Artigos com autorizações de acesso público - Mark van der WilkSaiba mais
20 artigos disponíveis publicamente
GPflow: A Gaussian process library using TensorFlow
AGG Matthews, M van der Wilk, T Nickson, K Fujii, A Boukouvalas, ...
Journal of Machine Learning Research 18 (1), 1299-1304, 2017
Autorizações: UK Engineering and Physical Sciences Research Council
Concrete problems for autonomous vehicle safety: Advantages of Bayesian deep learning
R McAllister, Y Gal, A Kendall, M van der Wilk, A Shah, R Cipolla, ...
International Joint Conferences on Artificial Intelligence, Inc., 2017
Autorizações: UK Engineering and Physical Sciences Research Council
Convolutional Gaussian Processes
M van der Wilk, CE Rasmussen, J Hensman
Advances in Neural Information Processing Systems, 2845-2854, 2017
Autorizações: UK Engineering and Physical Sciences Research Council
Stochastic segmentation networks: Modelling spatially correlated aleatoric uncertainty
M Monteiro, LL Folgoc, DC de Castro, N Pawlowski, B Marques, ...
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
Autorizações: UK Engineering and Physical Sciences Research Council, European Commission
The promises and pitfalls of deep kernel learning
SW Ober, CE Rasmussen, M van der Wilk
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial …, 2021
Autorizações: Bill & Melinda Gates Foundation
On the benefits of invariance in neural networks
C Lyle, M van der Wilk, M Kwiatkowska, Y Gal, B Bloem-Reddy
arXiv preprint arXiv:2005.00178, 2020
Autorizações: European Commission
Speedy performance estimation for neural architecture search
R Ru, C Lyle, L Schut, M Fil, M van der Wilk, Y Gal
Advances in Neural Information Processing Systems 34, 4079-4092, 2021
Autorizações: UK Engineering and Physical Sciences Research Council
Invariance learning in deep neural networks with differentiable laplace approximations
A Immer, T van der Ouderaa, G Rätsch, V Fortuin, M van der Wilk
Advances in Neural Information Processing Systems 35, 12449-12463, 2022
Autorizações: Swiss National Science Foundation
Data augmentation in Bayesian neural networks and the cold posterior effect
S Nabarro, S Ganev, A Garriga-Alonso, V Fortuin, M van der Wilk, ...
Uncertainty in Artificial Intelligence, 1434-1444, 2022
Autorizações: Swiss National Science Foundation
Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization
JP Folch, RM Lee, B Shafei, D Walz, C Tsay, M van der Wilk, R Misener
Computers & Chemical Engineering 172, 108194, 2023
Autorizações: UK Engineering and Physical Sciences Research Council
Last layer marginal likelihood for invariance learning
P Schwöbel, M Jørgensen, SW Ober, M Van Der Wilk
International Conference on Artificial Intelligence and Statistics, 3542-3555, 2022
Autorizações: Bill & Melinda Gates Foundation, Carlsberg Foundation DK
BNNpriors: A library for Bayesian neural network inference with different prior distributions
V Fortuin, A Garriga-Alonso, M van der Wilk, L Aitchison
Software Impacts 9, 100079, 2021
Autorizações: UK Engineering and Physical Sciences Research Council
SnAKe: Bayesian optimization with pathwise exploration
JP Folch, S Zhang, R Lee, B Shafei, D Walz, C Tsay, M van der Wilk, ...
Advances in Neural Information Processing Systems 35, 35226-35239, 2022
Autorizações: UK Engineering and Physical Sciences Research Council
Correlated weights in infinite limits of deep convolutional neural networks
A Garriga-Alonso, M van der Wilk
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial …, 2021
Autorizações: UK Engineering and Physical Sciences Research Council
Transition constrained Bayesian optimization via Markov decision processes
JP Folch, C Tsay, R Lee, B Shafei, W Ormaniec, A Krause, M van der Wilk, ...
Advances in Neural Information Processing Systems 37, 88194-88235, 2024
Autorizações: UK Engineering and Physical Sciences Research Council, European Commission
Numerically stable sparse gaussian processes via minimum separation using cover trees
A Terenin, DR Burt, A Artemev, S Flaxman, M van der Wilk, ...
Journal of Machine Learning Research 25 (26), 1-36, 2024
Autorizações: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Time-varying functional connectivity as Wishart processes
OP Kampman, J Ziminski, S Afyouni, M van der Wilk, Z Kourtzi
Imaging Neuroscience 2, 1-28, 2024
Autorizações: UK Biotechnology and Biological Sciences Research Council, Wellcome Trust …
Competitive Amplification Networks enable molecular pattern recognition with PCR
JP Goertz, R Sedgwick, F Smith, M Kaforou, VJ Wright, JA Herberg, ...
bioRxiv, 2023.06. 29.546934, 2023
Autorizações: US National Institutes of Health, UK Engineering and Physical Sciences …
Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays
R Sedgwick, JP Goertz, MM Stevens, R Misener, M van der Wilk
Biotechnology and Bioengineering 122 (1), 189-210, 2025
Autorizações: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays
R Sedgwick, JP Goertz, MM Stevens, R Misener, M van der Wilk
Arxiv, arXiv: 2402.17704 v2, 2024
Autorizações: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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