‪Alessandro Sanvito‬ - ‪Google Scholar‬

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Citations	6	6
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Co-authors

Stiven MetajMachine Learning Student, Politecnico di Milano, CERNVerified email at cern.ch
Fernando Benjamín Pérez MaureraPh.D. Candidate IT, DEIB, Politecnico di MilanoVerified email at polimi.it
Luca CarminatiPolitecnico di MilanoVerified email at polimi.it
Cesare BernardisOracle LabsVerified email at oracle.com
Maurizio Ferrari DacremaAssistant Professor, DEIB, Politecnico di MilanoVerified email at polimi.it

Alessandro Sanvito

Alessandro Sanvito

Politecnico di Milano

Verified email at mail.polimi.it

recommender systems applied quantum machine learning computer vision


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ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering A Ramazzina, M Bijelic, S Walz, A Sanvito, D Scheuble, F Heide Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	4	2023
United We Stand, Divided We Fall: Leveraging Ensembles of Recommenders to Compete with Budget Constrained Resources P Maldini, A Sanvito, M Surricchio Proceedings of the Recommender Systems Challenge 2022, 34-38, 2022	1	2022
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment L Carminati, G Lodigiani, P Maldini, S Meta, S Metaj, A Pisa, A Sanvito, ... Proceedings of the Recommender Systems Challenge 2021, 28-33, 2021	1	2021
Humans in the wild: NeRFs for Dynamic Scenes Modeling from In-the-Wild Monocular Videos with Humans S Alessandro		2023

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Articles 1–4