Anna Vaughan

According to our database, Anna Vaughan authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

2023

Sim2Real for Environmental Neural Processes.

Jonas Scholz, Tom R. Andersson, Anna Vaughan, James Requeima, Richard E. Turner

CoRR, 2023

Autoregressive Conditional Neural Processes.

Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement.

Tom R. Andersson, Wessel P. Bruinsma, Stratis Markou, James Requeima, Alejandro Coca-Castro, Anna Vaughan, Anna-Louise Ellis, Matthew Lazzara, Daniel C. Jones, J. Scott Hosking, Richard E. Turner

CoRR, 2022

Practical Conditional Neural Processes Via Tractable Dependent Predictions.

Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner

CoRR, 2022

Practical Conditional Neural Process Via Tractable Dependent Predictions.

Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Unsupervised Change Detection of Extreme Events Using ML On-Board.

Vít Ruzicka, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi

CoRR, 2021

Convolutional conditional neural processes for local climate downscaling.

Anna Vaughan, William Tebbutt, J. Scott Hosking, Richard E. Turner

CoRR, 2021