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Functional Regularisation for Continual Learning using Gaussian Processes.

M. Titsias, J. Schwarz, A. de G. Matthews, R. Pascanu, and Y. Teh. CoRR, (2019)

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Alexander G Höhne

Giuseppe G G Manzardo

G Wahl

G Bol

G Sawers

Other publications of authors with the same name

Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks.D. Pfau, J. Spencer, A. de G. Matthews, and W. Foulkes. CoRR, (2019)GPflow: A Gaussian process library using TensorFlowA. Matthews, M. van der Wilk, T. Nickson, K. Fujii, A. Boukouvalas, P. León-Villagrá, Z. Ghahramani, and J. Hensman. (2016)cite arxiv:1610.08733.Continual Repeated Annealed Flow Transport Monte Carlo.A. de G. Matthews, M. Arbel, D. Rezende, and A. Doucet. ICML, volume 162 of Proceedings of Machine Learning Research, page 15196-15219. PMLR, (2022)Score-Based Diffusion meets Annealed Importance Sampling.A. Doucet, W. Grathwohl, A. de G. Matthews, and H. Strathmann. NeurIPS, (2022)On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes.A. de G. Matthews, J. Hensman, R. Turner, and Z. Ghahramani. AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 231-239. JMLR.org, (2016)Aspects of scaling and scalability for flow-based sampling of lattice QCD.R. Abbott, M. Albergo, A. Botev, D. Boyda, K. Cranmer, D. Hackett, A. de G. Matthews, S. Racanière, A. Razavi, D. Rezende and 3 other author(s). CoRR, (2022)Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep NetworksJ. Bradshaw, A. Matthews, and Z. Ghahramani. (2017)cite arxiv:1707.02476.MCMC for Variationally Sparse Gaussian Processes.J. Hensman, A. de G. Matthews, M. Filippone, and Z. Ghahramani. NIPS, page 1648-1656. (2015)Annealed Flow Transport Monte Carlo.M. Arbel, A. de G. Matthews, and A. Doucet. ICML, volume 139 of Proceedings of Machine Learning Research, page 318-330. PMLR, (2021)Functional Regularisation for Continual Learning using Gaussian Processes.M. Titsias, J. Schwarz, A. de G. Matthews, R. Pascanu, and Y. Teh. CoRR, (2019)

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Disambiguation of "de G. Matthews, Alexander G."

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Functional Regularisation for Continual Learning using Gaussian Processes.

Please choose a person to relate this publication to

Alexander G Höhne

Giuseppe G G Manzardo

G Wahl

G Bol

G Sawers

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "de G. Matthews, Alexander G."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Functional Regularisation for Continual Learning using Gaussian Processes.

Please choose a person to relate this publication to

Alexander G Höhne

Giuseppe G G Manzardo

G Wahl

G Bol

G Sawers

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
DIN 1505
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Functional Regularisation for Continual Learning using Gaussian Processes.