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Borja Requena Pozo
Borja Requena Pozo
ICFO-The Institute of Photonic Sciences
Verified email at icfo.eu
Title
Cited by
Cited by
Year
Objective comparison of methods to decode anomalous diffusion
G Muñoz-Gil, G Volpe, MA Garcia-March, E Aghion, A Argun, CB Hong, ...
Nature communications 12 (1), 6253, 2021
1192021
Modern applications of machine learning in quantum sciences
A Dawid, J Arnold, B Requena, A Gresch, M Płodzień, K Donatella, ...
arXiv preprint arXiv:2204.04198, 2022
41*2022
Shopper intent prediction from clickstream e-commerce data with minimal browsing information
B Requena, G Cassani, J Tagliabue, C Greco, L Lacasa
Scientific reports 10 (1), 16983, 2020
372020
The anomalous diffusion challenge dataset
G Muñoz-Gil, B Requena, G Volpe, MA Garcia-March, C Manzo
14*2020
Inferring pointwise diffusion properties of single trajectories with deep learning
B Requena, S Masó-Orriols, J Bertran, M Lewenstein, C Manzo, ...
Biophysical Journal, 2023
22023
Certificates of quantum many-body properties assisted by machine learning
B Requena, G Muñoz-Gil, M Lewenstein, V Dunjko, J Tura
Physical Review Research 5 (1), 013097, 2023
12023
Policy gradient methods on a multi-agent game with Kullback-Leibler costs
B Requena Pozo
2018
Electromagnetic characterization of living action potential
B Requena Pozo
Universitat Politècnica de Catalunya, 2017
2017
Certificates of many-body properties assisted by machine learning
B Requena, G Muñoz-Gil, M Lewenstein, V Dunjko, J Tura
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Articles 1–9