Russell Tsuchida
Russell Tsuchida
Research scientist, Data61-CSIRO
Verified email at - Homepage
Cited by
Cited by
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
T Pearce, R Tsuchida, M Zaki, A Brintrup, A Neely
The Conference on Uncertainty in Artificial Intelligence, 2019
Invariance of Weight Distributions in Rectified MLPs
R Tsuchida, F Roosta-Khorasani, M Gallagher
International Conference of Machine Learning, 5002-5011, 2018
Richer priors for infinitely wide multi-layer perceptrons
R Tsuchida, F Roosta, M Gallagher
arXiv preprint arXiv:1911.12927, 2019
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
A Khamis, R Tsuchida, M Tarek, V Rolland, L Petersson
arXiv preprint arXiv:2305.05080, 2023
Avoiding kernel fixed points: Computing with ELU and GELU infinite networks
R Tsuchida, T Pearce, C van der Heide, F Roosta, M Gallagher
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9967-9977, 2021
Deep equilibrium models as estimators for continuous latent variables
R Tsuchida, CS Ong
The 26th International Conference on Artificial Intelligence and Statistics …, 2023
Declarative nets that are equilibrium models
R Tsuchida, SY Yong, MA Armin, L Petersson, CS Ong
International Conference on Learning Representations, 2022
Gaussian process bandits with aggregated feedback
M Zhang, R Tsuchida, CS Ong
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9074-9081, 2022
Squared Neural Families: A New Class of Tractable Density Models
R Tsuchida, CS Ong, D Sejdinovic
Neural Information Processing Systems, 2023
Efficient Gaussian process model on class-imbalanced datasets for generalized zero-shot learning
C Ye, N Barnes, L Petersson, R Tsuchida
2022 26th International Conference on Pattern Recognition (ICPR), 2078-2085, 2022
Exchangeability and Kernel Invariance in Trained MLPs
R Tsuchida, F Roosta-Khorasani, M Gallagher
International Joint Conference on Artificial Intelligence, 3592 - 3598, 2019
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach
C Ye, R Tsuchida, L Petersson, N Barnes
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
Results on infinitely wide multi-layer perceptrons
R Tsuchida
The University of Queensland, 2020
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
R Tsuchida, CS Ong, D Sejdinovic
AAAI Conference on Artificial Intelligence, 2024
Stochastic gradient updates yield deep equilibrium kernels
R Tsuchida, CS Ong
Transactions on Machine Learning Research, 2023
When are equilibrium networks scoring algorithms?
R Tsuchida, CS Ong
NeurIPS 2022 Workshop on Score-Based Methods, 2022
Detecting structured signals in radio telescope data using RKHS
R Tsuchida, SY Yong
Workshop at the 36th conference on Neural Information Processing Systems …, 2022
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