| A study on iterative methods for solving Richards’ equation F List, FA Radu Computational Geosciences 20, 341-353, 2016 | 305 | 2016 |
| Galactic Center Excess in a New Light: Disentangling the -Ray Sky with Bayesian Graph Convolutional Neural Networks F List, NL Rodd, GF Lewis, I Bhat Physical Review Letters 125 (24), 241102, 2020 | 39 | 2020 |
| Formal upscaling and numerical validation of unsaturated flow models in fractured porous media K Kumar, F List, IS Pop, FA Radu Journal of Computational Physics 407, 109138, 2020 | 34 | 2020 |
| Rigorous Upscaling of Unsaturated Flow in Fractured Porous Media F List, K Kumar, IS Pop, FA Radu SIAM Journal on Mathematical Analysis 52 (1), 239-276, 2020 | 28 | 2020 |
| Extracting the Galactic Center excess’ source-count distribution with neural nets F List, NL Rodd, GF Lewis Physical Review D 104 (12), 123022, 2021 | 27 | 2021 |
| A unified framework for 21 cm tomography sample generation and parameter inference with progressively growing GANs F List, GF Lewis Monthly Notices of the Royal Astronomical Society 493 (4), 5913-5927, 2020 | 25 | 2020 |
| A black box for dark sector physics: Predicting dark matter annihilation feedback with conditional GANs F List, I Bhat, GF Lewis Monthly Notices of the Royal Astronomical Society 490 (3), 3134-3143, 2019 | 13 | 2019 |
| Formal upscaling and numerical validation of fractured flow models for Richards equation K Kumar, F List, I Pop, F Radu J. Comput. Phys 407 (10.1016), 2019 | 10 | 2019 |
| Upscaling of unsaturated flow in fractured porous media F List, K Kumar, IS Pop, FA Radu arXiv preprint arXiv:1807.05993, 2018 | 7 | 2018 |
| A novel scheme for Dark Matter Annihilation Feedback in cosmological simulations F List, N Iwanus, PJ Elahi, GF Lewis Monthly Notices of the Royal Astronomical Society 489 (3), 4217-4232, 2019 | 6 | 2019 |
| Lux ex tenebris: The imprint of annihilating dark matter on the intergalactic medium during Cosmic Dawn F List, PJ Elahi, GF Lewis The Astrophysical Journal 904 (2), 153, 2020 | 5 | 2020 |
| Dark matter annihilation feedback in cosmological simulations–II. The influence on gas and halo structure N Iwanus, PJ Elahi, F List, GF Lewis Monthly Notices of the Royal Astronomical Society 485 (1), 1420-1434, 2019 | 5 | 2019 |
| The Earth mover’s pinball loss: Quantiles for histogram-valued regression F List International Conference on Machine Learning, 6713-6724, 2021 | 4 | 2021 |
| Upscaling of Richards’ Equation in Fractured Porous Media F List Master Thesis, Eindhoven University of Technology, Eindhoven, Netherlands, 2017 | 4 | 2017 |
| Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion Models A Schanz, F List, O Hahn arXiv preprint arXiv:2310.06929, 2023 | 3 | 2023 |
| Bayesian Simulation-based Inference for Cosmological Initial Conditions F List, NA Montel, C Weniger arXiv preprint arXiv:2310.19910, 2023 | 2 | 2023 |
| DISCO-DJ I: a differentiable Einstein-Boltzmann solver for cosmology O Hahn, F List, N Porqueres arXiv preprint arXiv:2311.03291, 2023 | 1 | 2023 |
| Fluid-limit Cosmological Simulations Starting from the Big Bang F List, O Hahn, C Rampf arXiv preprint arXiv:2309.10865, 2023 | 1 | 2023 |
| Perturbation-theory informed integrators for cosmological simulations F List, O Hahn arXiv preprint arXiv:2301.09655, 2023 | 1 | 2023 |
| Chasing Hot Stuff in the Universe with Cool Stuff on Earth: Numerical and Deep Learning Methods for Dark Matter Annihilation F List | 1 | 2021 |
Florin A. RaduProfessor of Applied Mathematics, University of Bergen, Norway在 uib.no 的电子邮件经过验证
