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12/20/2022
Identifying latent distances with Finslerian geometry
Riemannian geometry provides powerful tools to explore the latent space ...
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11/26/2022
Optimisation of a global climate model ensemble for prediction of extreme heat days
Adaptation-relevant predictions of climate change are often derived by c...
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10/29/2021
Aligned Multi-Task Gaussian Process
Multi-task learning requires accurate identification of the correlations...
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05/10/2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
Deep Gaussian processes (DGPs) have struggled for relevance in applicati...
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10/26/2020
Black-box density function estimation using recursive partitioning
We present a novel approach to Bayesian inference and general Bayesian c...
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01/27/2020
Bayesian nonparametric shared multi-sequence time series segmentation
In this paper, we introduce a method for segmenting time series data usi...
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09/17/2019
Compositional uncertainty in deep Gaussian processes
Gaussian processes (GPs) are nonparametric priors over functions, and fi...
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07/10/2019
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning
In this paper, we present a Bayesian view on model-based reinforcement l...
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06/26/2019
Modulated Bayesian Optimization using Latent Gaussian Process Models
We present an approach to Bayesian Optimization that allows for robust s...
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05/30/2019
Monotonic Gaussian Process Flow
We propose a new framework of imposing monotonicity constraints in a Bay...
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01/30/2019
Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning
This paper presents an approach for learning invariant features for obje...
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12/13/2018
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...
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11/26/2018
Sequence Alignment with Dirichlet Process Mixtures
We present a probabilistic model for unsupervised alignment of high-dime...
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10/16/2018
Multimodal Deep Gaussian Processes
We propose a novel Bayesian approach to modelling multimodal data genera...
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07/12/2018
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
We present a non-parametric Bayesian latent variable model capable of le...
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05/18/2018
Model Inference with Stein Density Ratio Estimation
The Kullback-Leilber divergence from model to data is a classic goodness...
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03/07/2018
Gaussian Process Latent Variable Alignment Learning
We present a model that can automatically learn alignments between high-...
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02/13/2018
Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces
In this work we study the problem of exploring surfaces and building com...
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12/18/2017
Nonparametric Inference for Auto-Encoding Variational Bayes
We would like to learn latent representations that are low-dimensional a...
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10/08/2017
Bayesian Alignments of Warped Multi-Output Gaussian Processes
We present a Bayesian extension to convolution processes which defines a...
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08/11/2017
Neural Translation of Musical Style
Music is an expressive form of communication often used to convey emotio...
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07/18/2017
Latent Gaussian Process Regression
We introduce Latent Gaussian Process Regression which is a latent variab...
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01/12/2017
Manifold Alignment Determination: finding correspondences across different data views
We present Manifold Alignment Determination (MAD), an algorithm for lear...
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06/30/2016
Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model
Unsupervised learning on imbalanced data is challenging because, when gi...
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05/19/2016
Inter-Battery Topic Representation Learning
In this paper, we present the Inter-Battery Topic Model (IBTM). Our appr...
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04/17/2016
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis
Factor analysis aims to determine latent factors, or traits, which summa...
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11/24/2014
Persistent Evidence of Local Image Properties in Generic ConvNets
Supervised training of a convolutional network for object classification...
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01/15/2013
