Sparse representations in deep learning for noise-robust digit classification. - Muhammad Ghifary; W. Bastiaan Kleijn; Mengjie Zhang 001 (IVCNZ, 2013)

Deep hybrid networks with good out-of-sample object recognition. - Muhammad Ghifary; W. Bastiaan Kleijn; Mengjie Zhang 001 (ICASSP, 2014)

Domain Adaptive Neural Networks for Object Recognition. - Muhammad Ghifary; W. Bastiaan Kleijn; Mengjie Zhang 001 (PRICAI, 2014)

Domain Generalization for Object Recognition with Multi-task Autoencoders. - Muhammad Ghifary; W. Bastiaan Kleijn; Mengjie Zhang 001; David Balduzzi (ICCV, 2015)

Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies. - David Balduzzi; Muhammad Ghifary (CoRR, 2015)

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation. - Muhammad Ghifary; W. Bastiaan Kleijn; Mengjie Zhang 001; David Balduzzi; Wen Li (ECCV (4), 2016)

Strongly-Typed Recurrent Neural Networks. - David Balduzzi; Muhammad Ghifary (ICML, 2016)

Domain Adaptation and Domain Generalization with Representation Learning. - Muhammad Ghifary (2016)

Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization. - Muhammad Ghifary; David Balduzzi; W. Bastiaan Kleijn; Mengjie Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

FDLS: A Deep Learning Approach to Production Quality, Controllable, and Retargetable Facial Performances. - Wan-Duo Kurt Ma; Muhammad Ghifary; John P. Lewis; Byungkuk Choi; Haegwang Eom (DigiPro, 2022)

FDLS: A Deep Learning Approach to Production Quality, Controllable, and Retargetable Facial Performances. - Wan-Duo Kurt Ma; Muhammad Ghifary; John P. Lewis; Byungkuk Choi; Haekwang Eom (CoRR, 2023)