Kurt Cutajar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Gaussian Process

Top Venues

Publications

Joseph Early, Gavin K. C. Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey
Inherently Interpretable Time Series Classification via Multiple Instance Learning. ICLR (2024)
Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin K. C. Cheung, Hanting Xie
Low-count Time Series Anomaly Detection. CoRR (2023)
Joseph Early, Gavin K. C. Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey
Inherently Interpretable Time Series Classification via Multiple Instance Learning. CoRR (2023)
Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin K. C. Cheung, Hanting Xie
Low-Count Time Series Anomaly Detection. MLSP (2023)
Kurt Cutajar, Mark Pullin, Andreas C. Damianou, Neil D. Lawrence, Javier González
Deep Gaussian Processes for Multi-fidelity Modeling. CoRR (2019)
Karl Krauth, Edwin V. Bonilla, Kurt Cutajar, Maurizio Filippone
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models. UAI (2017)
Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts
Entropic Trace Estimates for Log Determinants. CoRR (2017)
Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone
Random Feature Expansions for Deep Gaussian Processes. ICML (2017)
Jack K. Fitzsimons, Kurt Cutajar, Michael A. Osborne, Stephen J. Roberts, Maurizio Filippone
Bayesian Inference of Log Determinants. CoRR (2017)
Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts
Entropic Trace Estimates for Log Determinants. ECML/PKDD (1) (2017)
Jack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts
Bayesian Inference of Log Determinants. UAI (2017)
Kurt Cutajar, Michael A. Osborne, John P. Cunningham, Maurizio Filippone
Preconditioning Kernel Matrices. ICML (2016)