| Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states JWT Keeble, M Drissi, A Rojo-Francàs, B Juliá-Díaz, A Rios Physical Review A 108 (6), 063320, 2023 | 8 | 2023 |
| Many-body approximations to the superfluid gap and critical temperature in pure neutron matter M Drissi, A Rios The European Physical Journal A 58 (5), 90, 2022 | 8 | 2022 |
| Renormalization of pionless effective field theory in the A-body sector M Drissi, T Duguet, V Soma The European Physical Journal A 56 (4), 119, 2020 | 8 | 2020 |
| Solutions to problems at Les Houches Summer School on EFT M Balsiger, M Bounakis, M Drissi, J Gargalionis, E Gustafson, G Jackson, ... arXiv preprint arXiv:2005.08573, 2020 | 4 | 2020 |
| Nambu-covariant many-body theory II: Self-consistent approximations M Drissi, A Rios, C Barbieri Annals of Physics 469, 169730, 2024 | 3 | 2024 |
| Second-order optimization strategies for neural network quantum states M Drissi, JWT Keeble, J Rozalén Sarmiento, A Rios Philosophical Transactions A 382 (2275), 20240057, 2024 | 3 | 2024 |
| Nambu-covariant many-body theory I: Perturbative approximations M Drissi, A Rios, C Barbieri Annals of Physics 469, 169729, 2024 | 2 | 2024 |
| Renormalization invariance of many-body observables within pionless effective field theory M Drissi Université Paris-Saclay, 2018 | 1 | 2018 |
| An recipe for taming nuclear-structure dependence of : the superallowed transition M Gennari, M Drissi, M Gorchtein, P Navratil, CY Seng arXiv preprint arXiv:2405.19281, 2024 | | 2024 |
| Optimizing Fermionic Neural Networks with Decision Geometry M Drissi, J Keeble, A Rios APS Meeting Abstracts, C08. 003, 2023 | | 2023 |
| Ab initio calculations of nuclear structure corrections of super-allowed Fermi transitions P Navratil, M Gennari, CY Seng, M Gorshteyn, M Atkinson, M Drissi, ... APS Meeting Abstracts, L05. 003, 2023 | | 2023 |
