| Disentangling magnification in combined shear-clustering analyses L Thiele, CAJ Duncan, D Alonso Monthly Notices of the Royal Astronomical Society 491 (2), 1746-1758, 2020 | 20 | 2020 |
| Massive vector fields in Kerr-Newman and Kerr-Sen black hole spacetimes R Cayuso, OJC Dias, F Gray, D Kubizňák, A Margalit, JE Santos, ... Journal of High Energy Physics 2020 (4), 1-26, 2020 | 17 | 2020 |
| Teaching Neural Networks to Generate Fast Sunyaev–Zel’dovich Maps L Thiele, F Villaescusa-Navarro, DN Spergel, D Nelson, A Pillepich The Astrophysical Journal 902 (2), 129, 2020 | 11 | 2020 |
| Principal tensor strikes again: separability of vector equations with torsion R Cayuso, F Gray, D Kubizňák, A Margalit, RG Souza, L Thiele Physics Letters B 795, 650-656, 2019 | 10 | 2019 |
| Accurate analytic model for the thermal Sunyaev-Zel’dovich one-point probability distribution function L Thiele, JC Hill, KM Smith Physical Review D 99 (10), 103511, 2019 | 10 | 2019 |
| Can small-scale baryon inhomogeneities resolve the Hubble tension? An investigation with ACT DR4 L Thiele, Y Guan, JC Hill, A Kosowsky, DN Spergel Physical Review D 104 (6), 063535, 2021 | 9 | 2021 |
| Accurate analytic model for the weak lensing convergence one-point probability distribution function and its autocovariance L Thiele, JC Hill, KM Smith Physical Review D 102 (12), 123545, 2020 | 9 | 2020 |
| Multifield Cosmology with Artificial Intelligence F Villaescusa-Navarro, D Anglés-Alcázar, S Genel, DN Spergel, Y Li, ... arXiv preprint arXiv:2109.09747, 2021 | 7 | 2021 |
| Robust marginalization of baryonic effects for cosmological inference at the field level F Villaescusa-Navarro, S Genel, D Angles-Alcazar, DN Spergel, Y Li, ... arXiv preprint arXiv:2109.10360, 2021 | 5 | 2021 |
| The effective geometry Monte Carlo algorithm: Applications to molecular communication F Dinc, L Thiele, BC Akdeniz Physics Letters A 383 (22), 2594-2603, 2019 | 4 | 2019 |
| Effective Geometry Monte Carlo: A Fast and Reliable Simulation Framework for Molecular Communication F Dinç, M Medvidović, L Thiele IEEE Access 7, 28635-28650, 2019 | 2 | 2019 |
| The CAMELS Multifield Data Set: Learning the Universe’s Fundamental Parameters with Artificial Intelligence F Villaescusa-Navarro, S Genel, D Angles-Alcazar, L Thiele, R Dave, ... The Astrophysical Journal Supplement Series 259 (2), 61, 2022 | 1 | 2022 |
| Augmenting astrophysical scaling relations with machine learning: application to reducing the SZ flux-mass scatter D Wadekar, L Thiele, F Villaescusa-Navarro, JC Hill, DN Spergel, ... arXiv preprint arXiv:2201.01305, 2022 | 1 | 2022 |
| BISOU: a balloon project to measure the CMB spectral distortions B Maffei, MH Abitbol, N Aghanim, J Aumont, E Battistelli, J Chluba, ... arXiv preprint arXiv:2111.00246, 2021 | 1 | 2021 |
| An exploration of the properties of cluster profiles for the thermal and kinetic Sunyaev-Zel'dovich effects BKK Lee, WR Coulton, L Thiele, S Ho arXiv preprint arXiv:2205.01710, 2022 | | 2022 |
| Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks L Thiele, M Cranmer, W Coulton, S Ho, DN Spergel arXiv preprint arXiv:2203.00026, 2022 | | 2022 |
| Percent-level constraints on baryonic feedback with spectral distortion measurements L Thiele, D Wadekar, JC Hill, N Battaglia, J Chluba, ... arXiv preprint arXiv:2201.01663, 2022 | | 2022 |
| The CAMELS project: public data release F Villaescusa-Navarro, S Genel, D Anglés-Alcázar, LA Perez, ... arXiv preprint arXiv:2201.01300, 2022 | | 2022 |
| Equivariant and Modular DeepSets with Applications in Cluster Cosmology L Thiele, M Cranmer, W Coulton, S Ho, DN Spergel | | |
