2020 - 2022 Postdoctoral Research Fellow (Machine Learning) MLAI Future Science Platform, Data61
2017 - 2020 PhD student in the School of ITEE at the University of Queensland advised by Assoc. Prof. Marcus Gallagher and Fred Roosta.
Our paper about exponential family PCA and deep equilibrium networks has been accepted into AISTATS 2023!
I am an ICLR 2022 Highlighted reviewer! I also had a great time attending the conference.
Our paper about a connection between Deep Equilibrium models and Deep Declarative networks has been accepted into ICLR 2022! You can read the submission and reviews here.
Gaussian Process Bandits with Aggregated Feedback has been accepted into AAAI 2022 (with a controversially low acceptance rate of 15%).
Honoured to recieve a NeurIPS 2021 Outstanding Reviewer Award!
I thoroughly enjoyed working with Mengyan Zhang and Cheng Soon Ong on Gaussian Process Bandits with Aggregated Feedback.
Russell Tsuchida, , Suk Yee Yong, Ali Armin, Lars Petersson, Cheng Soon Ong. Declarative nets that are equilibrium models. ICLR 2022.
Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong. Gaussian Process Bandits with Aggregated Feedback. AAAI 2022.
Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta and Marcus Gallagher. Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. AAAI 2021.
Russell Tsuchida, Fred Roosta and Marcus Gallagher. Richer priors for infinitely wide multi-layer perceptrons. Pre-print.
Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup and Andy Neely. Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. In Conference on Uncertainty in Artificial Intelligence, 2019.
Russell Tsuchida, Fred Roosta, and Marcus Gallagher. Exchangeability and Kernel Invariance in Trained MLPs. In International Joint Conference on Artificial Intelligence, 2019.
Russell Tsuchida, Fred Roosta, and Marcus Gallagher. Invariance of Weight Distributions in Rectified MLPs. In International Conference on Machine Learning, pp. 5002-5011, 2018.