Giulia Luise

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Message Passing

Graph Embedding

Reinforcement Learning

Weather Forecasting

Top Venues

Publications

Asen Nachkov, Luchen Li, Giulia Luise, Filippo Valdettaro, A. Aldo Faisal
Bag of Policies for Distributional Deep Exploration. Epi UAI (2024)
Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko
Meta Optimal Transport. ICML (2023)
Asen Nachkov, Luchen Li, Giulia Luise, Filippo Valdettaro, Aldo A. Faisal
Bag of Policies for Distributional Deep Exploration. CoRR (2023)
Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. ICML (2023)
Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio', Michael M. Bronstein
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. CoRR (2023)
Brandon Amos, Samuel Cohen, Giulia Luise, Ievgen Redko
Meta Optimal Transport. CoRR (2022)
Francesco Di Giovanni, Giulia Luise, Michael M. Bronstein
Heterogeneous manifolds for curvature-aware graph embedding. CoRR (2022)
Ruohan Wang, Marco Ciccone, Giulia Luise, Andrew Yapp, Massimiliano Pontil, Carlo Ciliberto
Schedule-Robust Online Continual Learning. CoRR (2022)
Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Peter Deisenroth
Aligning Time Series on Incomparable Spaces. AISTATS (2021)
Paul Festor, Giulia Luise, Matthieu Komorowski, A. Aldo Faisal
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition. CoRR (2021)
Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning. NeurIPS (2020)
Anna Korba, Adil Salim, Michael Arbel, Giulia Luise, Arthur Gretton
A Non-Asymptotic Analysis for Stein Variational Gradient Descent. CoRR (2020)
Adil Salim, Anna Korba, Giulia Luise
The Wasserstein Proximal Gradient Algorithm. NeurIPS (2020)
Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Peter Deisenroth
Aligning Time Series on Incomparable Spaces. CoRR (2020)
Giulia Luise, Massimiliano Pontil, Carlo Ciliberto
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning. CoRR (2020)
Anna Korba, Adil Salim, Michael Arbel, Giulia Luise, Arthur Gretton
A Non-Asymptotic Analysis for Stein Variational Gradient Descent. NeurIPS (2020)
Giulia Luise, Dimitris Stamos, Massimiliano Pontil, Carlo Ciliberto
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. CoRR (2019)
Giulia Luise, Dimitrios Stamos, Massimiliano Pontil, Carlo Ciliberto
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. ICML (2019)
Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. NeurIPS (2019)
Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. CoRR (2019)
Giulia Luise, Alessandro Rudi, Massimiliano Pontil, Carlo Ciliberto
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance. NeurIPS (2018)
Giulia Luise, Alessandro Rudi, Massimiliano Pontil, Carlo Ciliberto
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance. CoRR (2018)