Alessandra Buonanno

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 4

Top Topics

Bayesian Inference

Importance Sampling

Markov Chain Monte Carlo

Top Venues

Publications

Maximilian Dax, Stephen R. Green, Jonathan Gair, Nihar Gupte, Michael Pürrer, Vivien Raymond, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
Real-time gravitational-wave inference for binary neutron stars using machine learning. CoRR (2024)
Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference. CoRR (2022)
Jonas Wildberger, Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
Adapting to noise distribution shifts in flow-based gravitational-wave inference. CoRR (2022)
Maximilian Dax, Stephen R. Green, Jonathan Gair, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
Real-time gravitational-wave science with neural posterior estimation. CoRR (2021)