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Adam X. Yang
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Deep kernel processes
L Aitchison, A Yang, SW Ober
International Conference on Machine Learning, 130-140, 2021
382021
Bayesian low-rank adaptation for large language models
AX Yang, M Robeyns, X Wang, L Aitchison
International Conference on Learning Representations, 2024
82024
A theory of representation learning gives a deep generalisation of kernel methods
AX Yang, M Robeyns, E Milsom, B Anson, N Schoots, L Aitchison
International Conference on Machine Learning, 39380-39415, 2023
72023
MONGOOSE: Path-wise smooth Bayesian optimisation via meta-learning
AX Yang, L Aitchison, HB Moss
arXiv preprint arXiv:2302.11533, 2023
42023
A theory of representation learning in deep neural networks gives a deep generalisation of kernel methods
AX Yang, M Robeyns, E Milsom, N Schoots, L Aitchison
arXiv e-prints, arXiv: 2108.13097, 2021
42021
Bayesian Reward Models for LLM Alignment
AX Yang, M Robeyns, T Coste, J Wang, H Bou-Ammar, L Aitchison
Workshop on Secure and Trustworthy Large Language Models (ICLR 2024), 2024
2024
Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture
A Kormilitzin, X Yang, WH Stone, C Woffindale, F Nicholls, E Ribe, ...
arXiv preprint arXiv:1908.11399, 2019
2019
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