Jonathan Gair

According to our database, Jonathan Gair authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Real-time inference for binary neutron star mergers using machine learning.

Maximilian Dax, Stephen R. Green, Jonathan Gair, Nihar Gupte, Michael Pürrer, Vivien Raymond, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf

Nat., March, 2025

2024

Real-time gravitational-wave inference for binary neutron stars using machine learning.

Maximilian Dax, Stephen R. Green, Jonathan Gair, Nihar Gupte, Michael Pürrer, Vivien Raymond, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf

CoRR, 2024

2023

The second data release from the European Pulsar Timing Array I. The dataset and timing analysis.

J. Antoniadis, S. Babak, A.-S. Bak Nielsen, C. G. Bassa, A. Berthereau, M. Bonetti, E. Bortolas, Paul R. Brook, M. Burgay, R. N. Caballero, A. Chalumeau, David J. Champion, S. Chanlaridis, S. Chen, I. Cognard, G. Desvignes, M. Falxa, R. D. Ferdman, A. Franchini, Jonathan Gair, Boris Goncharov, A. Gopakumar, E. Graikou, Jean-Mathias Grießmeier, L. Guillemot, Y. J. Guo, H. Hu, F. Iraci, D. Izquierdo Villalba, J. Jang, J. Jawor, G. H. Janssen, A. Jessner, Ramesh Karuppusamy, Evan F. Keane, M. J. Keith, M. Kramer, M. A. Krishnakumar, K. Lackeos, K. J. Lee, K. Liu, Y. Liu, A. G. Lyne, James W. McKee, R. A. Main, Mitchell B. Mickaliger, I. C. Nitu, A. Parthasarathy, B. B. P. Perera, Delphine Perrodin, A. Petiteau, N. K. Porayko, A. Possenti, Leclere H. Quelquejay, A. Samajdar, S. A. Sanidas, A. Sesana, G. Shaifullah, L. Speri, R. Spiewak, B. W. Stappers, S. C. Susarla, G. Theureau, C. Tiburzi, der Wateren E. van, A. Vecchio, V. Venkatraman Krishnan, J. P. W. Verbiest, J. Wang, L. Wang, Z. Wu

Dataset, June, 2023

The second data release from the European Pulsar Timing Array I. The dataset and timing analysis.

J. Antoniadis, S. Babak, A.-S. Bak Nielsen, C. G. Bassa, A. Berthereau, M. Bonetti, E. Bortolas, Paul R. Brook, M. Burgay, R. N. Caballero, A. Chalumeau, David J. Champion, S. Chanlaridis, S. Chen, I. Cognard, G. Desvignes, M. Falxa, R. D. Ferdman, A. Franchini, Jonathan Gair, Boris Goncharov, A. Gopakumar, E. Graikou, Jean-Mathias Grießmeier, L. Guillemot, Y. J. Guo, H. Hu, F. Iraci, D. Izquierdo Villalba, J. Jang, J. Jawor, Gemma H. Janssen, A. Jessner, Ramesh Karuppusamy, Evan F. Keane, M. J. Keith, Michael Kramer, M. A. Krishnakumar, K. Lackeos, K. J. Lee, K. Liu, Y. Liu, A. G. Lyne, James W. McKee, R. A. Main, Mitchell B. Mickaliger, I. C. Nitu, A. Parthasarathy, B. B. P. Perera, Delphine Perrodin, A. Petiteau, N. K. Porayko, A. Possenti, Leclere H. Quelquejay, A. Samajdar, S. A. Sanidas, A. Sesana, G. Shaifullah, L. Speri, R. Spiewak, B. W. Stappers, S. C. Susarla, G. Theureau, C. Tiburzi, der Wateren E. van, A. Vecchio, V. Venkatraman Krishnan, J. P. W. Verbiest, J. Wang, L. Wang, Z. Wu

Dataset, June, 2023

The second data release from the European Pulsar Timing Array III. Search for gravitational wave signals.

J. Antoniadis, P. Arumugam, S. Arumugam, S. Babak, M. Bagchi, A.-S. Bak Nielsen, Cees G. Bassa, A. Bathula, A. Berthereau, M. Bonetti, E. Bortolas, Paul R. Brook, M. Burgay, R. N. Caballero, A. Chalumeau, David J. Champion, S. Chanlaridis, S. Chen, I. Cognard, S. Dandapat, D. Deb, S. Desai, G. Desvignes, N. Dhanda Batra, C. Dwivedi, M. Falxa, R. D. Ferdman, A. Franchini, Jonathan Gair, Boris Goncharov, A. Gopakumar, E. Graikou, Jean-Mathias Grießmeier, L. Guillemot, Y. J. Guo, Y. Gupta, S. Hisano, H. Hu, F. Iraci, D. Izquierdo Villalba, J. Jang, J. Jawor, Gemma H. Janssen, A. Jessner, B. C. Joshi, F. Kareem, Ramesh Karuppusamy, Evan F. Keane, M. J. Keith, D. Kharbanda, T. Kikunaga, N. Kolhe, Michael Kramer, M. A. Krishnakumar, K. Lackeos, K. J. Lee, K. Liu, Y. Liu, A. G. Lyne, James W. McKee, Y. Maan, R. A. Main, Mitchell B. Mickaliger, I. C. Nitu, K. Nobleson, A. K. Paladi, A. Parthasarathy, B. B. P. Perera, Delphine Perrodin, A. Petiteau, N. K. Porayko, A. Possenti, T. Prabu, Leclere H. Quelquejay, P. Rana, A. Samajdar, S. A. Sanidas, D. Semikoz, A. Sesana, G. Shaifullah, J. Singha, L. Speri, R. Spiewak, A. Srivastava, B. W. Stappers, M. Surnis, S. C. Susarla, A. Susobhanan, K. Takahashi, P. Tarafdar, G. Theureau, C. Tiburzi, der Wateren E. van, A. Vecchio, V. Venkatraman Krishnan, J. P. W. Verbiest, J. Wang, L. Wang, Z. Wu

Dataset, June, 2023

2022

Adapting to noise distribution shifts in flow-based gravitational-wave inference.

Jonas Wildberger, Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf

CoRR, 2022

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference.

Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf

CoRR, 2022

Group equivariant neural posterior estimation.

Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Complete parameter inference for GW150914 using deep learning.

Stephen R. Green, Jonathan Gair

Mach. Learn. Sci. Technol., September, 2021

Real-time gravitational-wave science with neural posterior estimation.

Maximilian Dax, Stephen R. Green, Jonathan Gair, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf

CoRR, 2021

2020

Gravitational-wave parameter estimation with autoregressive neural network flows.

Stephen R. Green, Christine Simpson, Jonathan Gair

CoRR, 2020