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Giulia Luise
Observed names:
Luise G.,
Luise, G,
Luise, Giulia
Observed institutions:
Microsoft (United States),
University College London,
Imperial College London
OpenAlex ID:
A5000582003
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
2018
·
Luise, Giulia
, Rudi, Alessandro
, et al.
·
arXiv (Cornell University)
·
82
PDF
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
2023
·
Di Giovanni, Francesco
, Giusti, Lorenzo
, et al.
·
arXiv (Cornell University)
·
29
PDF
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
2020
·
Korba, Anna
, Salim, Adil
, et al.
·
arXiv (Cornell University)
·
29
PDF
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning
2020
·
Luca Oneto
, Michele Donini
, et al.
·
neural information processing systems
·
25
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
2019
·
Luise, Giulia
, Salzo, Saverio
, et al.
·
arXiv (Cornell University)
·
18
PDF
Accurate and scalable exchange-correlation with deep learning
2025
·
Luise, Giulia
, Huang, Chin-Wei
, et al.
·
arXiv (Cornell University)
·
11
PDF
Heterogeneous manifolds for curvature-aware graph embedding
2022
·
Di Giovanni, Francesco
, Luise, Giulia
, et al.
·
arXiv (Cornell University)
·
11
PDF
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning
2020
·
Luise, Giulia
, Pontil, Massimiliano
, et al.
·
arXiv (Cornell University)
·
8
PDF
Aligning Time Series on Incomparable Spaces
2020
·
Cohen, Samuel
, Luise, Giulia
, et al.
·
arXiv (Cornell University)
·
8
PDF
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition
2021
·
Festor, Paul
, Luise, Giulia
, et al.
·
arXiv (Cornell University)
·
6
PDF
The Wasserstein Proximal Gradient Algorithm
2020
·
Salim, Adil
, Korba, Anna
, et al.
·
arXiv (Cornell University)
·
6
PDF
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
2019
·
Luise, Giulia
, Stamos, Dimitris
, et al.
·
arXiv (Cornell University)
·
6
PDF
Meta Optimal Transport
2022
·
Amos, Brandon
, Cohen, Samuel
, et al.
·
arXiv (Cornell University)
·
5
PDF
Contraction and regularizing properties of heat flows in metric measure spaces
2020
·
Giulia Luise
, Giuseppe Savaré
·
Discrete and Continuous Dynamical Systems - S
·
5
Schedule-Robust Online Continual Learning
2022
·
Wang, Ruohan
, Ciccone, Marco
, et al.
·
arXiv (Cornell University)
·
2
PDF
Wasserstein Proximal Gradient
2020
·
Adil Salim
, Anna Korba
, et al.
·
King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)
·
1
PDF
MSR-ACC-TAE25_Train
2026
·
Ehlert, Sebastian
, Hermann, Jan
, et al.
·
ColabFit Exchange
MSR-ACC-TAE25_All
2026
·
Ehlert, Sebastian
, Hermann, Jan
, et al.
·
ColabFit Exchange
MSR-ACC-TAE25_Val
2026
·
Ehlert, Sebastian
, Hermann, Jan
, et al.
·
ColabFit Exchange
Bag of Policies for Distributional Deep Exploration
2024
·
Asen Nachkov
, Luchen Li
, et al.
·
Lecture notes in computer science
PDF
Entropic Optimal Transport in Machine Learning: applications to distributional regression, barycentric estimation and probability matching
2021
·
Giulia Luise
·
UCL Discovery (University College London)
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Works count:
23
Citation count:
252
H-index:
8
I10-index:
7
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