| Two-way Sparse Network Inference for Count Data | 0 | 0.34 | 2022 |
| Differentially Private Regression And Classification With Sparse Gaussian Processes | 0 | 0.34 | 2021 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. | 0 | 0.34 | 2020 |
| Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes | 0 | 0.34 | 2020 |
| Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design. | 0 | 0.34 | 2019 |
| Meta-Surrogate Benchmarking for Hyperparameter Optimization. | 0 | 0.34 | 2019 |
| Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients. | 2 | 0.35 | 2019 |
| Continual Learning in Practice. | 0 | 0.34 | 2019 |
| Intrinsic Gaussian processes on complex constrained domains | 1 | 0.35 | 2018 |
| Data Readiness Levels. | 0 | 0.34 | 2017 |
| Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. | 5 | 0.42 | 2017 |
| Preferential Bayesian Optimization. | 0 | 0.34 | 2017 |
| Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. | 0 | 0.34 | 2017 |
| Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model. | 0 | 0.34 | 2016 |
| Recurrent Gaussian Processes | 0 | 0.34 | 2016 |
| Chained Gaussian Processes. | 7 | 0.59 | 2016 |
| The Emergence of Organizing Structure in Conceptual Representation. | 0 | 0.34 | 2016 |
| Batch Bayesian Optimization via Local Penalization. | 0 | 0.34 | 2016 |
| Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes. | 0 | 0.34 | 2016 |
| iCub Visual Memory Inspector: Visualising the iCub's Thoughts. | 1 | 0.35 | 2016 |
| Detecting periodicities with Gaussian processes. | 1 | 0.35 | 2016 |
| GLASSES: Relieving The Myopia Of Bayesian Optimisation | 10 | 0.60 | 2016 |
| Variational Auto-encoded Deep Gaussian Processes | 21 | 0.78 | 2015 |
| Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes. | 0 | 0.34 | 2015 |
| Spike and Slab Gaussian Process Latent Variable Models | 1 | 0.35 | 2015 |
| A reverse-engineering approach to dissect post-translational modulators of transcription factor’s activity from transcriptional data | 0 | 0.34 | 2015 |
| Semi-described and semi-supervised learning with Gaussian processes | 4 | 0.43 | 2015 |
| Recurrent Gaussian Processes | 0 | 0.34 | 2015 |
| A Top-Down Approach for a Synthetic Autobiographical Memory System | 3 | 0.44 | 2015 |
| Hybrid Discriminative-Generative Approach with Gaussian Processes. | 1 | 0.36 | 2014 |
| Gaussian Processes for Natural Language Processing. | 1 | 0.36 | 2014 |
| Inference of RNA Polymerase II Transcription Dynamics from Chromatin Immunoprecipitation Time Course Data. | 1 | 0.37 | 2014 |
| Metrics For Probabilistic Geometries | 3 | 0.45 | 2014 |
| Gaussian Process Models with Parallelization and GPU acceleration. | 8 | 0.51 | 2014 |
| Variational Inference for Uncertainty on the Inputs of Gaussian Process Models. | 6 | 0.63 | 2014 |
| Fast variational inference for nonparametric clustering of structured time-series. | 0 | 0.34 | 2014 |
| Linear Latent Force Models Using Gaussian Processes | 25 | 1.36 | 2013 |
| Detecting regulatory gene-environment interactions with unmeasured environmental factors. | 2 | 0.38 | 2013 |
| The Bigraphical Lasso. | 0 | 0.34 | 2013 |
| Preface: Intelligent interactive data visualization | 1 | 0.35 | 2013 |
| Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters. | 17 | 0.73 | 2013 |
| Gaussian Processes for Big Data. | 142 | 5.13 | 2013 |
| Manifold Relevance Determination | 13 | 1.22 | 2012 |
| Overlapping Mixtures of Gaussian Processes for the data association problem | 25 | 1.15 | 2012 |
| Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison. | 7 | 0.55 | 2012 |
| Modeling Meiotic Chromosomes Indicates a Size Dependent Contribution of Telomere Clustering and Chromosome Rigidity to Homologue Juxtaposition. | 1 | 0.63 | 2012 |
| Fast Variational Inference in the Conjugate Exponential Family | 7 | 0.74 | 2012 |
| Evaluation of marginal likelihoods via the density of states. | 0 | 0.34 | 2012 |
| Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models | 4 | 0.43 | 2012 |
| Residual Component Analysis | 0 | 0.34 | 2012 |
