Ben Anson

13 papers A* 4A 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Controlling changes to attention logits. CoRR Ben Anson, Laurence Aitchison
2025	J	`jnl`	Flexible Infinite-Width Graph Convolutional Neural Networks. Trans. Mach. Learn. Res. Ben Anson, Edward Milsom, Laurence Aitchison
2025	A*	`conf`	Function-Space Learning Rates. ICML Edward Milsom, Ben Anson, Laurence Aitchison
2025	J	`jnl`	Function-Space Learning Rates. CoRR Edward Milsom, Ben Anson, Laurence Aitchison
2025	J	`jnl`	Scale-invariant Attention. CoRR Ben Anson, Xi Wang, Laurence Aitchison
2024	A*	`conf`	Convolutional Deep Kernel Machines. ICLR Edward Milsom, Ben Anson, Laurence Aitchison
2024	J	`jnl`	Flexible infinite-width graph convolutional networks and the importance of representation learning. CoRR Ben Anson, Edward Milsom, Laurence Aitchison
2024	A*	`conf`	Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines. NeurIPS Edward Milsom, Ben Anson, Laurence Aitchison
2024	J	`jnl`	Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines. CoRR Edward Milsom, Ben Anson, Laurence Aitchison
2023	A*	`conf`	A theory of representation learning gives a deep generalisation of kernel methods. ICML Adam X. Yang, Maxime Robeyns, Edward Milsom, Ben Anson, Nandi Schoots, Laurence Aitchison
2023	J	`jnl`	An Improved Variational Approximate Posterior for the Deep Wishart Process. CoRR Sebastian W. Ober, Ben Anson, Edward Milsom, Laurence Aitchison
2023	A	`conf`	An improved variational approximate posterior for the deep Wishart process. UAI Sebastian W. Ober, Ben Anson, Edward Milsom, Laurence Aitchison
2023	J	`jnl`	Convolutional Deep Kernel Machines. CoRR Edward Milsom, Ben Anson, Laurence Aitchison