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  Author Title Year Publication (down) Volume Pages Links
Khosa, C.K.; Sanz, V.; Soughton, M. Using machine learning to disentangle LHC signatures of Dark Matter candidates 2021 Scipost Physics 10 151 - 26pp details   doi
Cranmer, K. et al; Sanz, V. Publishing statistical models: Getting the most out of particle physics experiments 2022 Scipost Physics 12 037 - 55pp details   doi
Khosa, C.K.; Sanz, V. Anomaly Awareness 2023 Scipost Physics 15 053 - 24pp details   doi
Kasieczka, G. et al; Sanz, V. The LHC Olympics 2020: a community challenge for anomaly detection in high energy physics 2021 Reports on Progress in Physics 84 124201 - 64pp details   doi
Huang, F.; Sanz, V.; Shu, J.; Xue, X. LIGO as a probe of dark sectors 2021 Physical Review D 104 095001 - 9pp details   doi
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