Multi-Hypothesis Compressed Video Sensing Technique. - Masoumeh Azghani; Mostafa Karimi; Farokh Marvasti (CoRR, 2014)

Multihypothesis Compressed Video Sensing Technique. - Masoumeh Azghani; Mostafa Karimi; Farokh Marvasti (IEEE Trans. Circuits Syst. Video Technol., 2016)

iCFN: an efficient exact algorithm for multistate protein design. - Mostafa Karimi; Yang Shen 001 (Bioinform., 2018)

DeepAffinity: interpretable deep learning of compound-protein affinity through unified recurrent and convolutional neural networks. - Mostafa Karimi; Di Wu 017; Zhangyang Wang; Yang Shen 001 (Bioinform., 2019)

Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks. - Mostafa Karimi; Gopalkrishna Veni; Yen-Yun Yu (CVPR Workshops, 2020)

Network-principled deep generative models for designing drug combinations as graph sets. - Mostafa Karimi; Arman Hasanzadeh; Yang Shen 001 (Bioinform., 2020)

De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks. - Mostafa Karimi; Shaowen Zhu; Yue Cao 010; Yang Shen 001 (J. Chem. Inf. Model., 2020)

Semi-automated method for the mapping of alluvial fans from DEM. - Abolghasem Goorabi; Mostafa Karimi; Gianluca Norini (Earth Sci. Informatics, 2021)

Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts. - Mostafa Karimi; Di Wu 017; Zhangyang Wang; Yang Shen 001 (J. Chem. Inf. Model., 2021)

Deploying self-supervised learning in the wild for hybrid automatic speech recognition. - Mostafa Karimi; Changliang Liu; Ken'ichi Kumatani; Yao Qian; Tianyu Wu; Jian Wu 027 (CoRR, 2022)

Data Distillation for extrapolative protein design through exact preference optimization. - Mostafa Karimi; Sharmi Banerjee; Tommi Jaakkola; Bella Dubrov; Shang Shang; Ron Benson (ICLR, 2025)