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Self-optimizing adaptive optics control with reinforcement learning for high-contrast imaging2021 Journal of Astronomical Telescopes Instruments and Systems article Physics and Astronomy Adaptive optics and wavefront sensing Open access
Rico Landman, Sebastiaan Y. Haffert, Vikram Mark Radhakrishnan, Christoph U. Keller
27citations -
An adaptive learning strategy for surrogate modeling of high-dimensional functions - Application to unsteady hypersonic flows in chemical nonequilibrium2024 Computer Physics Communications article Physics and Astronomy Model Reduction and Neural Networks Open access
Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi
11citations -
A Deep Reinforcement Learning Approach to Wavefront Control for Exoplanet Imaging2024 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access
Yann Gutierrez, Johan Mazoyer, Olivier Herscovici-Schiller, Laurent M. Mugnier, B. Abeloos, Iva Laginja
0citations -
On-sky demonstration of self-learning predictive control with MagAO-X2026 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access
Sebastiaan Y. Haffert, Jared R. Males, Parker T. Johnson, Laird M. Close, Olivier Guyon, Jay Kueny, +10 more
0citations -
Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning2026 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access
Nathan K. Long, Barnaby R. M. Norris, Daniel S. Dahl, Christopher H. Betters, Julia J. Bryant, Nick Cvetojević, +7 more
0citations -
A deep reinforcement learning approach to wavefront control for exoplanet imaging2024 Space Telescopes and Instrumentation: Optical, Infrared, and Millimeter Wave conference-paper Physics and Astronomy Adaptive optics and wavefront sensing Open access
Yann Gutierrez, Johan Mazoyer, Olivier Herscovici-Schiller, Laurent M. Mugnier, B. Abeloos, Iva Laginja
1citations -
Shared Data and Algorithms for Deep Learning in Fundamental Physics2021 RWTH Publications (RWTH Aachen) article Physics and Astronomy Particle physics theoretical and experimental studies Open access
L. Benato, Erik Buhmann, Martin Erdmann, P. Fackeldey, Jonas Glombitza, Gregor Kasieczka, +4 more
0citations -
Shared Data and Algorithms for Deep Learning in Fundamental Physics2022 Computing and Software for Big Science article Physics and Astronomy Particle physics theoretical and experimental studies Open access
L. Benato, Erik Buhmann, Martin Erdmann, P. Fackeldey, Jonas Glombitza, N. M. Hartmann, +7 more
25citations -
Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning2024 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Euclid Collaboration, Ben Aussel, S. Kruk, M. Walmsley, Marc Huertas-Company, M Castellano, +94 more
0citations -
Comparison of deep learning and hand crafted features for mining simulation data2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Physics and Astronomy Model Reduction and Neural Networks
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
1citations