| Improving Gaussian mixture latent variable model convergence with Optimal Transport. | 0 | 0.34 | 2021 |
| Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks | 0 | 0.34 | 2021 |
| Addressing Catastrophic Forgetting in Few-Shot Problems | 0 | 0.34 | 2021 |
| Learning Disentangled Representations with the Wasserstein Autoencoder | 0 | 0.34 | 2021 |
| HiLLoC: lossless image compression with hierarchical latent variable models | 0 | 0.34 | 2020 |
| Gaussian Mean Field Regularizes by Limiting Learned Information. | 0 | 0.34 | 2019 |
| Practical Lossless Compression with Latent Variables using Bits Back Coding. | 2 | 0.36 | 2019 |
| Improving latent variable descriptiveness by modelling rather than ad-hoc factors. | 0 | 0.34 | 2019 |
| Modular Networks: Learning to Decompose Neural Computation. | 0 | 0.34 | 2018 |
| Improving latent variable descriptiveness with AutoGen. | 0 | 0.34 | 2018 |
| Generative Neural Machine Translation. | 2 | 0.36 | 2018 |
| Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting. | 7 | 0.46 | 2018 |
| A Scalable Laplace Approximation for Neural Networks | 9 | 0.48 | 2018 |
| Tracking By Animation: Unsupervised Learning Of Multi-Object Attentive Trackers | 0 | 0.34 | 2018 |
| Spread Divergences. | 0 | 0.34 | 2018 |
| Generating Sentences Using a Dynamic Canvas. | 2 | 0.38 | 2018 |
| Stochastic Variational Optimization. | 0 | 0.34 | 2018 |
| Gaussian mixture models with Wasserstein distance. | 1 | 0.43 | 2018 |
| Thinking Fast and Slow with Deep Learning and Tree Search. | 21 | 0.99 | 2017 |
| Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning. | 4 | 0.40 | 2017 |
| Practical Gauss-Newton Optimisation for Deep Learning. | 11 | 0.67 | 2017 |
| Approximate Newton Methods for Policy Search in Markov Decision Processes. | 0 | 0.34 | 2016 |
| Topic Factor Models: Uncovering Thematic Structure In Equity Market Data | 0 | 0.34 | 2015 |
| On solving Ordinary Differential Equations using Gaussian Processes. | 0 | 0.34 | 2014 |
| Keep Taking the Tablets: Integrating the Mobile in Work-Based Learning. | 0 | 0.34 | 2014 |
| Optimization by Variational Bounding. | 2 | 0.43 | 2013 |
| Gaussian Kullback-Leibler approximate inference | 13 | 0.81 | 2013 |
| A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes. | 9 | 0.64 | 2012 |
| Affine Independent Variational Inference. | 6 | 0.73 | 2012 |
| Variational Optimization | 0 | 0.34 | 2012 |
| On the Computational Complexity of Stochastic Controller Optimization in POMDPs | 10 | 0.55 | 2011 |
| Efficient Inference in Markov Control Problems | 3 | 0.60 | 2011 |
| Switch-Reset Models : Exact and Approximate Inference. | 1 | 0.35 | 2011 |
| Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models | 0 | 0.34 | 2011 |
| Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models. | 13 | 0.91 | 2011 |
| Lagrange dual decomposition for finite horizon Markov decision processes | 3 | 0.52 | 2011 |
| Variational methods for Reinforcement Learning | 0 | 0.34 | 2010 |
| Variational methods for Reinforcement Learning | 17 | 1.00 | 2010 |
| Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition | 1 | 0.36 | 2007 |
| Switching Linear Dynamical Systems for Noise Robust Speech Recognition | 31 | 1.60 | 2007 |
| Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems | 33 | 2.49 | 2006 |
| A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems | 4 | 0.58 | 2006 |
| EEG classification using generative independent component analysis | 7 | 0.65 | 2006 |
| Tagging of name records for genealogical data browsing | 4 | 0.56 | 2006 |
| Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. | 81 | 4.72 | 2006 |
| Kernelized Infomax Clustering | 5 | 0.44 | 2005 |
| generative independent component analysis for EEG classification | 2 | 1.15 | 2005 |
| Auxiliary variational information maximization for dimensionality reduction | 1 | 0.37 | 2005 |
| A graphical model for chord progressions embedded in a psychoacoustic space | 9 | 0.91 | 2005 |
| Variational Information Maximization for Neural Coding | 1 | 0.36 | 2004 |
