Publications of Stephen Green

Journal Article (9)

Journal Article
Ortiz, N.; Carrasco, F. L.; Green, S.; Lehner, L.; Liebling, S. L.; Westernacher-Schneider, J. R.: Gamma-radiation sky maps from compact binaries. Journal of Cosmology and Astroparticle Physics 2022 (02), 027 (2022)
Journal Article
Sberna, L.; Bosch, P.; East, W. E.; Green, S.; Lehner , L.: Nonlinear effects in the black hole ringdown: absorption-induced mode excitation. Physical Review D 105 (6), 064046 (2022)
Journal Article
Toomani, V.; Zimmerman, P.; Spiers, A.; Hollands, S.; Pound, A.; Green, S.: New metric reconstruction scheme for gravitational self-force calculations. Classical and Quantum Gravity 39 (1), 015019 (2022)
Journal Article
Whittaker, T.; East, W. E.; Green, S.; Lehner, L.; Yang, H.: Using machine learning to parametrize postmerger signals from binary neutron stars. Physical Review D 105 (12), 124021 (2022)
Journal Article
Dax, M.; Green, S.; Gair, J.; Macke, J. H.; Buonanno, A.; Schölkopf, B.: Real-time gravitational-wave science with neural posterior estimation. Physical Review Letters 127 (24), 241103 (2021)
Journal Article
Green, S.; Gair, J.: Complete parameter inference for GW150914 using deep learning. Machine Learning: Science and Technology 2, 03LT01 (2021)
Journal Article
Bosch, P.; Green, S.; Lehner , L.; Roussille, H.: Excited hairy black holes: dynamical construction and level transitions. Physical Review D 102 (4), 044014 (2020)
Journal Article
Green, S.; Hollands, S.; Zimmerman, P.: Teukolsky formalism for nonlinear Kerr perturbations. Classical and Quantum Gravity 37 (7), 075001 (2020)
Journal Article
Green, S.; Simpson, C.; Gair, J.: Gravitational-wave parameter estimation with autoregressive neural network flows. Physical Review D 102, 104057 (2020)

Conference Paper (1)

Conference Paper
Dax , M.; Green, S.; Gair, J.; Deistler, M.; Schölkopf, B.; Macke, J. H.: Group equivariant neural posterior estimation. In: The Tenth International Conference on Learning Representations. ICLR 2022. ICLR 2022, September 14, 2021 - October 05, 2021. (2022)

Working Paper (3)

Working Paper
Wildberger , J.; Dax , M.; Green, S.; Gair, J.; Pürrer, M.; Macke , J. H.; Buonanno, A.; Schölkopf, B.: Adapting to noise distribution shifts in flow-based gravitational-wave inference. (2022)
Working Paper
Green, S.; Hollands, S.; Sberna, L.; Toomani, V.; Zimmerman, P.: Conserved currents for Kerr and orthogonality of quasinormal modes. (2022)
Working Paper
Dax, M.; Green, S.; Gair, J.; Pürrer, M.; Wildberger, J.; Macke, J. H.; Buonanno, A.; Schölkopf, B.: Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference. (2022)
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