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Russell Tsuchida

Russell Tsuchida

Research scientist
Data61-CSIRO, Canberra, Australia
Email: russell.tsuchida_at_data61.csiro.au
My blog

  • Earlier:

    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.



  • News

  • Jan, 2023:

    Our paper about exponential family PCA and deep equilibrium networks has been accepted into AISTATS 2023!

  • May, 2022:

    I am an ICLR 2022 Highlighted reviewer! I also had a great time attending the conference.

  • January, 2022:

    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.

  • December, 2021:

    Gaussian Process Bandits with Aggregated Feedback has been accepted into AAAI 2022 (with a controversially low acceptance rate of 15%).

  • October, 2021:

    Honoured to recieve a NeurIPS 2021 Outstanding Reviewer Award!

  • August, 2021:

    I thoroughly enjoyed working with Mengyan Zhang and Cheng Soon Ong on Gaussian Process Bandits with Aggregated Feedback.


  • Selected publications

  • 2022:

    Russell Tsuchida, , Suk Yee Yong, Ali Armin, Lars Petersson, Cheng Soon Ong. Declarative nets that are equilibrium models. ICLR 2022.

  • 2022:

    Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong. Gaussian Process Bandits with Aggregated Feedback. AAAI 2022.

  • 2021:

    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.

  • 2019:

    Russell Tsuchida, Fred Roosta and Marcus Gallagher. Richer priors for infinitely wide multi-layer perceptrons. Pre-print.

  • 2019:

    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.

  • 2019:

    Russell Tsuchida, Fred Roosta, and Marcus Gallagher. Exchangeability and Kernel Invariance in Trained MLPs. In International Joint Conference on Artificial Intelligence, 2019.

  • 2018:

    Russell Tsuchida, Fred Roosta, and Marcus Gallagher. Invariance of Weight Distributions in Rectified MLPs. In International Conference on Machine Learning, pp. 5002-5011, 2018.


  • Students

  • Simon Little (3 month vacation student. Undergrad at ANU). Summer 2022-2023
  • Mengyan Zhang. (PhD at ANU), co-advised with Cheng Soon Ong, 2020-2022
  • Changkun Ye (PhD at ANU), co-advised with Nick Barnes and Lars Petersson, 2020-