Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDShakir Mohamed
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2021
[i29]Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed:
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. CoRR abs/2102.04257 (2021)- 2020
- [j1]Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih:
Monte Carlo Gradient Estimation in Machine Learning. J. Mach. Learn. Res. 21: 132:1-132:62 (2020) - [i28]Jessica B. Hamrick, Shakir Mohamed:
Levels of Analysis for Machine Learning. CoRR abs/2004.05107 (2020) - [i27]Rachel Prudden, Samantha V. Adams, Dmitry Kangin, Niall H. Robinson, Suman V. Ravuri, Shakir Mohamed, Alberto Arribas:
A review of radar-based nowcasting of precipitation and applicable machine learning techniques. CoRR abs/2005.04988 (2020) - [i26]Shakir Mohamed, Marie-Therese Png, William Isaac:
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence. CoRR abs/2007.04068 (2020) - [i25]Mihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed:
A case for new neural network smoothness constraints. CoRR abs/2012.07969 (2020)
2010 – 2019
- 2019
- [c24]Cyprien de Masson d'Autume, Shakir Mohamed, Mihaela Rosca, Jack W. Rae:
Training Language GANs from Scratch. NeurIPS 2019: 4302-4313 - [i24]Cyprien de Masson d'Autume, Mihaela Rosca, Jack W. Rae, Shakir Mohamed:
Training language GANs from Scratch. CoRR abs/1905.09922 (2019) - [i23]Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih:
Monte Carlo Gradient Estimation in Machine Learning. CoRR abs/1906.10652 (2019) - [i22]George Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan:
Normalizing Flows for Probabilistic Modeling and Inference. CoRR abs/1912.02762 (2019) - 2018
- [c23]William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow:
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step. ICLR (Poster) 2018 - [c22]Suman V. Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals:
Learning Implicit Generative Models with the Method of Learned Moments. ICML 2018: 4311-4320 - [c21]Mikhail Figurnov, Shakir Mohamed, Andriy Mnih:
Implicit Reparameterization Gradients. NeurIPS 2018: 439-450 - [i21]Mihaela Rosca, Balaji Lakshminarayanan, Shakir Mohamed:
Distribution Matching in Variational Inference. CoRR abs/1802.06847 (2018) - [i20]Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack W. Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Jimenez Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matthew Botvinick, Demis Hassabis, Timothy P. Lillicrap:
Unsupervised Predictive Memory in a Goal-Directed Agent. CoRR abs/1803.10760 (2018) - [i19]Michael Figurnov, Shakir Mohamed, Andriy Mnih:
Implicit Reparameterization Gradients. CoRR abs/1805.08498 (2018) - [i18]Suman V. Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals:
Learning Implicit Generative Models with the Method of Learned Moments. CoRR abs/1806.11006 (2018) - 2017
- [c20]Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed:
Recurrent Environment Simulators. ICLR (Poster) 2017 - [c19]Irina Higgins, Loïc Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, Alexander Lerchner:
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. ICLR (Poster) 2017 - [i17]Mevlana Gemici, Chia-Chun Hung, Adam Santoro, Greg Wayne, Shakir Mohamed, Danilo Jimenez Rezende, David Amos, Timothy P. Lillicrap:
Generative Temporal Models with Memory. CoRR abs/1702.04649 (2017) - [i16]Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed:
Recurrent Environment Simulators. CoRR abs/1704.02254 (2017) - [i15]Marc G. Bellemare, Ivo Danihelka, Will Dabney, Shakir Mohamed, Balaji Lakshminarayanan, Stephan Hoyer, Rémi Munos:
The Cramer Distance as a Solution to Biased Wasserstein Gradients. CoRR abs/1705.10743 (2017) - [i14]Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, Shakir Mohamed:
Variational Approaches for Auto-Encoding Generative Adversarial Networks. CoRR abs/1706.04987 (2017) - [i13]William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow:
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step. CoRR abs/1710.08446 (2017) - 2016
- [c18]Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra:
One-Shot Generalization in Deep Generative Models. ICML 2016: 1521-1529 - [c17]Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter W. Battaglia, Max Jaderberg, Nicolas Heess:
Unsupervised Learning of 3D Structure from Images. NIPS 2016: 4997-5005 - [i12]Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra:
