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ORCIDMichael T. Smith 0003
Person information
- affiliation: University of Sheffield, Department of Computer Science, UK
Other persons with the same name
- Michael Smith 0005
![[0000-0001-9207-993X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9207-993X")
(aka: Michael T. Smith 0001) — Purdue University, West Lafayette, IN, USA (and 1 more) - Michael T. Smith 0002 — Michigan Technological University, Houghton, MI, USA
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Journal Articles
- 2023
[j2]Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez:
Adversarial vulnerability bounds for Gaussian process classification. Mach. Learn. 112(3): 971-1009 (2023)- 2021
- [j1]Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence:
Differentially Private Regression and Classification with Sparse Gaussian Processes. J. Mach. Learn. Res. 22: 188:1-188:41 (2021)
Conference and Workshop Papers
- 2023
- [c6]Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez:
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions. AISTATS 2023: 8279-8293 - 2022
- [c5]Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard Wilkinson:
Adjoint-aided inference of Gaussian process driven differential equations. NeurIPS 2022 - 2021
- [c4]Magnus Ross, Michael T. Smith, Mauricio A. Álvarez:
Learning Nonparametric Volterra Kernels with Gaussian Processes. NeurIPS 2021: 24099-24110 - 2020
- [c3]Kathrin Grosse, Michael T. Smith, Michael Backes:
Killing Four Birds with one Gaussian Process: The Relation between different Test-Time Attacks. ICPR 2020: 4696-4703 - 2019
- [c2]Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez:
Multi-task Learning for Aggregated Data using Gaussian Processes. NeurIPS 2019: 15050-15060 - 2018
- [c1]Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence:
Differentially Private Regression with Gaussian Processes. AISTATS 2018: 1195-1203
Informal and Other Publications
- 2022
- [i12]Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard D. Wilkinson:
Adjoint-aided inference of Gaussian process driven differential equations. CoRR abs/2202.04589 (2022) - [i11]Michael Thomas Smith, Magnus Ross, Joel Ssematimba, Pablo A. Alvarado, Mauricio A. Álvarez, Engineer Bainomugisha, Richard Wilkinson:
Modelling calibration uncertainty in networks of environmental sensors. CoRR abs/2205.01988 (2022) - [i10]Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez:
Shallow and Deep Nonparametric Convolutions for Gaussian Processes. CoRR abs/2206.08972 (2022) - 2021
- [i9]Magnus Ross, Michael T. Smith, Mauricio A. Álvarez:
Learning Nonparametric Volterra Kernels with Gaussian Processes. CoRR abs/2106.05582 (2021) - 2019
- [i8]Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez:
Multi-task Learning for Aggregated Data using Gaussian Processes. CoRR abs/1906.09412 (2019) - [i7]Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez:
Adversarial Vulnerability Bounds for Gaussian Process Classification. CoRR abs/1909.08864 (2019) - [i6]Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence:
Differentially Private Regression and Classification with Sparse Gaussian Processes. CoRR abs/1909.09147 (2019) - [i5]Michael T. Smith, Joel Ssematimba, Mauricio A. Álvarez, Engineer Bainomugisha:
Machine Learning for a Low-cost Air Pollution Network. CoRR abs/1911.12868 (2019) - 2018
- [i4]Kathrin Grosse, Michael T. Smith, Michael Backes:
Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on Classification. CoRR abs/1806.02032 (2018) - [i3]Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence:
Gaussian Process Regression for Binned Data. CoRR abs/1809.02010 (2018) - [i2]Kathrin Grosse, David Pfaff, Michael T. Smith, Michael Backes:
The Limitations of Model Uncertainty in Adversarial Settings. CoRR abs/1812.02606 (2018) - 2016
- [i1]Michael T. Smith, Max Zwiessele, Neil D. Lawrence:
Differentially Private Gaussian Processes. CoRR abs/1606.00720 (2016)
Coauthor Index
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