Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Jul 08, 2020
Shakir Mohamed, Marie-Therese Png, William Isaac

* 28 Pages. Accepted, to appear in: Philosophy and Technology (405), Springer. Submitted 16 January, Accepted 26 May 2020 

  Access Paper or Ask Questions

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

May 11, 2020
Rachel Prudden, Samantha Adams, Dmitry Kangin, Niall Robinson, Suman Ravuri, Shakir Mohamed, Alberto Arribas

* 17 pages This work has been submitted to Monthly Weather Review. Copyright in this work may be transferred without further notice 

  Access Paper or Ask Questions

Levels of Analysis for Machine Learning

Apr 06, 2020
Jessica Hamrick, Shakir Mohamed

* Accepted to the workshop on "Bridging AI and Cognitive Science" at ICLR 2020 

  Access Paper or Ask Questions

Normalizing Flows for Probabilistic Modeling and Inference

Dec 05, 2019
George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan

* Review article. 60 pages, 4 figures 

  Access Paper or Ask Questions

Monte Carlo Gradient Estimation in Machine Learning

Jun 25, 2019
Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih

* 59 pages, under review 

  Access Paper or Ask Questions

Training language GANs from Scratch

May 23, 2019
Cyprien de Masson d'Autume, Mihaela Rosca, Jack Rae, Shakir Mohamed


  Access Paper or Ask Questions

Implicit Reparameterization Gradients

Nov 01, 2018
Michael Figurnov, Shakir Mohamed, Andriy Mnih

* NIPS 2018 

  Access Paper or Ask Questions

Learning Implicit Generative Models with the Method of Learned Moments

Jun 28, 2018
Suman Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals

* ICML 2018, 6 figures, 17 pages 

  Access Paper or Ask Questions

Unsupervised Learning of 3D Structure from Images

Jun 19, 2018
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, Nicolas Heess

* Appears in Advances in Neural Information Processing Systems 29 (NIPS 2016) 

  Access Paper or Ask Questions

Distribution Matching in Variational Inference

Jun 12, 2018
Mihaela Rosca, Balaji Lakshminarayanan, Shakir Mohamed


  Access Paper or Ask Questions

Unsupervised Predictive Memory in a Goal-Directed Agent

Mar 28, 2018
Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matt Botvinick, Demis Hassabis, Timothy Lillicrap


  Access Paper or Ask Questions

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

Feb 20, 2018
William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian Goodfellow

* 18 pages 

  Access Paper or Ask Questions

Variational Approaches for Auto-Encoding Generative Adversarial Networks

Oct 21, 2017
Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, Shakir Mohamed


  Access Paper or Ask Questions

The Cramer Distance as a Solution to Biased Wasserstein Gradients

May 30, 2017
Marc G. Bellemare, Ivo Danihelka, Will Dabney, Shakir Mohamed, Balaji Lakshminarayanan, Stephan Hoyer, Rémi Munos


  Access Paper or Ask Questions

Recurrent Environment Simulators

Apr 19, 2017
Silvia Chiappa, Sébastien Racaniere, Daan Wierstra, Shakir Mohamed


  Access Paper or Ask Questions

Learning in Implicit Generative Models

Feb 27, 2017
Shakir Mohamed, Balaji Lakshminarayanan


  Access Paper or Ask Questions

Generative Temporal Models with Memory

Feb 21, 2017
Mevlana Gemici, Chia-Chun Hung, Adam Santoro, Greg Wayne, Shakir Mohamed, Danilo J. Rezende, David Amos, Timothy Lillicrap


  Access Paper or Ask Questions

Normalizing Flows on Riemannian Manifolds

Nov 09, 2016
Mevlana C. Gemici, Danilo Rezende, Shakir Mohamed

* 3 pages, 2 figures, Submitted to Workshop on Bayesian Deep Learning at NIPS 2016 

  Access Paper or Ask Questions

Early Visual Concept Learning with Unsupervised Deep Learning

Sep 20, 2016
Irina Higgins, Loic Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner


  Access Paper or Ask Questions

Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version

Aug 17, 2016
Marc Peter Deisenroth, Shakir Mohamed

* Advances in Neural Information Processing Systems 25 (NIPS), pp. 2609-2617, 2012 

  Access Paper or Ask Questions

Variational Inference with Normalizing Flows

Jun 14, 2016
Danilo Jimenez Rezende, Shakir Mohamed

* Proceedings of the 32nd International Conference on Machine Learning 

  Access Paper or Ask Questions

One-Shot Generalization in Deep Generative Models

May 25, 2016
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra

* 8pgs, 1pg references, 1pg appendix, In Proceedings of the 33rd International Conference on Machine Learning, JMLR: W&CP volume 48, 2016 

  Access Paper or Ask Questions

Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning

Sep 29, 2015
Shakir Mohamed, Danilo Jimenez Rezende

* Proceedings of the 29th Conference on Neural Information Processing Systems (NIPS 2015) 

  Access Paper or Ask Questions

Semi-Supervised Learning with Deep Generative Models

Oct 31, 2014
Diederik P. Kingma, Danilo J. Rezende, Shakir Mohamed, Max Welling

* To appear in the proceedings of Neural Information Processing Systems (NIPS) 2014 

  Access Paper or Ask Questions

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

May 30, 2014
Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra

* Appears In Proceedings of the 31st International Conference on Machine Learning (ICML), JMLR: W\&CP volume 32, 2014 

  Access Paper or Ask Questions

Bayesian and L1 Approaches to Sparse Unsupervised Learning

Aug 17, 2012
Shakir Mohamed, Katherine Heller, Zoubin Ghahramani

* In Proceedings of the 29th International Conference on Machine Learning (ICML), Edinburgh, Scotland, 2012 

  Access Paper or Ask Questions