Russell Tsuchida

PhD Student (Machine Learning)
School of ITEE
University of Queensland, Brisbane, Australia
Email: s.tsuchida_at_uq.edu.au

About

  • Current:

    - PhD student in the School of ITEE at the University of Queensland advised by Assoc. Prof. Marcus Gallagher and Fred Roosta (Submitted!)

  • Soon:

    - Postdoctoral fellow at CSIRO's MLAI Future Science Platform. I am currently working here as a researcher in the interim.

  • News

  • February, 2020:

    Very pleased to share our new work, Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks.

  • November, 2019:

    We have a new paper on arXiv, Richer priors for infinitely wide multi-layer perceptrons.

  • May, 2019:

    I am the co-author of a paper from a successful collaboration with Tim Pearce, Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions, which has been accepted into UAI 2019.

  • May, 2019:

    Our paper Exchangeability and Kernel Invariance in Trained MLPs has been accepted into IJCAI 2019.

  • Publications

  • 2020:

    Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta and Marcus Gallagher. Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. Pre-print.

  • 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.

  • Talks and Presentations

  • Talk at DSDU

    Newcastle, 2019

  • Talk at IJCAI

    Macau, 2019

  • Talk at APS-INFORMS

    Brisbane, Australia, 2019

  • Talk at International Conference on Machine Learning (ICML)

    Stockholm, Sweden, 2018

  • Poster at Geometry in Machine Learning Workshop (GiMLi)

    Stockholm, Sweden, 2018