Ashish Bora

According to our database, Ashish Bora authored at least 7 papers between 2014 and 2020.

Collaborative distances:

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

2020

Predicting Risk of Developing Diabetic Retinopathy using Deep Learning.

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

CoRR, 2020

2018

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images.

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

CoRR, 2018

AmbientGAN: Generative models from lossy measurements.

Ashish Bora, Eric Price, Alexandros G. Dimakis

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Compressed Sensing using Generative Models.

Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Graphical RNN Models.

Ashish Bora, Sugato Basu, Joydeep Ghosh

CoRR, 2016

Edge conductance estimation using MCMC.

Ashish Bora, Vivek S. Borkar, Dinesh Garg, Rajesh Sundaresan

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2014

Mimicking the worm - An adaptive spiking neural circuit for contour tracking inspired by C. Elegans thermotaxis.

Ashish Bora, Arjun Rao, Bipin Rajendran

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014