Shakir Mohamed

发表

Levels of Analysis for Machine Learning pdf

Jessica B. Hamrick, Jessica Hamrick, Shakir Mohamed, 2020, ArXiv.

The Cramer Distance as a Solution to Biased Wasserstein Gradients pdf

Marc G. Bellemare, Rémi Munos, Stephan Hoyer, 2017, ArXiv.

Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version

Marc Peter Deisenroth, Shakir Mohamed, 2012 .

Incremental Learning for Classification of Protein Sequences

Tshilidzi Marwala, Shakir Mohamed, David M. Rubin, 2007, 2007 International Joint Conference on Neural Networks.

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Daan Wierstra, Shakir Mohamed, Danilo Jimenez Rezende, 2014, ICML.

An Extension Neural Network and Genetic Algorithm for Bearing Fault Classification

Tshilidzi Marwala, Shakir Mohamed, Thando Tettey, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Bayesian and L$_\mathbf{1}$ Approaches to Sparse Unsupervised Learning

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2011 .

Bayesian and L1 Approaches to Sparse Unsupervised Learning pdf

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2011, ICML 2012.

Multi-class Protein Sequence Classification Using Fuzzy ARTMAP

Tshilidzi Marwala, Shakir Mohamed, David M. Rubin, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2011, ICML.

An Adaptive Strategy for the Classification of G-Protein Coupled Receptors pdf

Tshilidzi Marwala, Shakir Mohamed, David M. Rubin, 2007, ArXiv.

Unsupervised Predictive Memory in a Goal-Directed Agent pdf

Joel Z. Leibo, Demis Hassabis, Koray Kavukcuoglu, 2018, ArXiv.

Recurrent Environment Simulators pdf

Daan Wierstra, Shakir Mohamed, Silvia Chiappa, 2017, ICLR.

Early Visual Concept Learning with Unsupervised Deep Learning pdf

Charles Blundell, Benigno Uria, Shakir Mohamed, 2016, ArXiv.

Variational Inference with Normalizing Flows

Shakir Mohamed, Danilo Jimenez Rezende, S. Mohamed, 2015, ICML.

Distribution Matching in Variational Inference pdf

Shakir Mohamed, Balaji Lakshminarayanan, Mihaela Rosca, 2018, ArXiv.

Monte Carlo Gradient Estimation in Machine Learning pdf

Michael Figurnov, Shakir Mohamed, Andriy Mnih, 2019, J. Mach. Learn. Res..

A review of radar-based nowcasting of precipitation and applicable machine learning techniques pdf

Dmitry Kangin, Shakir Mohamed, Suman V. Ravuri, 2020, ArXiv.

One-Shot Generalization in Deep Generative Models

Daan Wierstra, Karol Gregor, Ivo Danihelka, 2016, ICML.

Variational Approaches for Auto-Encoding Generative Adversarial Networks pdf

Shakir Mohamed, David Warde-Farley, Balaji Lakshminarayanan, 2017, ArXiv.

Generalised Bayesian matrix factorisation models

Shakir Mohamed, S. Mohamed, 2011 .

Adaptive Hamiltonian and Riemann manifold Monte Carlo samplers

Nando de Freitas, Shakir Mohamed, ziyu wang, 2013, ICML 2013.

Probabilistic non-negative tensor factorization using Markov chain Monte Carlo

Mikkel N. Schmidt, Shakir Mohamed, S. Mohamed, 2009, 2009 17th European Signal Processing Conference.

Partial Membership and Factor Analysis

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2014, Handbook of Mixed Membership Models and Their Applications.

Adaptive Hamiltonian and Riemann Manifold Monte Carlo

Nando de Freitas, Ziyu Wang, Shakir Mohamed, 2013, ICML.

Stochastic Back-propagation and Variational Inference in Deep Latent Gaussian Models pdf

Daan Wierstra, Shakir Mohamed, Danilo Jimenez Rezende, 2014, ArXiv.

A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models

Mohammad Emtiyaz Khan, Kevin P. Murphy, Benjamin M. Marlin, 2012, AISTATS.

Learning in Implicit Generative Models pdf

Shakir Mohamed, Balaji Lakshminarayanan, S. Mohamed, 2016, ArXiv.

Expectation Propagation in Gaussian Process Dynamical Systems

Marc Peter Deisenroth, Shakir Mohamed, M. Deisenroth, 2012, NIPS.

Bayesian Exponential Family PCA

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2008, NIPS.

Learning Implicit Generative Models with the Method of Learned Moments pdf

Oriol Vinyals, Shakir Mohamed, Suman V. Ravuri, 2018, ICML.

Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning

Shakir Mohamed, Danilo Jimenez Rezende, S. Mohamed, 2015, NIPS.

Missing data: A comparison of neural network and expectation maximization techniques

Tshilidzi Marwala, Shakir Mohamed, Fulufhelo V. Nelwamondo, 2007 .

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step pdf

Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow, 2017, ICLR.

On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models

Mark W. Schmidt, Nando de Freitas, David Poole, 2012, AISTATS.

Incremental Learning forClassification ofProtein Sequences

Tshilidzi Marwala, Shakir Mohamed, 2007 .

Unsupervised Learning of 3D Structure from Images

Max Jaderberg, Nicolas Heess, Shakir Mohamed, 2016, NIPS.

Normalizing Flows on Riemannian Manifolds pdf

Shakir Mohamed, Danilo Jimenez Rezende, Mevlana Gemici, 2016, ArXiv.

Implicit Reparameterization Gradients

Shakir Mohamed, Andriy Mnih, Mikhail Figurnov, 2018, NeurIPS.

Generative Temporal Models with Memory pdf

David Amos, Greg Wayne, Chia-Chun Hung, 2017, ArXiv.

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

Christopher Burgess, Shakir Mohamed, Matthew Botvinick, 2016, ICLR 2016.

Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression

Mohammad Emtiyaz Khan, Kevin P. Murphy, Shakir Mohamed, 2012, NIPS.

Skilful precipitation nowcasting using deep generative models of radar

Raia Hadsell, Karen Simonyan, Dmitry Kangin, 2021, Nature.

Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study

Geraint Rees, Demis Hassabis, Shakir Mohamed, 2019 .

Neural Network Based Techniques for Estimating Missing Data in Databases

Tshilidzi Marwala, Shakir Mohamed, S. Mohamed, 2005 .