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Valentina Zantedeschi

LHC

On Margins and Generalisation for Voting Classifiers



Felix Biggs , Valentina Zantedeschi , Benjamin Guedj

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Unsupervised Change Detection of Extreme Events Using ML On-Board



Vít Růžička , Anna Vaughan , Daniele De Martini , James Fulton , Valentina Salvatelli , Chris Bridges , Gonzalo Mateo-Garcia , Valentina Zantedeschi

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* 5 pages (+2 in appendix), 5 figures (+1 in appendix), 2 tables (+3 in appendix), NeurIPS Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop (AI+HADR), 2021 
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Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound



Valentina Zantedeschi , Paul Viallard , Emilie Morvant , Rémi Emonet , Amaury Habrard , Pascal Germain , Benjamin Guedj

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RainBench: Towards Global Precipitation Forecasting from Satellite Imagery



Christian Schroeder de Witt , Catherine Tong , Valentina Zantedeschi , Daniele De Martini , Freddie Kalaitzis , Matthew Chantry , Duncan Watson-Parris , Piotr Bilinski

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* Work completed during the 2020 Frontier Development Lab research accelerator, a private-public partnership with NASA in the US, and ESA in Europe. Accepted as a spotlight/long oral talk at both Climate Change and AI, as well as AI for Earth Sciences Workshops at NeurIPS 2020 
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Learning Binary Trees via Sparse Relaxation



Valentina Zantedeschi , Matt J. Kusner , Vlad Niculae

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Cumulo: A Dataset for Learning Cloud Classes



Valentina Zantedeschi , Fabrizio Falasca , Alyson Douglas , Richard Strange , Matt J. Kusner , Duncan Watson-Parris

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* Tackling Climate Change with Machine Learning Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 
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Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting



Léo Gautheron , Pascal Germain , Amaury Habrard , Emilie Morvant , Marc Sebban , Valentina Zantedeschi

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Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph



Valentina Zantedeschi , Aurélien Bellet , Marc Tommasi

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* 25 pages 
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Adversarial Robustness Toolbox v0.3.0



Maria-Irina Nicolae , Mathieu Sinn , Minh Ngoc Tran , Ambrish Rawat , Martin Wistuba , Valentina Zantedeschi , Nathalie Baracaldo , Bryant Chen , Heiko Ludwig , Ian M. Molloy , Ben Edwards

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* 33 pages 
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Efficient Defenses Against Adversarial Attacks



Valentina Zantedeschi , Maria-Irina Nicolae , Ambrish Rawat

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* 16 pages 
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