| Enhancing gravitational-wave science with machine learning E Cuoco, J Powell, M Cavaglià, K Ackley, M Bejger, C Chatterjee, ... Machine Learning: Science and Technology 2 (1), 011002, 2020 | 201 | 2020 |
| Convolutional neural networks: a magic bullet for gravitational-wave detection? TD Gebhard, N Kilbertus, I Harry, B Schölkopf Physical Review D 100 (6), 063015, 2019 | 154 | 2019 |
| Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory SR Vaughan, TD Gebhard, K Bott, SL Casewell, NB Cowan, DS Doelman, ... Monthly Notices of the Royal Astronomical Society 524 (4), 5477-5485, 2023 | 20 | 2023 |
| Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework TD Gebhard, MJ Bonse, SP Quanz, B Schölkopf Astronomy & Astrophysics 666 (A9), 2022 | 20 | 2022 |
| CONVWAVE: Searching for Gravitational Waves with Fully Convolutional Neural Nets T Gebhard, N Kilbertus, G Parascandolo, I Harry, B Schölkopf Workshop on Deep Learning for Physical Sciences (DLPS) at the 31st …, 2017 | 18 | 2017 |
| Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-contrast Imaging in the Presence of Non-Gaussian Noise MJ Bonse, EO Garvin, TD Gebhard, FA Dannert, F Cantalloube, G Cugno, ... The Astronomical Journal 166 (2), 71, 2023 | 12 | 2023 |
| Parameterizing pressure–temperature profiles of exoplanet atmospheres with neural networks TD Gebhard, D Angerhausen, BS Konrad, E Alei, SP Quanz, B Schölkopf Astronomy & Astrophysics 681, A3, 2024 | 4 | 2024 |
| Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling TD Gebhard, J Wildberger, M Dax, D Angerhausen, SP Quanz, ... arXiv preprint arXiv:2312.08295, 2023 | 4 | 2023 |
| CROCODILE-Incorporating medium-resolution spectroscopy of close-in directly imaged exoplanets into atmospheric retrievals via cross-correlation J Hayoz, G Cugno, SP Quanz, P Patapis, E Alei, MJ Bonse, FA Dannert, ... Astronomy & Astrophysics 678, A178, 2023 | 4 | 2023 |
| Integrated photonic-based coronagraphic systems for future space telescopes N Desai, L König, E Por, R Juanola-Parramon, R Belikov, I Laginja, ... Techniques and Instrumentation for Detection of Exoplanets XI 12680, 585-593, 2023 | 2 | 2023 |
| Comparing Apples with Apples: Statistically sound Detection Limits for Exoplanet High Contrast Imaging M Bonse, E Garvin, T Gebhard, F Dannert, G Cugno, S Quanz Bulletin of the American Astronomical Society 54 (5), 102.392, 2022 | 2 | 2022 |
| Physically constrained causal noise models for high-contrast imaging of exoplanets TD Gebhard, MJ Bonse, SP Quanz, B Schölkopf | 2 | 2020 |
| Software Quality Control at Belle II M Ritter, T Kuhr, C Pulvermacher, M Kristof, T Hauth, T Gebhard J. Phys. Conf. Ser. 898, 072029, 2017 | 2 | 2017 |
| Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011 MJ Bonse, TD Gebhard, FA Dannert, O Absil, F Cantalloube, ... arXiv preprint arXiv:2406.01809, 2024 | 1 | 2024 |
| Visible extreme adaptive optics on extremely large telescopes: towards detecting oxygen in Proxima Centauri b and analogs J Fowler, SY Haffert, MAM van Kooten, R Landman, A Bidot, A Hours, ... Techniques and Instrumentation for Detection of Exoplanets XI 12680, 594-604, 2023 | 1 | 2023 |
| Using machine learning to parameterize pressure-temperature profiles for atmospheric retrievals of exoplanets T Gebhard, D Angerhausen, E Alei, B Konrad, B Schölkopf, SP Quanz The Astrobiology Science Conference (AbSciCon) 2022, 301-02, 2022 | 1 | 2022 |
| Sample size estimation for outlier detection T Gebhard, I Koerte, S Bouix Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 1 | 2015 |
| Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels TD Gebhard, J Wildberger, M Dax, A Kofler, D Angerhausen, SP Quanz, ... arXiv preprint arXiv:2410.21477, 2024 | | 2024 |
| Analyzing Exoplanet Spectra with Flow Matching Posterior Estimation and Neural Importance Sampling T Gebhard, J Wildberger, M Dax, D Angerhausen, B Schölkopf, SP Quanz 2024 Astrobiology Science Conference, 2024 | | 2024 |
| Harvesting lost photons in stellar coronagraphs L Altinier, Y Gutierrez, O Absil, A Carlotti, O Herscovici-Schiller, ... Techniques and Instrumentation for Detection of Exoplanets XI 12680, 126801T, 2023 | | 2023 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
