Search Results for author: Mostafa Karimi

Found 6 papers, 2 papers with code

Network-principled deep generative models for designing drug combinations as graph sets

1 code implementation16 Apr 2020 Mostafa Karimi, Arman Hasanzadeh, Yang shen

We have developed the first deep generative model for drug combination design, by jointly embedding graph-structured domain knowledge and iteratively training a reinforcement learning-based chemical graph-set designer.

Graph Embedding

Directionally Dependent Multi-View Clustering Using Copula Model

no code implementations17 Mar 2020 Kahkashan Afrin, Ashif S. Iquebal, Mostafa Karimi, Allyson Souris, Se Yoon Lee, Bani K. Mallick

Motivated by this, we propose a copula-based multi-view clustering model where a copula enables the model to accommodate the directional dependence existing in the datasets.

Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts

no code implementations29 Dec 2019 Mostafa Karimi, Di wu, Zhangyang Wang, Yang shen

DeepRelations shows superior interpretability to the state-of-the-art: without compromising affinity prediction, it boosts the AUPRC of contact prediction 9. 5, 16. 9, 19. 3 and 5. 7-fold for the test, compound-unique, protein-unique, and both-unique sets, respectively.

BIG-bench Machine Learning Drug Discovery +1

Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks

no code implementations11 Oct 2019 Mostafa Karimi, Gopalkrishna Veni, Yen-Yun Yu

We tackle this problem by developing a handwritten-to-machine-print conditional Generative Adversarial network (HW2MP-GAN) model that formulates handwritten recognition as a text-Image-to-text-Image translation problem where a given image, typically in an illegible form, is converted into another image, close to its machine-print form.

Image-to-Image Translation Translation

Cannot find the paper you are looking for? You can Submit a new open access paper.