One-Shot Generalization in Deep Generative Models. CoRR abs/1603.05106 (2016) - [i11]Irina Higgins, Loïc Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner:
Early Visual Concept Learning with Unsupervised Deep Learning. CoRR abs/1606.05579 (2016) - [i10]Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter W. Battaglia, Max Jaderberg, Nicolas Heess:
Unsupervised Learning of 3D Structure from Images. CoRR abs/1607.00662 (2016) - [i9]Shakir Mohamed, Balaji Lakshminarayanan:
Learning in Implicit Generative Models. CoRR abs/1610.03483 (2016) - [i8]Mevlana C. Gemici, Danilo Jimenez Rezende, Shakir Mohamed:
Normalizing Flows on Riemannian Manifolds. CoRR abs/1611.02304 (2016) - 2015
- [c16]Danilo Jimenez Rezende, Shakir Mohamed:
Variational Inference with Normalizing Flows. ICML 2015: 1530-1538 - [c15]Shakir Mohamed, Danilo Jimenez Rezende:
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning. NIPS 2015: 2125-2133 - [i7]Danilo Jimenez Rezende, Shakir Mohamed:
Variational Inference with Normalizing Flows. CoRR abs/1505.05770 (2015) - [i6]Shakir Mohamed, Danilo Jimenez Rezende:
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning. CoRR abs/1509.08731 (2015) - 2014
- [c14]Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra:
Stochastic Backpropagation and Approximate Inference in Deep Generative Models. ICML 2014: 1278-1286 - [c13]Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende, Max Welling:
Semi-supervised Learning with Deep Generative Models. NIPS 2014: 3581-3589 - [r1]Zoubin Ghahramani, Shakir Mohamed, Katherine A. Heller:
Partial Membership and Factor Analysis. Handbook of Mixed Membership Models and Their Applications 2014: 67-88 - [i5]Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra:
Stochastic Back-propagation and Variational Inference in Deep Latent Gaussian Models. CoRR abs/1401.4082 (2014) - [i4]Diederik P. Kingma, Danilo Jimenez Rezende, Shakir Mohamed, Max Welling:
Semi-Supervised Learning with Deep Generative Models. CoRR abs/1406.5298 (2014) - 2013
- [c12]Ziyu Wang, Shakir Mohamed, Nando de Freitas:
Adaptive Hamiltonian and Riemann Manifold Monte Carlo. ICML (3) 2013: 1462-1470 - 2012
- [c11]Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani:
Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning . ICML 2012 - [c10]Marc Peter Deisenroth, Shakir Mohamed:
Expectation Propagation in Gaussian Process Dynamical Systems. NIPS 2012: 2618-2626 - [c9]Mohammad Emtiyaz Khan, Shakir Mohamed, Kevin P. Murphy:
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression. NIPS 2012: 3149-3157 - [c8]David Buchman, Mark Schmidt, Shakir Mohamed, David Poole, Nando de Freitas:
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models. AISTATS 2012: 173-181 - [c7]Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M. Marlin, Kevin P. Murphy:
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models. AISTATS 2012: 610-618 - [i3]Marc Peter Deisenroth, Shakir Mohamed:
Expectation Propagation in Gaussian Process Dynamical Systems. CoRR abs/1207.2940 (2012) - 2011
- [b1]Shakir Mohamed:
Generalised Bayesian matrix factorisation models. University of Cambridge, UK, 2011 - [i2]Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani:
Bayesian and L1 Approaches to Sparse Unsupervised Learning. CoRR abs/1106.1157 (2011)
2000 – 2009
- 2009
- [c6]Mikkel N. Schmidt, Shakir Mohamed:
Probabilistic non-negative tensor factorization using Markov chain Monte Carlo. EUSIPCO 2009: 1918-1922 - [c5]Finale Doshi-Velez, David A. Knowles, Shakir Mohamed, Zoubin Ghahramani:
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process. NIPS 2009: 1294-1302 - 2008
- [c4]Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani:
Bayesian Exponential Family PCA. NIPS 2008: 1089-1096 - 2007
- [c3]Shakir Mohamed, David M. Rubin
, Tshilidzi Marwala:
Incremental Learning for Classification of Protein Sequences. IJCNN 2007: 19-24 - [i1]Shakir Mohamed, David M. Rubin, Tshilidzi Marwala:
An Adaptive Strategy for the Classification of G-Protein Coupled Receptors. CoRR abs/0704.3453 (2007) - 2006
- [c2]Shakir Mohamed, Thando Tettey, Tshilidzi Marwala:
An Extension Neural Network and Genetic Algorithm for Bearing Fault Classification. IJCNN 2006: 3942-3948 - [c1]Shakir Mohamed, David M. Rubin, Tshilidzi Marwala:
Multi-class Protein Sequence Classification Using Fuzzy ARTMAP. SMC 2006: 1676-1681
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2021-02-11 22:11 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
