 Aligning Time Series on Incomparable Spaces Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Deisenroth

NeurIPS 2020 A Non-Asymptotic Analysis for Stein Variational Gradient Descent Anna Korba, Adil Salim, Michael Arbel, Giulia Luise, Arthur Gretton

NeurIPS 2020 Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil

NeurIPS 2020 The Wasserstein Proximal Gradient Algorithm Adil Salim, Anna Korba, Giulia Luise

ICML 2019 Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction Giulia Luise, Dimitrios Stamos, Massimiliano Pontil, Carlo Ciliberto

NeurIPS 2019 Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto

NeurIPS 2018 Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise, Alessandro Rudi, Massimiliano Pontil, Carlo Ciliberto