Matthews, Alexander G. de G.

1. Gaussian Process Behaviour in Wide Deep Neural Networks
   2018/04/30 by Matthews, Alexander G. de G., Rowland, Mark, Hron, Jiri +2 · 20 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. GPflow: A Gaussian process library using TensorFlow
   2016/10/27 by Alexander Matthews, Mark van der Wilk, Matthews, Alexander G. de G. +13 · 13 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
3. Functional Regularisation for Continual Learning with Gaussian Processes
   2019/01/31 by Michalis K. Titsias, Titsias, Michalis K., Jonathan Schwarz +7 · 15 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
4. MCMC for Variationally Sparse Gaussian Processes
   2015/06/12 by Hensman, James, Matthews, Alexander G. de G., Filippone, Maurizio +1 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (stat.ML)
5. Variational Bayesian dropout: pitfalls and fixes
   2018/07/05 by Jiri Hron, Hron, Jiri, Alexander Matthews +3 · 3 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Blind Source Separation Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Variational Gaussian Dropout is not Bayesian
   2017/11/08 by Jiri Hron, Alexander Matthews, Hron, Jiri +3 · 2 citations
   Computer Science · Decision Sciences · #Data Stream Mining Techniques #FOS: Computer and information sciences #Forecasting Techniques and Applications #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
7. On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes
   2015/04/27 by Matthews, Alexander G. de G., Hensman, James, Turner, Richard E. +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (stat.ML)
8. Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
   2017/07/08 by Bradshaw, John, Matthews, Alexander G. de G., Ghahramani, Zoubin · 1 citation
   #FOS: Computer and information sciences #Machine Learning (stat.ML)