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Hippolyt Ritter
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2020 – today
- 2023
- [c8]Hang Wang, Sahar Karami, Ousmane Dia, Hippolyt Ritter, Ehsan Emamjomeh-Zadeh, Jiahui Chen, Zhen Xiang, David J. Miller, George Kesidis:
Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation Learning. ICASSP 2023: 1-5 - 2022
- [c7]Hippolyt Ritter, Theofanis Karaletsos:
TyXe: Pyro-based Bayesian neural nets for Pytorch. MLSys 2022 - [c6]Dionysis Manousakas, Hippolyt Ritter, Theofanis Karaletsos:
Black-box coreset variational inference. NeurIPS 2022 - [i6]Dionysis Manousakas, Hippolyt Ritter, Theofanis Karaletsos:
Black-box Coreset Variational Inference. CoRR abs/2211.02377 (2022) - 2021
- [c5]Pau Ching Yap, Hippolyt Ritter, David Barber:
Addressing Catastrophic Forgetting in Few-Shot Problems. ICML 2021: 11909-11919 - [c4]Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li:
Sparse Uncertainty Representation in Deep Learning with Inducing Weights. NeurIPS 2021: 6515-6528 - [i5]Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li:
Sparse Uncertainty Representation in Deep Learning with Inducing Weights. CoRR abs/2105.14594 (2021) - [i4]Hippolyt Ritter, Theofanis Karaletsos:
TyXe: Pyro-based Bayesian neural nets for Pytorch. CoRR abs/2110.00276 (2021) - 2020
- [i3]Pau Ching Yap, Hippolyt Ritter, David Barber:
Bayesian Online Meta-Learning with Laplace Approximation. CoRR abs/2005.00146 (2020)
2010 – 2019
- 2019
- [j1]Julius Kunze, Louis Kirsch, Hippolyt Ritter, David Barber
:
Gaussian Mean Field Regularizes by Limiting Learned Information. Entropy 21(8): 758 (2019) - [i2]Julius Kunze, Louis Kirsch, Hippolyt Ritter, David Barber:
Gaussian Mean Field Regularizes by Limiting Learned Information. CoRR abs/1902.04340 (2019) - 2018
- [c3]Hippolyt Ritter, Aleksandar Botev, David Barber:
A Scalable Laplace Approximation for Neural Networks. ICLR (Poster) 2018 - [c2]Hippolyt Ritter, Aleksandar Botev, David Barber:
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting. NeurIPS 2018: 3742-3752 - [i1]Hippolyt Ritter, Aleksandar Botev, David Barber:
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting. CoRR abs/1805.07810 (2018) - 2017
- [c1]Aleksandar Botev, Hippolyt Ritter, David Barber:
Practical Gauss-Newton Optimisation for Deep Learning. ICML 2017: 557-565
Coauthor Index
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