Compressed sensing using generative models A Bora, A Jalal, E Price, AG Dimakis Proceedings of the 34th International Conference on Machine Learning (ICML …, 2017 | 895 | 2017 |
AmbientGAN: Generative models from lossy measurements A Bora, E Price, AG Dimakis International Conference on Learning Representations (ICLR) 2 (5), 3, 2018 | 232 | 2018 |
Predicting the risk of developing diabetic retinopathy using deep learning A Bora, S Balasubramanian, B Babenko, S Virmani, S Venugopalan, ... The Lancet Digital Health 3 (1), e10-e19, 2021 | 175 | 2021 |
Deep learning and glaucoma specialists: the relative importance of optic disc features to predict glaucoma referral in fundus photographs S Phene, RC Dunn, N Hammel, Y Liu, J Krause, N Kitade, ... Ophthalmology 126 (12), 1627-1639, 2019 | 171 | 2019 |
Deep generative models and inverse problems AG Dimakis Mathematical Aspects of Deep Learning 400, 2022 | 12 | 2022 |
Mimicking the worm—An adaptive spiking neural circuit for contour tracking inspired by C. Elegans thermotaxis A Bora, A Rao, B Rajendran 2014 International Joint Conference on Neural Networks (IJCNN), 2079-2086, 2014 | 12 | 2014 |
Machine Learning for Detection of Diseases from External Anterior Eye Images Y Liu, N Hammel, A Mitani, DJ Wu, AD Bora, AV Varadarajan, ... US Patent App. 18/011,597, 2023 | 2 | 2023 |
Predicting algorithmic approach for programming problems from natural language problem description A Bora, A Sinha | 2 | 2016 |
Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images A Bora, J Krause, A Misra, C Dunn, A Zaidi, O Kuruvilla, J Carlson, ... Investigative Ophthalmology & Visual Science 60 (9), 1448-1448, 2019 | 1 | 2019 |
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study A Bora, R Tiwari, P Bavishi, S Virmani, R Huang, I Traynis, GS Corrado, ... Translational Vision Science & Technology 12 (12), 11-11, 2023 | | 2023 |
Graphical RNN Models A Bora, S Basu, J Ghosh arXiv preprint arXiv:1612.05054, 2016 | | 2016 |
Edge conductance estimation using MCMC A Bora, VS Borkar, D Garg, R Sundaresan 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | | 2016 |
Learning to learn by gradient descent by reinforcement learning A Bora | | |
Longer RNNs A Bora, A Padmakumar, A Saran | | |
Low-supervision visual learning through cooperative agents A Bora, A Sinha | | |
Counting monotonic subsequences in a data stream A Bora, A Sinha, H Priyadarshi | | |