| 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 | 74 | 2019 |
| Scalable optimal transport methods in machine learning: A contemporary survey A Khamis, R Tsuchida, M Tarek, V Rolland, L Petersson IEEE transactions on pattern analysis and machine intelligence, 2024 | 55* | 2024 |
| Invariance of Weight Distributions in Rectified MLPs R Tsuchida, F Roosta-Khorasani, M Gallagher International Conference of Machine Learning, 5002-5011, 2018 | 42 | 2018 |
| 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 | 19 | 2024 |
| Squared Neural Families: A New Class of Tractable Density Models R Tsuchida, CS Ong, D Sejdinovic Neural Information Processing Systems, 2023 | 15 | 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 | 15 | 2021 |
| Richer priors for infinitely wide multi-layer perceptrons R Tsuchida, F Roosta, M Gallagher arXiv preprint arXiv:1911.12927, 2019 | 15 | 2019 |
| Deep equilibrium models as estimators for continuous latent variables R Tsuchida, CS Ong The 26th International Conference on Artificial Intelligence and Statistics …, 2023 | 9 | 2023 |
| 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 | 9 | 2022 |
| Declarative nets that are equilibrium models R Tsuchida, SY Yong, MA Armin, L Petersson, CS Ong International Conference on Learning Representations, 2022 | 7 | 2022 |
| Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families R Tsuchida, CS Ong, D Sejdinovic AAAI Conference on Artificial Intelligence, 2024 | 6 | 2024 |
| Improving 3D Reconstruction Through RGB-D Sensor Noise Modeling F Afzal Maken, S Muthu, C Nguyen, C Sun, J Tong, S Wang, R Tsuchida, ... Sensors 25 (3), 950, 2025 | 5 | 2025 |
| 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 | 4 | 2022 |
| Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems D MacKinlay, R Tsuchida, D Pagendam, P Kuhnert International Conference on Learning Representations, 2025 | 3 | 2025 |
| Label Distribution Learning using the Squared Neural Family on the Probability Simplex D Zhang, R Tsuchida, D Sejdinovic arXiv preprint arXiv:2412.07324, 2024 | 3 | 2024 |
| When are equilibrium networks scoring algorithms? R Tsuchida, CS Ong NeurIPS 2022 Workshop on Score-Based Methods, 2022 | 2 | 2022 |
| Exchangeability and Kernel Invariance in Trained MLPs R Tsuchida, F Roosta-Khorasani, M Gallagher International Joint Conference on Artificial Intelligence, 3592 - 3598, 2019 | 2 | 2019 |
| Squared families: Searching beyond regular probability models R Tsuchida, J Liu, CS Ong, D Sejdinovic arXiv preprint arXiv:2503.21128, 2025 | 1 | 2025 |
| Open Set Label Shift with Test Time Out-of-Distribution Reference C Ye, R Tsuchida, L Petersson, N Barnes Conference on Computer Vision and Pattern Recognition, 2025 | 1 | 2025 |
| Results on infinitely wide multi-layer perceptrons R Tsuchida The University of Queensland, 2020 | 1 | 2020 |
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
