John Aston

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 6

Top Topics

Boltzmann Machine

Generative Model

Joint Segmentation

Top Venues

IEEE J. Sel. Top. Signal Process.

SIAM J. Imaging Sci.

J. Mach. Learn. Res.

Publications

Noémie Debroux, John Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola-Bibiane Schönlieb
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis. SIAM J. Imaging Sci. 13 (1) (2020)
Noémie Debroux, John Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola Schönlieb
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis. CoRR (2019)
Yu Wang, Bin Dai, Gang Hua, John Aston, David P. Wipf
Recurrent Variational Autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Bin Dai, Yu Wang, John Aston, Gang Hua, David P. Wipf
Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models. J. Mach. Learn. Res. 19 (2018)
Yu Wang, Bin Dai, Gang Hua, John Aston, David P. Wipf
Green Generative Modeling: Recycling Dirty Data using Recurrent Variational Autoencoders. UAI (2017)
Bin Dai, Yu Wang, John Aston, Gang Hua, David P. Wipf
Veiled Attributes of the Variational Autoencoder. CoRR (2017)
Roman V. Belavkin, Alastair Channon, Elizabeth Aston, John Aston, Rok Krasovec, Christopher G. Knight
Monotonicity of Fitness Landscapes and Mutation Rate Control CoRR (2012)
Roman V. Belavkin, Alastair Channon, Elizabeth Aston, John Aston, Christopher G. Knight
Theory and practice of optimal mutation rate control in hamming spaces of DNA sequences. ECAL (2011)