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2020 – today
- 2024
[i10]Alex Morehead, Jeffrey A. Ruffolo, Aadyot Bhatnagar, Ali Madani:
Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion. CoRR abs/2401.06151 (2024)- [i9]Jason Yang, Aadyot Bhatnagar, Jeffrey A. Ruffolo, Ali Madani:
Conditional Enzyme Generation Using Protein Language Models with Adapters. CoRR abs/2410.03634 (2024) - 2022
- [i8]Erik Nijkamp, Jeffrey A. Ruffolo, Eli N. Weinstein, Nikhil Naik, Ali Madani:
ProGen2: Exploring the Boundaries of Protein Language Models. CoRR abs/2206.13517 (2022) - 2021
- [j4]Andre Esteva
, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric J. Topol, Jeff Dean, Richard Socher:
Deep learning-enabled medical computer vision. npj Digit. Medicine 4 (2021) - [c6]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR 2021 - [c5]Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik:
Deep Extrapolation for Attribute-Enhanced Generation. NeurIPS 2021: 14084-14096 - [c4]Christian Dallago, Jody Mou, Kadina E. Johnston, Bruce J. Wittmann, Nicholas Bhattacharya, Samuel Goldman, Ali Madani, Kevin K. Yang:
FLIP: Benchmark tasks in fitness landscape inference for proteins. NeurIPS Datasets and Benchmarks 2021 - [i7]Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik:
Deep Extrapolation for Attribute-Enhanced Generation. CoRR abs/2107.02968 (2021) - 2020
- [i6]Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher:
ProGen: Language Modeling for Protein Generation. CoRR abs/2004.03497 (2020) - [i5]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR abs/2006.15222 (2020) - [i4]Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani:
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models. CoRR abs/2012.00195 (2020)
2010 – 2019
- 2019
- [i3]Ali Madani, Cyna Shirazinejad, Jia Rui Ong, Hengameh Shams, Mohammad R. K. Mofrad:
ProDyn0: Inferring calponin homology domain stretching behavior using graph neural networks. CoRR abs/1910.09738 (2019) - 2018
- [j3]Ali Madani, Ramy Arnaout, Mohammad R. K. Mofrad, Rima Arnaout:
Fast and accurate view classification of echocardiograms using deep learning. npj Digit. Medicine 1 (2018) - [j2]Ali Madani, Jia Rui Ong, Anshul Tibrewal, Mohammad R. K. Mofrad:
Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease. npj Digit. Medicine 1 (2018) - [c3]Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. ISBI 2018: 1038-1042 - [c2]Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood:
Bimodal Network Architectures for Automatic Generation of Image Annotation from Text. MICCAI (1) 2018: 449-456 - [c1]Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Chest x-ray generation and data augmentation for cardiovascular abnormality classification. Image Processing 2018: 105741M - [i2]Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood:
Bimodal network architectures for automatic generation of image annotation from text. CoRR abs/1809.01610 (2018) - 2017
- [i1]Ali Madani, Ramy Arnaout, Mohammad R. K. Mofrad, Rima Arnaout:
Fast and accurate classification of echocardiograms using deep learning. CoRR abs/1706.08658 (2017) - 2016
- [j1]Golmar Golmohammadi, Ramesh P. Rudra, Shiv O. Prasher, Ali Madani, Pradeep K. Goel, Kourosh Mohammadi:
Modeling the impacts of tillage practices on water table depth, drain outflow and nitrogen losses using DRAINMOD. Comput. Electron. Agric. 124: 73-83 (2016)
Coauthor Index
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