Cutajar, Kurt

6 publications

ICLR 2024 Inherently Interpretable Time Series Classification via Multiple Instance Learning Joseph Early, Gavin Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey

UAI 2017 AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models Karl Krauth, Edwin V. Bonilla, Kurt Cutajar, Maurizio Filippone

UAI 2017 Bayesian Inference of Log Determinants Jack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts

ECML-PKDD 2017 Entropic Trace Estimates for Log Determinants Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts

ICML 2017 Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone

ICML 2016 Preconditioning Kernel Matrices Kurt Cutajar, Michael Osborne, John Cunningham, Maurizio Filippone