| EDGE: the origin of scatter in ultra-faint dwarf stellar masses and surface brightnesses MP Rey, A Pontzen, O Agertz, MDA Orkney, JI Read, A Saintonge, ... The Astrophysical Journal Letters 886 (1), L3, 2019 | 66 | 2019 |
| An emulator for the Lyman-α forest in beyond-ΛCDM cosmologies C Pedersen, A Font-Ribera, KK Rogers, P McDonald, HV Peiris, ... Journal of Cosmology and Astroparticle Physics 2021 (05), 033, 2021 | 38 | 2021 |
| More accurate simulations with separate initial conditions for baryons and dark matter S Bird, Y Feng, C Pedersen, A Font-Ribera Journal of Cosmology and Astroparticle Physics 2020 (06), 002, 2020 | 31 | 2020 |
| Massive neutrinos and degeneracies in Lyman-alpha forest simulations C Pedersen, A Font-Ribera, TD Kitching, P McDonald, S Bird, A Slosar, ... Journal of Cosmology and Astroparticle Physics 2020 (04), 025, 2020 | 19 | 2020 |
| Compressing the cosmological information in one-dimensional correlations of the Lyman-α forest C Pedersen, A Font-Ribera, NY Gnedin The Astrophysical Journal 944 (2), 223, 2023 | 12 | 2023 |
| MP-Gadget/MP-Gadget: A tag for getting a DOI, doi: 10.5281/zenodo. 1451799 Y Feng, S Bird, L Anderson, A Font-Ribera, C Pedersen | 11 | 2018 |
| Non-linearities in the Lyman-α forest and in its cross-correlation with dark matter halos JJ Givans, A Font-Ribera, A Slosar, L Seeyave, C Pedersen, KK Rogers, ... Journal of Cosmology and Astroparticle Physics 2022 (09), 070, 2022 | 7 | 2022 |
| A neural network emulator for the Lyman-α forest 1D flux power spectrum L Cabayol-Garcia, J Chaves-Montero, A Font-Ribera, C Pedersen Monthly Notices of the Royal Astronomical Society 525 (3), 3499-3515, 2023 | 4 | 2023 |
| Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation C Pedersen, L Zanna, J Bruna, P Perezhogin arXiv preprint arXiv:2307.13144, 2023 | 3 | 2023 |
| Learnable wavelet neural networks for cosmological inference C Pedersen, M Eickenberg, S Ho arXiv preprint arXiv:2307.14362, 2023 | 2 | 2023 |
| Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures C Pedersen, T Tesileanu, T Wu, S Golkar, M Cranmer, Z Zhang, S Ho arXiv preprint arXiv:2309.16645, 2023 | 1 | 2023 |
| Toward Machine-learning-based Metastudies: Applications to Cosmological Parameters T Crossland, P Stenetorp, D Kawata, S Riedel, TD Kitching, A Deshpande, ... The Astrophysical Journal Supplement Series 269 (2), 34, 2023 | | 2023 |
