Saachi Jain

Email: saachij AT mit DOT edu
CV (last updated October 2021): here
Google Scholar: here
Github: @scoutsaachi
Twitter: @saachi_jain_

my face

About

I am a second year PhD student in the EECS department at MIT, where I am advised by Aleksander Mądry. My current research interests are in building more robust and reliable machine learning models. In particular, my goal is to understand how modern deep learning methods represent data and to identify the biases that they create. In the past, I've worked on problems in graph theory and the analysis of time series.

I graduated with my BS/MS in Computer Science at Stanford, where I worked with Jure Leskovec and Matei Zaharia. Before starting at MIT, I was a Computer Vision Scientist with Tesla Autopilot.

Papers

Certified Patch Robustness via Smoothed Vision Transformers
Hadi Salman*, Saachi Jain*, Eric Wong*, Aleksander Madry (2021). Blog

Combining Diverse Feature Priors
Saachi Jain*, Dimitris Tsipras, Aleksander Madry (2021) Blog

A Mechanism for Producing Aligned Latent Spaces with Autoencoders
Saachi Jain*, Adityanarayanan Radhakrishnan*, Caroline Uhler (2021)

Spectral Lower Bounds on the I/O Complexity of Computation Graphs.
Saachi Jain and Matei Zaharia
Symposium on Parallelism in Algorithms and Architectures (SPAA) 2020

MASA: Motif-Aware State Assignment in Noisy Time Series Data
Saachi Jain, David Hallac, Rok Sosic, and Jure Leskovec
Workshop on Mining and Learning from Time Series (MiLeTS) at SIGKDD 2019

Learning to Speak and Act in a Fantasy Text Adventure Game
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, and Jason Weston
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2019