Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature. - Luís Pedro Coelho; Amr Ahmed 001; Andrew Arnold; Joshua D. Kangas; Abdul-Saboor Sheikh; Eric P. Xing; William W. Cohen; Robert F. Murphy (BioLINK@ISMB/ECCB, 2008)

Structured literature image finder: Parsing text and figures in biomedical literature. - Amr Ahmed 001; Andrew Arnold; Luís Pedro Coelho; Joshua D. Kangas; Abdul-Saboor Sheikh; Eric P. Xing; William W. Cohen; Robert F. Murphy (J. Web Semant., 2010)

Select and Sample - A Model of Efficient Neural Inference and Learning. - Jacquelyn A. Shelton; Jörg Bornschein; Abdul-Saboor Sheikh; Pietro Berkes; Jörg Lücke (NIPS, 2011)

Closed-Form EM for Sparse Coding and Its Application to Source Separation. - Jörg Lücke; Abdul-Saboor Sheikh (LVA/ICA, 2012)

Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding. - Jacquelyn A. Shelton; Philip Sterne; Jörg Bornschein; Abdul-Saboor Sheikh; Jörg Lücke (NIPS, 2012)

A truncated EM approach for spike-and-slab sparse coding. - Abdul-Saboor Sheikh; Jacquelyn A. Shelton; Jörg Lücke (J. Mach. Learn. Res., 2014)

Neural Simpletrons - Minimalistic Probabilistic Networks for Learning With Few Labels. - Dennis Forster; Abdul-Saboor Sheikh; Jörg Lücke (CoRR, 2015)

Select-and-Sample for Spike-and-Slab Sparse Coding. - Abdul-Saboor Sheikh; Jörg Lücke (NIPS, 2016)

Stochastic Maximum Likelihood Optimization via Hypernetworks. - Abdul-Saboor Sheikh; Kashif Rasul; Andreas Merentitis; Urs Bergmann (CoRR, 2017)

On scalable inference and learning in spike-and-slab sparse coding. - Abdul-Saboor Sheikh (2017)

A hierarchical bayesian model for size recommendation in fashion. - Romain Guigourès; Yuen King Ho; Evgenii Koriagin; Abdul-Saboor Sheikh; Urs Bergmann; Reza Shirvany (RecSys, 2018)

Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks. - Dennis Forster; Abdul-Saboor Sheikh; Jörg Lücke (Neural Comput., 2018)

A deep learning system for predicting size and fit in fashion e-commerce. - Abdul-Saboor Sheikh; Romain Guigourès; Evgenii Koriagin; Yuen King Ho; Reza Shirvany; Roland Vollgraf; Urs Bergmann (RecSys, 2019)

A Bandit Framework for Optimal Selection of Reinforcement Learning Agents. - Andreas Merentitis; Kashif Rasul; Roland Vollgraf; Abdul-Saboor Sheikh; Urs Bergmann (CoRR, 2019)

ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions. - Georgios Exarchakis; Jörg Bornschein; Abdul-Saboor Sheikh; Zhenwen Dai; Marc Henniges; Jakob Drefs; Jörg Lücke (CoRR, 2019)

STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. - Abdul-Saboor Sheikh; Nicol S. Harper; Jakob Drefs; Yosef Singer; Zhenwen Dai; Richard E. Turner; Jörg Lücke (PLoS Comput. Biol., 2019)

Meta-Learning for Size and Fit Recommendation in Fashion. - Julia Lasserre; Abdul-Saboor Sheikh; Evgenii Koriagin; Urs Bergmann; Roland Vollgraf; Reza Shirvany (SDM, 2020)

Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. - Kashif Rasul; Abdul-Saboor Sheikh; Ingmar Schuster; Urs Bergmann; Roland Vollgraf (CoRR, 2020)

Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. - Kashif Rasul; Abdul-Saboor Sheikh; Ingmar Schuster; Urs M. Bergmann; Roland Vollgraf (ICLR, 2021)