Ben Anson

According to our database, Ben Anson authored at least 5 papers between 2023 and 2024.

Collaborative distances:

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

2024

Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines.

Edward Milsom, Ben Anson, Laurence Aitchison

CoRR, 2024

Flexible infinite-width graph convolutional networks and the importance of representation learning.

Ben Anson, Edward Milsom, Laurence Aitchison

CoRR, 2024

Convolutional Deep Kernel Machines.

Edward Milsom, Ben Anson, Laurence Aitchison

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

An improved variational approximate posterior for the deep Wishart process.

Sebastian W. Ober, Ben Anson, Edward Milsom, Laurence Aitchison

Proceedings of the Uncertainty in Artificial Intelligence, 2023

A theory of representation learning gives a deep generalisation of kernel methods.

Adam X. Yang, Maxime Robeyns, Edward Milsom, Ben Anson, Nandi Schoots, Laurence Aitchison

Proceedings of the International Conference on Machine Learning, 2023