105 citations · 367 across the 30 of their papers we have counts for
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hep-ph2019
Higgs boson potential at colliders: status and perspectives
B. Di Micco, M. Gouzevitch, J. Mazzitelli +104
This document summarises the current theoretical and experimental status of the di-Higgs boson production searches, and of the direct and indirect constraints on the Higgs boson se…
cs.LG2019★ 90 cited
Continual Learning via Neural Pruning
Siavash Golkar, Michael Kagan, Kyunghyun Cho
We introduce Continual Learning via Neural Pruning (CLNP), a new method aimed at lifelong learning in fixed capacity models based on neuronal model sparsification. In this method,…