Michael T. Smith

12 papers A* 2A 2B 1Journal 7

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Nonparametric Gaussian Process Covariances via Multidimensional Convolutions. AISTATS Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
2022	A*	`conf`	Adjoint-aided inference of Gaussian process driven differential equations. NeurIPS Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard Wilkinson
2022	J	`jnl`	Adjoint-aided inference of Gaussian process driven differential equations. CoRR Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard D. Wilkinson
2022	J	`jnl`	Shallow and Deep Nonparametric Convolutions for Gaussian Processes. CoRR Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
2021	A*	`conf`	Learning Nonparametric Volterra Kernels with Gaussian Processes. NeurIPS Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
2021	J	`jnl`	Learning Nonparametric Volterra Kernels with Gaussian Processes. CoRR Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
2020	B	`conf`	Killing Four Birds with one Gaussian Process: The Relation between different Test-Time Attacks. ICPR Kathrin Grosse, Michael T. Smith, Michael Backes
2019	J	`jnl`	Machine Learning for a Low-cost Air Pollution Network. CoRR Michael T. Smith, Joel Ssematimba, Mauricio A. Álvarez, Engineer Bainomugisha
2018	A	`conf`	Differentially Private Regression with Gaussian Processes. AISTATS Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence
2018	J	`jnl`	Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on Classification. CoRR Kathrin Grosse, Michael T. Smith, Michael Backes
2018	J	`jnl`	The Limitations of Model Uncertainty in Adversarial Settings. CoRR Kathrin Grosse, David Pfaff, Michael T. Smith, Michael Backes
2016	J	`jnl`	Differentially Private Gaussian Processes. CoRR Michael T. Smith, Max Zwiessele, Neil D. Lawrence