Kurt Cutajar

According to our database1, Kurt Cutajar authored at least 9 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Inherently Interpretable Time Series Classification via Multiple Instance Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Low-Count Time Series Anomaly Detection.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2019
Broadening the scope of gaussian processes for large-scale learning. (Élargir la portée des processus gaussiens pour l'apprentissage à grande échelle).
PhD thesis, 2019

Deep Gaussian Processes for Multi-fidelity Modeling.
CoRR, 2019

2017
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Bayesian Inference of Log Determinants.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Entropic Trace Estimates for Log Determinants.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Random Feature Expansions for Deep Gaussian Processes.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Preconditioning Kernel Matrices.
Proceedings of the 33nd International Conference on Machine Learning, 2016


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