Abdul-Saboor Sheikh

21 papers A* 1A 3Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. ICLR Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs M. Bergmann, Roland Vollgraf
2020	A	`conf`	Meta-Learning for Size and Fit Recommendation in Fashion. SDM Julia Lasserre, Abdul-Saboor Sheikh, Evgenii Koriagin, Urs Bergmann, Roland Vollgraf, Reza Shirvany
2020	J	`jnl`	Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. CoRR Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf
2019	J	`jnl`	A Bandit Framework for Optimal Selection of Reinforcement Learning Agents. CoRR Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann
2019	J	`jnl`	A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce. CoRR Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann
2019	J	`jnl`	A Hierarchical Bayesian Model for Size Recommendation in Fashion. CoRR Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany
2019	A	`conf`	A deep learning system for predicting size and fit in fashion e-commerce. RecSys Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann
2019	J	`jnl`	ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions. CoRR Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke
2019	J	`jnl`	STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. PLoS Comput. Biol. Abdul-Saboor Sheikh, Nicol S. Harper, Jakob Drefs, Yosef Singer, Zhenwen Dai, Richard E. Turner, Jörg Lücke
2018	A	`conf`	A hierarchical bayesian model for size recommendation in fashion. RecSys Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany
2018	J	`jnl`	Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks. Neural Comput. Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke
2017	—	`—`	On scalable inference and learning in spike-and-slab sparse coding. Abdul-Saboor Sheikh
2017	J	`jnl`	Stochastic Maximum Likelihood Optimization via Hypernetworks. CoRR Abdul-Saboor Sheikh, Kashif Rasul, Andreas Merentitis, Urs Bergmann
2016	—	`conf`	Select-and-Sample for Spike-and-Slab Sparse Coding. NIPS Abdul-Saboor Sheikh, Jörg Lücke
2015	J	`jnl`	Neural Simpletrons - Minimalistic Probabilistic Networks for Learning With Few Labels. CoRR Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke
2014	J	`jnl`	A truncated EM approach for spike-and-slab sparse coding. J. Mach. Learn. Res. Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke
2012	—	`conf`	Closed-Form EM for Sparse Coding and Its Application to Source Separation. LVA/ICA Jörg Lücke, Abdul-Saboor Sheikh
2012	—	`conf`	Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding. NIPS Jacquelyn A. Shelton, Philip Sterne, Jörg Bornschein, Abdul-Saboor Sheikh, Jörg Lücke
2011	—	`conf`	Select and Sample - A Model of Efficient Neural Inference and Learning. NIPS Jacquelyn A. Shelton, Jörg Bornschein, Abdul-Saboor Sheikh, Pietro Berkes, Jörg Lücke
2010	J	`jnl`	Structured literature image finder: Parsing text and figures in biomedical literature. J. Web Semant. Amr Ahmed, Andrew Arnold, Luís Pedro Coelho, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy
2008	—	`conf`	Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature. BioLINK@ISMB/ECCB Luís Pedro Coelho, Amr Ahmed, Andrew Arnold, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy