关注
Hippolyt Ritter
Hippolyt Ritter
未知所在单位机构
没有经过验证的电子邮件地址
标题
引用次数
引用次数
年份
A scalable laplace approximation for neural networks
H Ritter, A Botev, D Barber
6th international conference on learning representations, ICLR 2018 …, 2018
3992018
Online structured laplace approximations for overcoming catastrophic forgetting
H Ritter, A Botev, D Barber
Advances in Neural Information Processing Systems 31, 2018
2882018
Practical Gauss-Newton optimisation for deep learning
A Botev, H Ritter, D Barber
International Conference on Machine Learning, 557-565, 2017
2182017
Addressing catastrophic forgetting in few-shot problems
P Yap, H Ritter, D Barber
International Conference on Machine Learning, 11909-11919, 2021
212021
Sparse uncertainty representation in deep learning with inducing weights
H Ritter, M Kukla, C Zhang, Y Li
Advances in Neural Information Processing Systems 34, 6515-6528, 2021
162021
TyXe: Pyro-based Bayesian neural nets for Pytorch
H Ritter, T Karaletsos
Proceedings of Machine Learning and Systems 4, 398-413, 2022
92022
Training set cleansing of backdoor poisoning by self-supervised representation learning
H Wang, S Karami, O Dia, H Ritter, E Emamjomeh-Zadeh, J Chen, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
52023
Black-box coreset variational inference
D Manousakas, H Ritter, T Karaletsos
Advances in Neural Information Processing Systems 35, 34175-34187, 2022
32022
Gaussian mean field regularizes by limiting learned information
J Kunze, L Kirsch, H Ritter, D Barber
Entropy 21 (8), 758, 2019
32019
Scalable approximate inference methods for Bayesian deep learning
JH Ritter
UCL (University College London), 2023
2023
Noisy Information Bottlenecks for Generalization
J Kunze, L Kirsch, H Ritter, D Barber
2018
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