G630, 32 Vassar Street
Stata Center, MIT
Cambridge, MA 02139
shibani AT mit DOT eduMy CV (last updated 9/7/2018)
I am a PhD student in Computer Science at MIT, where I am fortunate to be co-advised by Aleksander Madry and Nir Shavit. Before coming to MIT, I graduated from Indian Institute of Technology Bombay in 2015 with a Dual Degree (Bachelors and Masters) in Electrical Engineering.
My research interests are broadly in machine learning, particularly deep learning and learning theory. I am interested in developing a rigorous understanding of deep learning techniques, using a combination of systematic experiments and mathematical analysis.
During Summer '18, I worked with Ilya Mironov at Google Brain.
Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms?
Andrew Ilyas*, Logan Engstrom*, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
Robustness May Be at Odds with Accuracy
Dimitris Tsipras*, Shibani Santurkar*, Logan Engstrom*, Alexander Turner, Aleksander Madry
How Does Batch Normalization Help Optimization?
Shibani Santurkar*, Dimitris Tsipras*, Andrew Ilyas*, Aleksander Madry
NIPS 2018 (Oral Presentation)
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry
NIPS 2018 (Spotlight Presentation)
A Classification-Based Study of Covariate Shift in GAN Distributions
Shibani Santurkar, Ludwig Schmidt, Aleksander Madry
Shibani Santurkar, David Budden, Nir Shavit
Deep Tensor Convolution on Multicores
David Budden, Alex Matveev, Shibani Santurkar, Shraman Chaudhari, Nir Shavit
C.elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance
Shibani Santurkar, Bipin Rajendran
Toward Streaming Synapse Detection with Compositional ConvNets
Shibani Santurkar, Alex Matveev, Yaron Meirovitch, David Budden, Hayk Saribekyan, Nir Shavit
Oral presentation at NIPS 2016 Connectomics workshop
* Equal Contribution