متابعة
Valentina Zantedeschi
Valentina Zantedeschi
ServiceNow, Laval University
بريد إلكتروني تم التحقق منه على servicenow.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Adversarial Robustness Toolbox v1. 0.0‏
N Maria-Irina, M Sinn, MN Tran, A Rawat, M Wistuba, V Zantedeschi, ...‏
arXiv preprint arXiv:1807.01069, 2018‏
703*2018
Efficient defenses against adversarial attacks‏
V Zantedeschi, MI Nicolae, A Rawat‏
Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017‏
3832017
Lag-llama: Towards foundation models for time series forecasting‏
K Rasul, A Ashok, AR Williams, A Khorasani, G Adamopoulos, ...‏
arXiv preprint arXiv:2310.08278, 2023‏
1122023
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
952020
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
612022
Lag-llama: Towards foundation models for probabilistic time series forecasting‏
K Rasul, A Ashok, AR Williams, H Ghonia, R Bhagwatkar, A Khorasani, ...‏
arXiv preprint arXiv:2310.08278, 2023‏
582023
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
402022
Causal discovery with language models as imperfect experts‏
S Long, A Piché, V Zantedeschi, T Schuster, A Drouin‏
Structured Probabilistic Inference & Generative Modeling (SPIGM) workshop at …, 2023‏
382023
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
322021
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
262019
Learning binary decision trees by argmin differentiation‏
V Zantedeschi, M Kusner, V Niculae‏
International Conference on Machine Learning, 12298-12309, 2021‏
25*2021
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
182021
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
18*2016
TACTis-2: Better, faster, simpler attentional copulas for multivariate time series‏
A Ashok, É Marcotte, V Zantedeschi, N Chapados, A Drouin‏
International Conference on Learning Representations 2024, 2023‏
132023
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
122019
DAG learning on the permutahedron‏
V Zantedeschi, L Franceschi, J Kaddour, MJ Kusner, V Niculae‏
ICLR, 2023‏
112023
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts‏
É Marcotte, V Zantedeschi, A Drouin, N Chapados‏
ICML, 2023‏
102023
On margins and generalisation for voting classifiers‏
F Biggs, V Zantedeschi, B Guedj‏
Advances in Neural Information Processing Systems 35, 2022‏
102022
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
82020
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
72016
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مقالات 1–20