%0 Journal Article %1 krauth2016autogp %A Krauth, Karl %A Bonilla, Edwin V %A Cutajar, Kurt %A Filippone, Maurizio %D 2016 %J arXiv preprint arXiv:1610.05392 %K deep gaussian gp learning mnist network neural process %T AutoGP: Exploring the capabilities and limitations of Gaussian process models

@article{krauth2016autogp, added-at = {2019-05-06T04:21:05.000+0200}, author = {Krauth, Karl and Bonilla, Edwin V and Cutajar, Kurt and Filippone, Maurizio}, biburl = {https://www.bibsonomy.org/bibtex/24372fee62e6427191d5ba48b57f11daa/becker}, description = {https://scholar.googleusercontent.com/scholar.bib?q=info:S5RRVLEvYrAJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAXM-cKv2krnn8IzQtYrPZKhfV8ZCoXELS&scisf=4&ct=citation&cd=0&hl=en&scfhb=1}, interhash = {d11bfa2761c0a2072597d8c1565225b9}, intrahash = {4372fee62e6427191d5ba48b57f11daa}, journal = {arXiv preprint arXiv:1610.05392}, keywords = {deep gaussian gp learning mnist network neural process}, timestamp = {2019-05-06T04:21:05.000+0200}, title = {AutoGP: Exploring the capabilities and limitations of Gaussian process models}, year = 2016 }