Valentina Zantedeschi
Valentina Zantedeschi
Postdoctoral fellow at Inria and University College London
Vahvistettu sähköpostiosoite verkkotunnuksessa inria.fr - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Efficient defenses against adversarial attacks
V Zantedeschi, MI Nicolae, A Rawat
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017
1752017
Adversarial Robustness Toolbox v1. 0.0
MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ...
arXiv preprint arXiv:1807.01069, 2018
882018
Adversarial Robustness Toolbox v0. 2.2
MI Nicolae, M Sinn, TN Minh, A Rawat, M Wistuba, V Zantedeschi, ...
482018
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
122016
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
102020
Adversarial Robustness Toolbox v1. 2.0. CoRR 1807.01069 (2018)
MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ...
91807
Fast and provably effective multi-view classification with landmark-based svm
V Zantedeschi, R Emonet, M Sebban
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
52018
Beta-risk: a new surrogate risk for learning from weakly labeled data
V Zantedeschi, R Emonet, M Sebban
NIPS 2016, 2016
52016
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
42019
Communication-efficient and decentralized multi-task boosting while learning the collaboration graph
V Zantedeschi, A Bellet, M Tommasi
22019
L3-SVMs: Landmarks-based linear local support vectors machines
V Zantedeschi, R Emonet, M Sebban
22017
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery
CS de Witt, C Tong, V Zantedeschi, D De Martini, F Kalaitzis, M Chantry, ...
arXiv preprint arXiv:2012.09670, 2020
12020
Learning Binary Trees via Sparse Relaxation
V Zantedeschi, MJ Kusner, V Niculae
arXiv preprint arXiv:2010.04627, 2020
12020
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
12020
Apprentissage de combinaisons convexes de métriques locales avec garanties de généralisation
V Zantedeschi, R Emonet, M Sebban
CAp2016, 2016
12016
Lipschitz continuity of mahalanobis distances and bilinear forms
V Zantedeschi, R Emonet, M Sebban
arXiv preprint arXiv:1604.01376, 2016
12016
Landmark-based Ensemble Learning with Random Fourier Features and Gradient Boosting
L Gautheron, P Germain, A Habrard, G Metzler, E Morvant, M Sebban, ...
European Conference on Machine Learning and Principles and Practice of …, 2020
2020
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, ...
CAp 2019-Conférence sur l'Apprentissage automatique, 2019
2019
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting
L Gautheron, P Germain, A Habrard, E Morvant, M Sebban, ...
arXiv preprint arXiv:1906.06203, 2019
2019
A Unified View of Local Learning: Theory and Algorithms for Enhancing Linear Models
V Zantedeschi
Université de Lyon, 2018
2018
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Artikkelit 1–20