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Publication search results
found 8 matches
- 2020
- Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Gregory S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi:
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. CoRR abs/2008.04370 (2020) - 2018
- Ashish Bora, Eric Price, Alexandros G. Dimakis:
AmbientGAN: Generative models from lossy measurements. ICLR 2018 - Sonia Phene, R. Carter Dunn, Naama Hammel, Yun Liu, Jonathan Krause, Naho Kitade, Mike Schaekermann, Rory Sayres, Derek J. Wu, Ashish Bora, Christopher Semturs, Anita Misra, Abigail E. Huang, Arielle Spitze, Felipe A. Medeiros, April Y. Maa, Monica Gandhi, Gregory S. Corrado, Lily Peng, Dale R. Webster:
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. CoRR abs/1812.08911 (2018) - 2017
- Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis:
Compressed Sensing using Generative Models. ICML 2017: 537-546 - Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis:
Compressed Sensing using Generative Models. CoRR abs/1703.03208 (2017) - 2016
- Ashish Bora, Vivek S. Borkar, Dinesh Garg, Rajesh Sundaresan:
Edge conductance estimation using MCMC. Allerton 2016: 202-208 - Ashish Bora, Sugato Basu, Joydeep Ghosh:
Graphical RNN Models. CoRR abs/1612.05054 (2016) - 2014
- Ashish Bora, Arjun Rao, Bipin Rajendran:
Mimicking the worm - An adaptive spiking neural circuit for contour tracking inspired by C. Elegans thermotaxis. IJCNN 2014: 2079-2086
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