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Research Output

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Paper
2020

Monotonic Gaussian Process Flow

Ustyuzhaninov, I., Kazlauskaite, I., Ek, C. H. & Campbell, N., 3 Jun 2020.

Research output: Contribution to conferencePaper

Open Access
File
10 Downloads (Pure)

The GAN that Warped: Semantic Attribute Editing with Unpaired Data

Dorta, G., Vicente, S., Campbell, N. & Simpson, I., 2020, (Acceptance date).

Research output: Contribution to conferencePaper

Open Access
File
16 Downloads (Pure)
2019

Compositional Uncertainty in Deep Gaussian Processes

Ustyuzhaninov, I., Kazlauskaite, I., Kaiser, M., Bodin, E., Campbell, N. & Ek, C. H., 13 Dec 2019.

Research output: Contribution to conferencePaper

File
11 Downloads (Pure)

Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions

Toso, M., Campbell, N. & Russell, C., 11 Sep 2019, (Acceptance date).

Research output: Contribution to conferencePaper

File
14 Downloads (Pure)

Gaussian Process Latent Variable Alignment Learning

Kazlauskaite, I., Ek, C. H. & Campbell, N., 16 Apr 2019.

Research output: Contribution to conferencePaper

Open Access
File
3 Downloads (Pure)
2018

DiverseNet: When One Right Answer is not Enough

Firman, M., Campbell, N., Agapito, L. & Brostow, G. J., 20 Mar 2018, (Acceptance date).

Research output: Contribution to conferencePaper

Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation

Di Martino, A., Bodin, E., Ek, C. H. & Campbell, N., 2018.

Research output: Contribution to conferencePaper

Open Access

Sequence Alignment with Dirichlet Process Mixtures

Kazlauskaite, I., Ustyuzhaninov, I., Ek, C. H. & Campbell, N., 12 Nov 2018, (Acceptance date) p. 1-6. 6 p.

Research output: Contribution to conferencePaper

Open Access
File
26 Downloads (Pure)

Structured Uncertainty Prediction Networks

Dorta, G., Vicente, S., Agapito, L., Campbell, N. & Simpson, I., 20 Mar 2018, (Acceptance date). 8 p.

Research output: Contribution to conferencePaper

Open Access
File
77 Downloads (Pure)
2017

Laplacian Pyramid of Conditional Variational Autoencoders

Dorta, G., Vicente, S., Agapito, L., Campbell, N., Prince, S. & Simpson, I., 11 Dec 2017. 9 p.

Research output: Contribution to conferencePaper

File
1 Citation (Scopus)
97 Downloads (Pure)

Latent Structure Learning using Gaussian and Dirichlet Processes

Lawrence, A., Ek, C. H. & Campbell, N., 8 Dec 2017.

Research output: Contribution to conferencePaper

Nonparametric Inference for Auto-Encoding Variational Bayes

Bodin, E., Malik, I., Ek, C. H. & Campbell, N., 8 Dec 2017.

Research output: Contribution to conferencePaper

Responsive Action-Based Video Synthesis

Ilisescu, C., Kanaci, A., Romagnoli, M., Campbell, N. D. F. & Brostow, G. J., 30 Jan 2017, (Acceptance date).

Research output: Contribution to conferencePaper

Open Access
File
129 Downloads (Pure)
2016

Fitting quadrics with a Bayesian prior

Beale, D., Hall, P., Cosker, D., Yang, Y. & Campbell, N., Jun 2016.

Research output: Contribution to conferencePaper

Open Access

Learning Alignments from Latent Space Structures

Kazlauskaite, I., Ek, C. H. & Campbell, N., 9 Dec 2016.

Research output: Contribution to conferencePaper

File
60 Downloads (Pure)
2015

Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction from RGB Video

Yu, R., Russell, C., Campbell, N. & Agapito, L., Dec 2015.

Research output: Contribution to conferencePaper

Open Access
File
37 Citations (Scopus)
99 Downloads (Pure)