
Blackbox density function estimation using recursive partitioning
We present a novel approach to Bayesian inference and general Bayesian c...
read it

DiverseNet: When One Right Answer is not Enough
Many structured prediction tasks in machine vision have a collection of ...
read it

Compositional uncertainty in deep Gaussian processes
Gaussian processes (GPs) are nonparametric priors over functions, and fi...
read it

Modulated Bayesian Optimization using Latent Gaussian Process Models
We present an approach to Bayesian Optimization that allows for robust s...
read it

Monotonic Gaussian Process Flow
We propose a new framework of imposing monotonicity constraints in a Bay...
read it

Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
The shape of an object is an important characteristic for many vision pr...
read it

The GAN that Warped: Semantic Attribute Editing with Unpaired Data
Deep neural networks have recently been used to edit images with great s...
read it

Sequence Alignment with Dirichlet Process Mixtures
We present a probabilistic model for unsupervised alignment of highdime...
read it

DPGPLVM: A Bayesian NonParametric Model for Learning Multivariate Dependency Structures
We present a nonparametric Bayesian latent variable model capable of le...
read it

Training VAEs Under Structured Residuals
Variational autoencoders (VAEs) are a popular and powerful deep generat...
read it

Gaussian Process Latent Variable Alignment Learning
We present a model that can automatically learn alignments between high...
read it

Structured Uncertainty Prediction Networks
This paper is the first work to propose a network to predict a structure...
read it

Nonparametric Inference for AutoEncoding Variational Bayes
We would like to learn latent representations that are lowdimensional a...
read it

Latent Gaussian Process Regression
We introduce Latent Gaussian Process Regression which is a latent variab...
read it

Responsive Actionbased Video Synthesis
We propose technology to enable a new medium of expression, where video ...
read it

Hierarchical Subquery Evaluation for Active Learning on a Graph
To train good supervised and semisupervised object classifiers, it is c...
read it
Neill D. F. Campbell
is this you? claim profile