| CosmoPower: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys A Spurio Mancini, D Piras, J Alsing, B Joachimi, MP Hobson Monthly Notices of the Royal Astronomical Society 511 (2), 1771-1788, 2022 | 147 | 2022 |
| The mass dependence of dark matter halo alignments with large-scale structure D Piras, B Joachimi, BM Schäfer, M Bonamigo, S Hilbert, E van Uitert Monthly Notices of the Royal Astronomical Society 474 (1), 1165-1175, 2018 | 42 | 2018 |
| CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators D Piras, AS Mancini The Open Journal of Astrophysics 6 (arXiv:2305.06347), 2023 | 19 | 2023 |
| Discovering the building blocks of dark matter halo density profiles with neural networks L Lucie-Smith, HV Peiris, A Pontzen, B Nord, J Thiyagalingam, D Piras Physical Review D 105 (10), 103533, 2022 | 13 | 2022 |
| A robust estimator of mutual information for deep learning interpretability D Piras, HV Peiris, A Pontzen, L Lucie-Smith, N Guo, B Nord Machine Learning: Science and Technology 4 (2), 025006, 2023 | 12 | 2023 |
| Accelerating Bayesian microseismic event location with deep learning A Spurio Mancini, D Piras, AMG Ferreira, MP Hobson, B Joachimi Solid Earth Discussions 2021, 1-36, 2021 | 11 | 2021 |
| Fast and realistic large-scale structure from machine-learning-augmented random field simulations D Piras, B Joachimi, F Villaescusa-Navarro Monthly Notices of the Royal Astronomical Society 520 (1), 668-683, 2023 | 10 | 2023 |
| The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison D Piras, A Polanska, AS Mancini, MA Price, JD McEwen arXiv preprint arXiv:2405.12965, 2024 | 8 | 2024 |
| Representation Learning for High-Dimensional Data Collection under Local Differential Privacy A Mansbridge, G Barbour, D Piras, M Murray, C Frye, I Feige, D Barber arXiv preprint arXiv:2010.12464, 2020 | 7* | 2020 |
| Learned harmonic mean estimation of the Bayesian evidence with normalizing flows A Polanska, MA Price, D Piras, AS Mancini, JD McEwen arXiv preprint arXiv:2405.05969, 2024 | 6 | 2024 |
| Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism D Piras, A Spurio Mancini, AMG Ferreira, B Joachimi, MP Hobson Geophysical Journal International 232 (2), 1219-1235, 2023 | 3* | 2023 |
| Representation learning approach to probe for dynamical dark energy in matter power spectra D Piras, L Lombriser Physical Review D 110 (2), 023514, 2024 | 1 | 2024 |
| Full-waveform earthquake source inversion using simulation-based inference AA Saoulis, D Piras, AS Mancini, B Joachimi, AMG Ferreira arXiv preprint arXiv:2410.23238, 2024 | | 2024 |
| Testing interacting dark energy with Stage IV cosmic shear surveys through differentiable neural emulators K Carrion, AS Mancini, D Piras, JC Hidalgo arXiv preprint arXiv:2410.10603, 2024 | | 2024 |
| Psi-GAN: A power-spectrum-informed generative adversarial network for the emulation of large-scale structure maps across cosmologies and redshifts P Bhambra, B Joachimi, O Lahav, D Piras arXiv preprint arXiv:2410.07349, 2024 | | 2024 |
| Self-supervised learning on MeerKAT wide-field continuum images E Lastufka, O Bait, O Taran, M Drozdova, V Kinakh, D Piras, M Audard, ... Astronomy & Astrophysics 690, A310, 2024 | | 2024 |
| Vision foundation models: can they be applied to astrophysics data? E Lastufka, M Drozdova, V Kinakh, D Piras, S Voloshynovskyy arXiv preprint arXiv:2409.11175, 2024 | | 2024 |
| Deep learning insights into non-universality in the halo mass function N Guo, L Lucie-Smith, HV Peiris, A Pontzen, D Piras Monthly Notices of the Royal Astronomical Society 532 (4), 4141-4156, 2024 | | 2024 |
| CosmoPower: Machine learning-accelerated Bayesian inference A Spurio Mancini, D Piras, J Alsing, B Joachimi, MP Hobson Astrophysics Source Code Library, ascl: 2405.025, 2024 | | 2024 |
| 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 |
Benjamin JoachimiProfessor of Astrophysics, University College London在 ucl.ac.uk 的电子邮件经过验证
