Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks. - Abdullah Rashwan; Han Zhao 002; Pascal Poupart (AISTATS, 2016)

Online Algorithms for Sum-Product Networks with Continuous Variables. - Priyank Jaini; Abdullah Rashwan; Han Zhao 002; Yue Liu; Ershad Banijamali; Zhitang Chen; Pascal Poupart (Probabilistic Graphical Models, 2016)

Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks. - Agastya Kalra; Abdullah Rashwan; Wei-Shou Hsu; Pascal Poupart; Prashant Doshi; Georgios Trimponias (NeurIPS, 2018)

Fully Connected Network for HEVC CU Split Decision equipped with Laplacian Transparent Composite Model. - Hossam Amer; Abdullah Rashwan; En-Hui Yang (PCS, 2018)

Discriminative Training of Sum-Product Networks by Extended Baum-Welch. - Abdullah Rashwan; Pascal Poupart; Zhitang Chen (PGM, 2018)

Matrix Nets: A New Deep Architecture for Object Detection. - Abdullah Rashwan; Agastya Kalra; Pascal Poupart (ICCV Workshops, 2019)

Parameter and Structure Learning Techniques for Sum Product Networks. - Abdullah Rashwan (2019)

Batch norm with entropic regularization turns deterministic autoencoders into generative models. - Amur Ghose; Abdullah Rashwan; Pascal Poupart (UAI, 2020)

MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection. - Abdullah Rashwan; Rishav Agarwal; Agastya Kalra; Pascal Poupart (CoRR, 2020)

Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch. - Haonan Duan 002; Abdullah Rashwan; Pascal Poupart; Zhitang Chen (Int. J. Approx. Reason., 2020)

Dilated SpineNet for Semantic Segmentation. - Abdullah Rashwan; Xianzhi Du; Xiaoqi Yin; Jing Li (CoRR, 2021)

AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts. - Tianlong Chen 001; Xuxi Chen; Xianzhi Du; Abdullah Rashwan; Fan Yang; Huizhong Chen; Zhangyang Wang; Yeqing Li (ICCV, 2023)

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. - Xiuye Gu; Yin Cui; Jonathan Huang; Abdullah Rashwan; Xuan Yang; Xingyi Zhou; Golnaz Ghiasi; Weicheng Kuo; Huizhong Chen; Liang-Chieh Chen; David A. Ross (NeurIPS, 2023)

Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling. - Ke Yu; Stephen Albro; Giulia DeSalvo; Suraj Kothawade; Abdullah Rashwan; Sasan Tavakkol; Kayhan Batmanghelich; Xiaoqi Yin (CoRR, 2023)

Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning. - Yanting Miao; William Loh; Suraj Kothawade; Pascal Poupart; Abdullah Rashwan; Yeqing Li (NeurIPS, 2024)

MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. - Abdullah Rashwan; Jiageng Zhang; Ali Taalimi; Fan Yang; Xingyi Zhou; Chaochao Yan; Liang-Chieh Chen; Yeqing Li (WACV, 2024)

Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis. - Emaad Khwaja; Abdullah Rashwan; Ting Chen; Oliver Wang; Suraj Kothawade; Yeqing Li (CoRR, 2024)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. - Cristina Nader Vasconcelos; Abdullah Rashwan; Austin Waters; Trevor Walker; Keyang Xu; Jimmy Yan; Rui Qian; Yeqing Li; Shixin Luo; Yasumasa Onoe; Zarana Parekh; Ivana Kajic; et al. (Trans. Mach. Learn. Res., 2024)