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Dr Christopher Van Der Heide

Honorary Research Fellow
School of Mathematics and Physics
c.vanderheide@uq.edu.au
Building 69, Room 705

Publications

Journal Articles (2)
Conference Papers (4)
Thesis (1)

Journal Articles

Hawkins, Tracey, Greenslade, Jaimi H., Suna, Jessica, Williams, Julian, Jensen, Matthew, Donohue, Maria, Ho, Elizabeth, Van Hise, Christopher, Egerton-Warburton, Diana and Cullen, Louise (2017). Peripheral Intravenous Cannula Insertion and Use in the Emergency Department; an Intervention Study. Academic Emergency Medicine , 25 (1), 26-32. doi: 10.1111/acem.13335
Van Hise, Christopher B., Greenslade, Jaimi H., Parsonage, William, Than, Martin, Young, Joanna and Cullen, Louise (2017). External validation of heart-type fatty acid binding protein, high-sensitivity cardiac troponin, and electrocardiography as rule-out for acute myocardial infarction. Clinical Biochemistry, 52, 161-163. doi: 10.1016/j.clinbiochem.2017.10.001

Conference Papers

van der Heide, Chris, Hodgkinson, Liam, Roosta, Fred and Kroese, Dirk (2021). Shadow Manifold Hamiltonian Monte Carlo. International Conference on Artificial Intelligence and Statistics, Online, 27-30- July 2021. Tempe, AZ United States: ML Research Press.
Tsuchida, Russell, Pearce, Tim, van der Heide, Chris, Roosta, Fred and Gallagher, Marcus (2021). Avoiding kernel fixed points: Computing with ELU and GELU infinite networks. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Online, 2 - 9 February 2021. Menlo Park, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v35i11.17197
Tsuchida, Russell, Pearce, Tim, van der Heide, Chris, Roosta, Fred and Gallagher, Marcus (2021). Avoiding kernel fixed points: computing with ELU and GELU infinite networks. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, Electr Network, 2-9 February 2021. Washington, DC, United States: Association for the Advancement of Artificial Intelligence.
Hodgkinson, Liam, van der Heide, Chris, Roosta, Fred and Mahoney, Michael W. (2021). Stochastic continuous normalizing flows: training SDEs as ODEs. Conference on Uncertainty in Artificial Intelligence, Online, 27-29 July 2021. San Diego, CA, United States: Association For Uncertainty in Artificial Intelligence (AUAI).

Thesis

van der Heide, Christopher (2016). Regularity results for nonlinear elliptic systems. PhD Thesis, School of Mathematics and Physics, The University of Queensland. doi: 10.14264/uql.2017.30

Areas of research

Geometric and nonlinear analysis
Pure mathematics
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