Stylistic analysis of paintings usingwavelets and machine learning. - Sina Jafarpour; Gungor Polatkan; Eugene Brevdo; Shannon M. Hughes; Andrei Brasoveanu; Ingrid Daubechies (EUSIPCO, 2009)

Detection of forgery in paintings using supervised learning. - Gungor Polatkan; Sina Jafarpour; Andrei Brasoveanu; Shannon M. Hughes; Ingrid Daubechies (ICIP, 2009)

The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. - Bo Chen 001; Gungor Polatkan; Guillermo Sapiro; David B. Dunson; Lawrence Carin (ICML, 2011)

Compressed Inference for Probabilistic Sequential Models. - Gungor Polatkan; Oncel Tuzel (UAI, 2011)

Extracting Information from High-Dimensional Data: Probabilistic Modeling, Inference and Evaluation - Gungor Polatkan (2012)

Painting analysis using wavelets and probabilistic topic models. - Tong Wu; Gungor Polatkan; David Steel; William P. Brown; Ingrid Daubechies; A. Robert Calderbank (ICIP, 2013)

Deep Learning with Hierarchical Convolutional Factor Analysis. - Bo Chen 001; Gungor Polatkan; Guillermo Sapiro; David M. Blei; David B. Dunson; Lawrence Carin (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A Bayesian Nonparametric Approach to Image Super-Resolution. - Gungor Polatkan; Mingyuan Zhou; Lawrence Carin; David M. Blei; Ingrid Daubechies (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Towards Deep and Representation Learning for Talent Search at LinkedIn. - Rohan Ramanath; Hakan Inan; Gungor Polatkan; Bo Hu; Qi Guo 003; Cagri Ozcaglar; Xianren Wu; Krishnaram Kenthapadi; Sahin Cem Geyik (CIKM, 2018)

Deploying Deep Ranking Models for Search Verticals. - Rohan Ramanath; Gungor Polatkan; Liqin Xu; Harold Lee; Bo Hu; Shan Zhou (CoRR, 2018)

Learning to be Relevant: Evolution of a Course Recommendation System. - Shivani Rao; Konstantin Salomatin; Gungor Polatkan; Mahesh Joshi; Sneha Chaudhari; Vladislav Tcheprasov; Jeffrey D. Gee; Deepak Kumar (CIKM, 2019)

Lambda Learner: Fast Incremental Learning on Data Streams. - Rohan Ramanath; Konstantin Salomatin; Jeffrey D. Gee; Kirill Talanine; Onkar Dalal; Gungor Polatkan; Sara Smoot; Deepak Kumar (KDD, 2021)

An Attentive Survey of Attention Models. - Sneha Chaudhari; Varun Mithal; Gungor Polatkan; Rohan Ramanath (ACM Trans. Intell. Syst. Technol., 2021)

360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation. - Hamed Firooz; Maziar Sanjabi; Adrian Englhardt; Aman Gupta; Ben Levine; Dre Olgiati; Gungor Polatkan; Iuliia Melnychuk; Karthik Ramgopal; Kirill Talanine; Kutta Srinivasan; Luke Simon; et al. (CoRR, 2025)