| Variable structures in M87* from space, time and frequency resolved interferometry P Arras, P Frank, P Haim, J Knollmüller, R Leike, M Reinecke, T Enßlin Nature Astronomy 6 (2), 259-269, 2022 | 68* | 2022 |
| Unified radio interferometric calibration and imaging with joint uncertainty quantification P Arras, P Frank, R Leike, R Westermann, TA Enßlin Astronomy & Astrophysics 627, A134, 2019 | 46 | 2019 |
| NIFTy 3 – Numerical Information Field Theory: A Python Framework for Multicomponent Signal Inference on HPC Clusters T Steininger, J Dixit, P Frank, M Greiner, S Hutschenreuter, J Knollmüller, ... Annalen der Physik 531 (3), 1800290, 2019 | 31 | 2019 |
| Nifty5: Numerical information field theory v5 P Arras, M Baltac, TA Ensslin, P Frank, S Hutschenreuter, J Knollmueller, ... Astrophysics Source Code Library, ascl: 1903.008, 2019 | 25 | 2019 |
| Geometric variational inference P Frank, R Leike, TA Enßlin Entropy 23 (7), 853, 2021 | 23 | 2021 |
| Reconstructing non-repeating radio pulses with Information Field Theory C Welling, P Frank, T Enßlin, A Nelles Journal of Cosmology and Astroparticle Physics 2021 (04), 071, 2021 | 14 | 2021 |
| Causal, Bayesian, & non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient’s age M Guardiani, P Frank, A Kostić, G Edenhofer, J Roth, B Uhlmann, T Enßlin Plos one 17 (10), e0275011, 2022 | 8* | 2022 |
| Field dynamics inference via spectral density estimation P Frank, T Steininger, TA Enßlin Physical Review E 96 (5), 052104, 2017 | 8 | 2017 |
| Field dynamics inference for local and causal interactions P Frank, R Leike, TA Enßlin Annalen der Physik 533 (5), 2000486, 2021 | 7 | 2021 |
| Multicomponent imaging of the Fermi gamma-ray sky in the spatio-spectral domain LI Scheel-Platz, J Knollmüller, P Arras, P Frank, M Reinecke, D Jüstel, ... Astronomy & Astrophysics 680, A2, 2023 | 4 | 2023 |
| Dynamical field inference and supersymmetry M Westerkamp, I Ovchinnikov, P Frank, T Enßlin Entropy 23 (12), 1652, 2021 | 4 | 2021 |
| Sharpening up Galactic all-sky maps with complementary data-A machine learning approach A Müller, M Hackstein, M Greiner, P Frank, DJ Bomans, RJ Dettmar, ... Astronomy & Astrophysics 620, A64, 2018 | 4 | 2018 |
| Efficient Representations of Spatially Variant Point Spread Functions with Butterfly Transforms in Bayesian Imaging Algorithms V Eberle, P Frank, J Stadler, S Streit, T Enßlin Physical Sciences Forum 5 (1), 33, 2022 | 3 | 2022 |
| Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR) G Edenhofer, RH Leike, P Frank, TA Enßlin arXiv preprint arXiv:2206.10634, 2022 | 3 | 2022 |
| The Galactic 3D large-scale dust distribution via Gaussian process regression on spherical coordinates RH Leike, G Edenhofer, J Knollmüller, C Alig, P Frank, TA Enßlin arXiv preprint arXiv:2204.11715, 2022 | 3 | 2022 |
| Bayesian decomposition of the Galactic multi-frequency sky using probabilistic autoencoders S Milosevic, P Frank, RH Leike, A Müller, TA Enßlin Astronomy & Astrophysics 650, A100, 2021 | 3 | 2021 |
| SOMBI: Bayesian identification of parameter relations in unstructured cosmological data P Frank, J Jasche, TA Enßlin Astronomy & Astrophysics 595, A75, 2016 | 3 | 2016 |
| Re-Envisioning Numerical Information Field Theory (NIFTy. re): A Library for Gaussian Processes and Variational Inference G Edenhofer, P Frank, J Roth, RH Leike, M Guerdi, LI Scheel-Platz, ... arXiv preprint arXiv:2402.16683, 2024 | 2 | 2024 |
| Butterfly Transforms for Efficient Representation of Spatially Variant Point Spread Functions in Bayesian Imaging V Eberle, P Frank, J Stadler, S Streit, T Enßlin Entropy 25 (4), 652, 2023 | 2 | 2023 |
| Geometric Variational Inference and Its Application to Bayesian Imaging P Frank Physical Sciences Forum 5 (1), 6, 2022 | 2 | 2022 |
Torsten EnsslinMax Planck Institute for Astrophysics, Ludwig Maximilians University MunichVerified email at MPA-Garching.MPG.DE
