Shakir Mohamed
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
7
Active years
2006–2024
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AIES | Epistemic Injustice in Generative AI. | Jackie Kay, Atoosa Kasirzadeh, Shakir Mohamed |
| 2024 | CHI | The Illusion of Artificial Inclusion. | William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Daz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee |
| 2023 | CVPR | Understanding Deep Generative Models with Generalized Empirical Likelihoods. | Suman V. Ravuri, Mlanie Rey, Shakir Mohamed, Marc Peter Deisenroth |
| 2021 | AIES | Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. | Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed |
| 2018 | ICLR | Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step. | William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow |
| 2018 | ICML | Learning Implicit Generative Models with the Method of Learned Moments. | Suman V. Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals |
| 2017 | ICLR | Recurrent Environment Simulators. | Silvia Chiappa, Sbastien Racanire, Daan Wierstra, Shakir Mohamed |
| 2017 | ICLR | beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. | Irina Higgins, Loc Matthey, Arka Pal, Christopher P. Burgess, Xavier Glorot, Matthew M. Botvinick, Shakir Mohamed, Alexander Lerchner |
| 2016 | ICML | One-Shot Generalization in Deep Generative Models. | Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra |
| 2015 | ICML | Variational Inference with Normalizing Flows. | Danilo Jimenez Rezende, Shakir Mohamed |
| 2014 | ICML | Stochastic Backpropagation and Approximate Inference in Deep Generative Models. | Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra |
| 2013 | ICML | Adaptive Hamiltonian and Riemann Manifold Monte Carlo. | Ziyu Wang, Shakir Mohamed, Nando de Freitas |
| 2012 | ICML | Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning . | Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani |
| 2007 | IJCNN | Incremental Learning for Classification of Protein Sequences. | Shakir Mohamed, David M. Rubin, Tshilidzi Marwala |
| 2006 | IJCNN | An Extension Neural Network and Genetic Algorithm for Bearing Fault Classification. | Shakir Mohamed, Thando Tettey, Tshilidzi Marwala |
| 2006 | SMC | Multi-class Protein Sequence Classification Using Fuzzy ARTMAP. | Shakir Mohamed, David M. Rubin, Tshilidzi Marwala |