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Thomas Baldwin-McDonald
Thomas Baldwin-McDonald
Other namesThomas M. McDonald
Senior Machine Learning Technologist, Ofcom
Verified email at ofcom.org.uk - Homepage
Title
Cited by
Cited by
Year
Compositional modeling of nonlinear dynamical systems with ODE-based random features
T McDonald, M Álvarez
Advances in Neural Information Processing Systems 34, 13809-13819, 2021
142021
The University of Sheffield at CheckThat! 2020: Claim Identification and Verification on Twitter.
TM McDonald, ZQ Dong, Y Zhang, R Hampson, J Young, Q Cao, ...
CLEF (Working Notes), 2020
142020
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
TM McDonald, L Maystre, M Lalmas, D Russo, K Ciosek
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
92023
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning
T Baldwin-McDonald, MA Álvarez
arXiv preprint arXiv:2311.14828, 2023
12023
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions
TM McDonald, M Ross, MT Smith, MA Álvarez
International Conference on Artificial Intelligence and Statistics, 8279-8293, 2023
12023
Shallow and Deep Nonparametric Convolutions for Gaussian Processes
TM McDonald, M Ross, MT Smith, MA Álvarez
arXiv preprint arXiv:2206.08972, 2022
12022
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
X Shi, T Baldwin-McDonald, MA Álvarez
arXiv preprint arXiv:2407.01856, 2024
2024
Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes
L Schobs, TM McDonald, H Lu
International Workshop on Uncertainty for Safe Utilization of Machine …, 2023
2023
One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian Manifolds.
S Pathak, TM McDonald, R Penne
CoRR, 2023
2023
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