Ali Madani

According to our database, Ali Madani authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Conditional Enzyme Generation Using Protein Language Models with Adapters.

Jason Yang, Aadyot Bhatnagar, Jeffrey A. Ruffolo, Ali Madani

CoRR, 2024

Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion.

Alex Morehead, Jeffrey A. Ruffolo, Aadyot Bhatnagar, Ali Madani

CoRR, 2024

2022

ProGen2: Exploring the Boundaries of Protein Language Models.

Erik Nijkamp, Jeffrey A. Ruffolo, Eli N. Weinstein, Nikhil Naik, Ali Madani

CoRR, 2022

2021

Deep learning-enabled medical computer vision.

Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric J. Topol, Jeff Dean, Richard Socher

npj Digit. Medicine, 2021

FLIP: Benchmark tasks in fitness landscape inference for proteins.

Christian Dallago, Jody Mou, Kadina E. Johnston, Bruce J. Wittmann, Nicholas Bhattacharya, Samuel Goldman, Ali Madani, Kevin K. Yang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Deep Extrapolation for Attribute-Enhanced Generation.

Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BERTology Meets Biology: Interpreting Attention in Protein Language Models.

Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models.

Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani

CoRR, 2020

ProGen: Language Modeling for Protein Generation.

Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher

CoRR, 2020

2019

ProDyn0: Inferring calponin homology domain stretching behavior using graph neural networks.

Ali Madani, Cyna Shirazinejad, Jia Rui Ong, Hengameh Shams, Mohammad R. K. Mofrad

CoRR, 2019

2018

Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease.

Ali Madani, Jia Rui Ong, Anshul Tibrewal, Mohammad R. K. Mofrad

npj Digit. Medicine, 2018

Fast and accurate view classification of echocardiograms using deep learning.

Ali Madani, Ramy Arnaout, Mohammad R. K. Mofrad, Rima Arnaout

npj Digit. Medicine, 2018

Chest x-ray generation and data augmentation for cardiovascular abnormality classification.

Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Bimodal Network Architectures for Automatic Generation of Image Annotation from Text.

Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation.

Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Fast and accurate classification of echocardiograms using deep learning.

Ali Madani, Ramy Arnaout, Mohammad R. K. Mofrad, Rima Arnaout

CoRR, 2017

2016

Modeling the impacts of tillage practices on water table depth, drain outflow and nitrogen losses using DRAINMOD.

Golmar Golmohammadi, Ramesh P. Rudra, Shiv O. Prasher, Ali Madani, Pradeep K. Goel, Kourosh Mohammadi

Comput. Electron. Agric., 2016