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Valentina Zantedeschi
Valentina Zantedeschi
ServiceNow, Laval University
Verified email at servicenow.com - Homepage
Title
Cited by
Cited by
Year
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
863*2018
Efficient defenses against adversarial attacks
V Zantedeschi, MI Nicolae, A Rawat
Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017
4202017
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
4092023
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
1112020
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
802022
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
642023
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
552022
Context is key: A benchmark for forecasting with essential textual information
AR Williams, A Ashok, É Marcotte, V Zantedeschi, J Subramanian, ...
arXiv preprint arXiv:2410.18959, 2024
412024
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
362021
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
332023
Learning binary decision trees by argmin differentiation
V Zantedeschi, M Kusner, V Niculae
International Conference on Machine Learning, 12298-12309, 2021
32*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
312019
Repliqa: A question-answering dataset for benchmarking llms on unseen reference content
J Monteiro, PA Noel, E Marcotte, S Rajeswar, V Zantedeschi, D Vazquez, ...
Advances in Neural Information Processing Systems 37, 24242-24276, 2024
252024
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
232021
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
19*2016
Insightbench: Evaluating business analytics agents through multi-step insight generation
G Sahu, A Puri, J Rodriguez, A Abaskohi, M Chegini, A Drouin, ...
arXiv preprint arXiv:2407.06423, 2024
182024
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
É Marcotte, V Zantedeschi, A Drouin, N Chapados
ICML, 2023
182023
DAG learning on the permutahedron
V Zantedeschi, L Franceschi, J Kaddour, MJ Kusner, V Niculae
ICLR, 2023
162023
On margins and generalisation for voting classifiers
F Biggs, V Zantedeschi, B Guedj
Advances in Neural Information Processing Systems 35, 2022
152022
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
142018
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Articles 1–20