Michael T. Smith

According to our database, Michael T. Smith authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adversarial vulnerability bounds for Gaussian process classification.

Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez

Mach. Learn., March, 2023

Nonparametric Gaussian Process Covariances via Multidimensional Convolutions.

Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Shallow and Deep Nonparametric Convolutions for Gaussian Processes.

Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez

CoRR, 2022

Modelling calibration uncertainty in networks of environmental sensors.

Michael Thomas Smith, Magnus Ross, Joel Ssematimba, Pablo A. Alvarado, Mauricio A. Álvarez, Engineer Bainomugisha, Richard Wilkinson

CoRR, 2022

Adjoint-aided inference of Gaussian process driven differential equations.

Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard Wilkinson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Differentially Private Regression and Classification with Sparse Gaussian Processes.

Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence

J. Mach. Learn. Res., 2021

Learning Nonparametric Volterra Kernels with Gaussian Processes.

Magnus Ross, Michael T. Smith, Mauricio A. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Killing Four Birds with one Gaussian Process: The Relation between different Test-Time Attacks.

Kathrin Grosse, Michael T. Smith, Michael Backes

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Machine Learning for a Low-cost Air Pollution Network.

Michael T. Smith, Joel Ssematimba, Mauricio A. Álvarez, Engineer Bainomugisha

CoRR, 2019

Multi-task Learning for Aggregated Data using Gaussian Processes.

Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The Limitations of Model Uncertainty in Adversarial Settings.

Kathrin Grosse, David Pfaff, Michael T. Smith, Michael Backes

CoRR, 2018

Gaussian Process Regression for Binned Data.

Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence

CoRR, 2018

Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on Classification.

Kathrin Grosse, Michael T. Smith, Michael Backes

CoRR, 2018

Differentially Private Regression with Gaussian Processes.

Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Differentially Private Gaussian Processes.

Michael T. Smith, Max Zwiessele, Neil D. Lawrence

CoRR, 2016