Follow
Valentina Zantedeschi
Valentina Zantedeschi
Sr Research Scientist at ServiceNow
Verified email at servicenow.com - Homepage
Title
Cited by
Cited by
Year
Adversarial Robustness Toolbox v1. 0.0
MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ...
arXiv preprint arXiv:1807.01069, 2018
4052018
Efficient defenses against adversarial attacks
V Zantedeschi, MI Nicolae, A Rawat
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017
2872017
Fully decentralized joint learning of personalized models and collaboration graphs
V Zantedeschi, A Bellet, M Tommasi
International Conference on Artificial Intelligence and Statistics, 864-874, 2020
572020
Learning binary decision trees by argmin differentiation
V Zantedeschi, M Kusner, V Niculae
International Conference on Machine Learning, 12298-12309, 2021
16*2021
Cumulo: A Dataset for Learning Cloud Classes
V Zantedeschi, F Falasca, A Douglas, R Strange, MJ Kusner, ...
Tackling Climate Change with Machine Learning, NeurIPS 2019 Workshop, 2019
162019
Insights from an autism imaging biomarker challenge: promises and threats to biomarker discovery
N Traut, K Heuer, G Lemaître, A Beggiato, D Germanaud, M Elmaleh, ...
NeuroImage 255, 119171, 2022
152022
Metric learning as convex combinations of local models with generalization guarantees
V Zantedeschi, R Emonet, M Sebban
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
142016
Rainbench: Towards data-driven global precipitation forecasting from satellite imagery
CS de Witt, C Tong, V Zantedeschi, D De Martini, A Kalaitzis, M Chantry, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14902 …, 2021
10*2021
Fast and provably effective multi-view classification with landmark-based svm
V Zantedeschi, R Emonet, M Sebban
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
82019
RaVÆn: unsupervised change detection of extreme events using ML on-board satellites
V Růžička, A Vaughan, D De Martini, J Fulton, V Salvatelli, C Bridges, ...
Scientific reports 12 (1), 16939, 2022
7*2022
Learning stochastic majority votes by minimizing a PAC-Bayes generalization bound
V Zantedeschi, P Viallard, E Morvant, R Emonet, A Habrard, P Germain, ...
Advances in Neural Information Processing Systems 34, 455-467, 2021
72021
Beta-risk: a new surrogate risk for learning from weakly labeled data
V Zantedeschi, R Emonet, M Sebban
Advances in Neural Information Processing Systems 29, 2016
62016
DAG learning on the permutahedron
V Zantedeschi, L Franceschi, J Kaddour, MJ Kusner, V Niculae
ICLR, 2023
42023
Towards data-driven physics-informed global precipitation forecasting from satellite imagery
V Zantedeschi, D De Martini, C Tong, CS de Witt, A Kalaitzis, M Chantry, ...
Proceedings of the AI for Earth Sciences Workshop at NeurIPS, 2020
42020
On margins and generalisation for voting classifiers
F Biggs, V Zantedeschi, B Guedj
Advances in Neural Information Processing Systems 35, 2022
32022
Landmark-based ensemble learning with random Fourier features and gradient boosting
L Gautheron, P Germain, A Habrard, G Metzler, E Morvant, M Sebban, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
3*2021
L-SVMs: Landmarks-based Linear Local Support Vectors Machines
V Zantedeschi, R Emonet, M Sebban
arXiv preprint arXiv:1703.00284, 2017
32017
Revisite des" random Fourier features" basée sur l'apprentissage PAC-Bayésien via des points d'intérêts
L Gautheron, P Germain, A Habrard, G Letarte, E Morvant, M Sebban, ...
22019
A Unified View of Local Learning: Theory and Algorithms for Enhancing Linear Models
V Zantedeschi
Université de Lyon, 2018
12018
Lipschitz continuity of mahalanobis distances and bilinear forms
V Zantedeschi, R Emonet, M Sebban
arXiv preprint arXiv:1604.01376, 2016
12016
The system can't perform the operation now. Try again later.
Articles 1–20